Sunday, December 7, 2025

35M Alcoholism, Pulmonary edema, Hyponatremia, AKI Telangana PaJR

 

06-12-2025

THIS IS AN ONLINE E LOG BOOK TO DISCUSS OUR PATIENT'S HEALTH DATA SHARED AFTER TAKING HIS SIGNED INFORMED CONSENT. HERE WE DISCUSS OUR PATIENT'S PROBLEMS THROUGH SERIES OF INPUTS FROM AVAILABLE GLOBAL ONLINE COMMUNITY EXPERT WITH AN AIM TO SOLVE THOSE PATIENT'S CLINICAL PROBLEMS WITH COLLECTIVE CURRENT BEST EVIDENCE BASED INPUTS.

[2.57 pm, 07/12/2025] PPM 1: Here's the handwritten history. Unfortunately this is something that AI may not be able to convert to legible text and human volunteers like @PPM3@PPM4 may be able to help by typing the gist of it here, if when they are free?


[3.02 pm, 07/12/2025] PPM 1: He was admitted with altered sensorium suggestive of delirium tremens and on further labs was found to have azotemia, renal failure with severe metabolic acidosis and hyponatremia.
He was taken up for dialysis, and they may have also adjusted his sodium during dialysis when it jumped up 10 Meq from 115 to 125! 
@PPM5 @Meta AI what are the precautions one needs to take during dialysis of hyponatremia patients as in how would they set the dialysate sodium to adjust for the patient's Hyponatremia to ensure that there is no rapid correction precipitating osmotic demyelination syndrome?
@PPM5
[3:02 pm, 07/12/2025] Meta AI: Dialyzing a patient with severe hyponatremia requires careful attention to avoid rapid correction, which can lead to osmotic demyelination syndrome (ODS). Here are some precautions:
1. Set dialysate sodium: The dialysate sodium concentration should be set to gradually increase the patient's sodium levels. A common approach is to set the dialysate sodium around 10-15 Meq/L above the patient's current sodium level.
2. Gradual correction: Aim for a sodium correction rate of 4-6 Meq/L in the first 24 hours, not exceeding 8 Meq/L.
3. Monitor sodium levels: Frequently check sodium levels during dialysis (e.g., every 2-4 hours) to adjust the dialysate sodium as needed.
4. Adjust dialysate sodium: If the sodium level is rising too quickly, reduce or stop the sodium increase in the dialysate.
5. Consider sodium modeling: Some dialysis machines allow sodium modeling, which can help achieve a more gradual correction.
In this case, the patient's sodium jumped 10 Meq (from 115 to 125), which might be too rapid. The dialysis team should closely monitor the patient for signs of ODS and adjust the dialysate sodium accordingly.
Would you like more details on managing hyponatremia during dialysis or ODS prevention strategies?
[3.05 pm, 07/12/2025] PPM 1: Serial sodiums and creatinine and platelets
[3:08 pm, 07/12/2025] PPM 1: Going by his history of Alcoholism since 20 years, what are the likely differentials for his acute delirium, Hyponatremia, acute renal failure and pulmonary edema, metabolic acidosis? What would be the best way to confirm methanol poisoning in this patient?
@PPM5 @Meta AI
[3:08 pm, 07/12/2025] Meta AI: Given the patient's history of alcoholism, here are some likely differentials:
- Delirium: Delirium tremens, Worsening hepatic encephalopathy, CNS infection, traumatic brain injury, or toxic ingestion (e.g., methanol, ethylene glycol)
- Hyponatremia: SIADH, volume overload, or hypovolemia
- Acute renal failure: Acute tubular necrosis (ATN) secondary to hypovolemia, sepsis, or toxins (e.g., alcohol, medications)
- Pulmonary edema: Cardiogenic (e.g., alcoholic cardiomyopathy) or non-cardiogenic (e.g., sepsis, ARDS)
- Metabolic acidosis: Lactic acidosis, ketoacidosis, or toxic ingestion (e.g., methanol, ethylene glycol)
For methanol poisoning:
- Clinical suspicion: High anion gap metabolic acidosis, visual disturbances, and altered sensorium
- Lab tests:
    - Serum methanol levels (gold standard)
    - Arterial blood gas (ABG) showing high anion gap metabolic acidosis
    - Serum osmolality and osmolar gap
    - Urine methanol levels
- Confirmation: Gas chromatography can measure methanol levels, but treatment often starts based on clinical suspicion and lab findings.
Best way to confirm: Send serum for methanol levels and consider empiric treatment with fomepizole or ethanol if clinical suspicion is high.
Would you like more on management or investigation strategies?
[3:26 pm, 07/12/2025] PPM 2: Industrial antifreeze contamination comes to mind.
[3:27 pm, 07/12/2025] PPM 2: Aka Polyethylene glycol, which, unfortunately through cough syrups and subsequent catastrophic events, has taught me, is a common contaminant.
[4.56 pm, 07/12/2025] PPM 5: Based on the presentation of **acute delirium, hyponatremia, acute renal failure, pulmonary edema, and metabolic acidosis** in a patient with a **20-year history of alcoholism**, the differential diagnosis must account for both chronic complications of alcohol use and potential acute toxic ingestions.
### **Key Likely Differentials (in order of suspicion):**
1.  **Methanol or Ethylene Glycol Poisoning (Toxic Alcohols)**
    *   **Why it fits:** This is a **top contender**. Patients with chronic alcoholism may ingest methanol or ethylene glycol as substitutes. Both cause:
        *   **Severe high anion gap metabolic acidosis** (due to formic acid from methanol or glycolic/oxalic acid from ethylene glycol).
        *   **Acute delirium/encephalopathy.**
        *   **Acute renal failure** (especially prominent with ethylene glycol due to calcium oxalate crystal deposition).
        *   **Pulmonary edema** can occur from direct toxicity, acidosis, or complicating acute renal failure.
        *   Hyponatremia may be pre-existing or exacerbated by vomiting/volume depletion.
2.  **Acute Alcoholic Hepatitis with Multi-Organ Failure**
    *   **Why it fits:** Severe inflammation from alcohol can precipitate:
        *   **Acute renal failure** (hepatorenal syndrome).
        *   **Metabolic acidosis** (lactic acidosis from liver failure, hypoperfusion, or alcohol metabolism).
        *   **Delirium** (hepatic encephalopathy).
        *   **Pulmonary edema** (due to volume overload from renal failure or less commonly hepatopulmonary syndrome).
        *   Hyponatremia is a classic feature of advanced cirrhosis due to reduced free water clearance.

3.  **Sepsis/Infection (e.g., Spontaneous Bacterial Peritonitis, Pneumonia) Complicating Cirrhosis**
    *   **Why it fits:** Patients with alcoholic cirrhosis are immunocompromised and prone to infections, which can trigger:
        *   **Delirium** (septic encephalopathy).
        *   **Acute renal failure** (acute kidney injury due to sepsis).
        *   **Metabolic acidosis** (lactic acidosis from sepsis).
        *   **Pulmonary edema** (could be due to ARDS from sepsis or fluid resuscitation).
       *   Hyponatremia is often worsened by sepsis.
4.  **Wernicke's Encephalopathy with Decompensation**
    *   **Why it fits:** Thiamine deficiency is common. While classic Wernicke's presents with ophthalmoplegia, ataxia, and confusion, it can be atypical. Severe metabolic stress (infection, withdrawal) in a thiamine-deficient state can lead to global decompensation, including lactic acidosis and organ failure, though it's less directly causative of the full picture.
5.  **Combined Alcohol Withdrawal Delirium (DTs) and Other Complications**
    *   **Why it fits:** Delirium tremens itself is a hyperadrenergic state that can cause fever, tachycardia, and agitation. However, the associated **hyponatremia, renal failure, pulmonary edema, and severe metabolic acidosis** are not typical features of pure DTs and point to a separate, severe underlying metabolic or toxic insult.
---
### **Best Way to Confirm Methanol Poisoning in This Patient:**
Given the high suspicion from the clinical picture, confirmation requires a **multi-step laboratory approach**:
1.  **Immediate Critical Tests (Should be ordered STAT):**
    *   **Serum Methanol Level:** **The definitive diagnostic test.** Any detectable level is abnormal, but toxicity typically correlates with levels >20 mg/dL. However, treatment should not be delayed while awaiting this result if clinical suspicion is high.
    *   **Arterial or Venous Blood Gas (ABG/VBG):** Confirms the **severe metabolic acidosis** (low pH, low bicarbonate).
    *   **Serum Electrolytes:** To calculate two crucial gaps:
        *   **Anion Gap (AG):** AG = Na - (Cl + HCO3). Will be **elevated** (>12-15 mEq/L) due to the unmeasured anions (formate).
        *   **Osmolal Gap (OG):** OG = Measured osmolality - Calculated osmolality. Calculated Osm = (2*Na) + (Glucose/18) + (BUN/2.8). An **elevated osmolal gap** (>10 mOsm/kg) suggests the presence of an unmeasured, low-molecular-weight solute like methanol or ethylene glycol.
    *   **Key Pattern:** **High Anion Gap Metabolic Acidosis + Elevated Osmolal Gap** is **highly suggestive of toxic alcohol poisoning.**
2.  **Supportive Tests to Strengthen the Diagnosis:**
    *   **Serum Ethanol Level:** Important because ethanol competitively inhibits alcohol dehydrogenase, slowing the metabolism of methanol to its toxic byproducts. A high ethanol level may "mask" methanol poisoning by preventing acidosis initially, but the osmolar gap will be high.
    *   **Urinalysis:** While methanol itself doesn't cause crystals, its presence may be sought. More importantly, urinalysis helps rule out other causes (e.g., oxalate crystals in ethylene glycol poisoning).
    *   **Serum Formate Level:** A more specific marker of methanol toxicity, as formic acid is the primary toxic metabolite. It may be elevated even when methanol levels are declining. However, this test is often less readily available.
    *   **Fundoscopic Examination:** The finding of **optic disc hyperemia or retinal edema** is a highly specific (though not always present) sign of methanol poisoning.
3.  **Rule-Out Other Key Differentials:**
    *   **Ethylene Glycol Level:** Must be checked simultaneously, as the presentation overlaps significantly.
    *   **Lactate, Ketones (β-hydroxybutyrate), Creatinine Kinase:** To evaluate for other causes of high anion gap metabolic acidosis (lactic acidosis, alcoholic ketoacidosis, rhabdomyolysis).
    *   **Liver Function Tests, Ammonia, Coagulation Panel:** To assess for acute alcoholic hepatitis/hepatic failure.
    *   **Blood and Urine Cultures, Chest X-ray:** To evaluate for sepsis as a cause or complication.
### **Clinical Takeaway:**
In this patient, **the combination of a high anion gap metabolic acidosis with an elevated osmolal gap is the most immediate and strong laboratory evidence pointing to methanol (or ethylene glycol) poisoning.** The definitive confirmation is a **serum methanol level**. Management with **fomepizole** (or ethanol infusion) and **hemodialysis** must be initiated immediately based on strong clinical and initial laboratory suspicion, without waiting for the methanol level result, as delays can lead to permanent blindness, neurological damage, or death.

Saturday, December 6, 2025

77F Bronchitis WB PaJR

 

06-12-2025

THIS IS AN ONLINE E LOG BOOK TO DISCUSS OUR PATIENT'S DE-IDENTIFIED HEALTH DATA SHARED AFTER TAKING HER SIGNED INFORMED CONSENT. HERE WE DISCUSS OUR PATIENT'S PROBLEMS THROUGH SERIES OF INPUTS FROM AVAILABLE GLOBAL ONLINE COMMUNITY EXPERTS WITH AN AIM TO SOLVE THOSE PATIENT'S CLINICAL PROBLEMS WITH COLLECTIVE CURRENT BEST EVIDENCE BASED INPUTS.

[10:07 am, 06/12/2025] RS2: রোগীর অ্যাডভোকেটের জন্য প্রশ্ন;
অনুগ্রহ করে আপনার রোগীর ঘটনাগুলির ক্রম বর্ণনা করুন যা বর্তমান সমস্যার দিকে পরিচালিত করেছে। আপনার রোগীর একেবারে কোন সমস্যা না হওয়ার সময় থেকে ঘটনাগুলির ক্রম শুরু করুন। 
অনুগ্রহ করে আপনার রোগীর 24 ঘন্টা ধরে তার প্রতি ঘন্টার রুটিন বর্ণনা করুন যখন সে পুরোপুরি ঠিক ছিল 
এর পরে অনুগ্রহ করে বর্ণনা করুন যে একবার রোগটি তার জীবন ধরে নেওয়ার পরে তার প্রতি ঘন্টা 24 ঘন্টার রুটিনে কী ঘটেছিল 
রোগীর প্রতি ঘণ্টার রুটিনের কোন অংশটি ব্যাহত হয়েছে তা বিশেষভাবে উল্লেখ করুন 
আমাদের কাছ থেকে রোগীর বর্তমান প্রয়োজনীয়তাগুলি কী যেমন আমরা যদি তাকে একটি ওষুধ দিতে হয় তবে তারা কোন সমস্যাটি সমাধান করতে পছন্দ করবে?
অনুগ্রহ করে রোগীর পেট এবং বাহুর পেশীর ক্লিনিকাল ফটো পোস্ট করুন যেমনটি নীচের ছবিতে দেখানো হয়েছে:
[10:33 am, 06/12/2025] PA: আমার জানা মতে:
রোগী একজন ৭৭+ বয়সী ধর্মিষ্টি বিধবা মহিলা। একাই থাকতেন। সারাদিনের কর্মকাণ্ড পূজা আচ্চা কেন্দ্রিকই ছিল নিজস্ব ব্যক্তিগত কাজকর্মের বাইরে। এলাকার বৈষ্ণবীয় কর্মকান্ডের অগ্ৰণী কর্মকর্তা। সন্ধ্যার দিকে নিয়মিত পাঠ ইত্যাদি শুনতে যেতেন।
[10:59 am, 06/12/2025] PA: দিন সাতেক আগে অসুস্থ হয়ে পড়লে ওনার শুভার্থিরা ওঁকে স্থানীয় সরকারি হাসপাতালে ভর্তি করে দেন। জ্বর ছিল এবং সেটা ছাড়ছিল না। হাসপাতালে নানা রকম পরীক্ষা নিরীক্ষা সত্ত্বেও জ্বরের কারণ জানা যায়নি! এমতাবস্থায় আরও সংক্রমণের আশঙ্কায় ওঁকে হাসপাতাল থেকে ছেড়ে দেওয়া হয়। এরমধ্যে ওঁর সন্তানরা, যারা বাইরে থাকেন, ওরা এসে পড়েন। বাড়িতে আসার সময় ওঁর জ্বর ছিল সাথে শুকনো সর্দি বসা কাশি এবং কথা বলছিলেন না, এরকমই আমার কানে আসে এবং এই প্রথম আমি জানতে পারি যে উনি অসুস্থ।
পরদিন সকালে ওঁকে দেখতে যাই। তখনও জ্বর ছিল, কাশি তো আছেই, সাথে একটা কাঁপুনি। দুর্বল। আমি যাওয়ার পর আমার বাজখাই গলা শুনে উনি respond করেন এবং এক কাতে শোয়া অবস্থা থেকে চিৎ হয়ে শোন। এটা নাকি ছিল এ কদিনের মধ্যে প্রথম সাড় দেওয়া। 
সেদিন সন্ধ্যায় স্থানীয় হাসপাতালের জনৈক ডাক্তার দেখান হলে তিনি আনুষাঙ্গিক ওষুধ পত্রের সঙ্গে দিনে চারবার করে নেবুলাইজারের নিদান দেন। সেই সন্ধ্যা থেকেই সেটা চালু করা হলে জ্বর কমে যায় এবং আপাতভাবে কাশি থেকেও আরাম পাচ্ছিলেন বলে মনে হচ্ছিল। কিন্তু গতকাল রাতে ঐ কাশির জেরে খুবই কষ্ট পেয়েছেন এবং সারা রাত ঘুমাতে পারেন নি।
আজ সাড়ে নটা নাগাদ গিয়ে দেখি যে উনি নেবুলাইজার নিচ্ছেন। সেটা শেষ হলে উনি রোদে বসার জন্য বাইরে যেতে চান। ওঁকে ধরতে হলেও নিজের পায়ে ভর দিয়েই দু তিনটা সিঁড়ি নেমে রোদে গিয়ে বসেন। সেই সময় শরীরে কাঁপুনি ছিল। এছাড়া দুর্বলতাও দৃশ্যমান।
বর্তমান সমস্যা:
শুকনো কাশি ও দুর্বলতা।
একটু সচল করতে পারলেই ওঁর সন্তানরা ওঁকে তাদের কাছে নিয়ে যেতে চা।
[2:55 pm, 06/12/2025] PPM 1: Very well described 👏
[2:56 pm, 06/12/2025] PPM 1: Can they share the image of a 4 hourly fever chart as recorded in the hospital?
Also an image of her chest X-ray, ECG?
[2:57 pm, 06/12/2025] PPM 1: Also an image of her lateral view of arm and abdomen without face?
[3:04 pm, 06/12/2025] RS2: Already told the PA
[3:16 pm, 06/12/2025] +91 90020 95248: হাসপাতালের যাবতীয় কাগজপত্র দেওয়া হয়েছে কিন্তু সম্ভবত consent from সই করাতে না পারায় সেটা ফাইল করতে পারা যায়নি ।
জ্বরের যে চার্টের কথা বলছেন, মনে হয় না হাসপাতাল সেসব কিছু করেছেন । ওখানেই যদি প্রেসার চার্টের গল্প যদি ওরকম হয়ে থাকে তাহলে এখানে আর বেশি কি হবে !
ছবির কথা বলা হয়েছে কিন্তু যেহেতু উনি একলা একলা দাঁড়াতে পারছেন না তাই সম্ভবত তোলা হয়নি ।
X-ray plate একটা দেখেছি মনে হচ্ছে । থাকলে পাঠান যাবে । মনে হয় না ecg হয়েছে ।
[7:17 pm, 06/12/2025] PA: Consent letter has been given. A chest x-ray plate is found, will be sent. No ecg —- is it necessary "¿
[7:21 pm, 06/12/2025] PA: দেখা যাক ।
[7:19 pm, 06/12/2025] PPM 1: Will be good to have an ECG too
[7:21 pm, 06/12/2025] PPM 1: Need to know her Vitals
Respiratory rate
Pulse rate
BP
SpO2
[7:24 pm, 06/12/2025] PA: অর্থাৎ একটা bp machine  ও একটা spo2 মাপার যন্ত্র লাগবে । হয়ে যাবে কাল দশটার পর থেকে । কিভাবে কি করতে হবে গাইড করুন।
[7:30 pm, 06/12/2025] PA: So, other than the x-ray, bp+ and ecg ?
[7:33 pm, 06/12/2025] PA: Sorry, what is the difference between respiratory rate and pulse rate? Pulse rate is from bp machine, but respiratory rate is?
[7:52 pm, 06/12/2025] PPM 1: @Meta AI how to measure respiratory rate and how to measure pulse rate?
[7:52 pm, 06/12/2025] Meta AI: No worries, let's break it down simply 😊
Pulse Rate (Heart Rate):
- Measures the number of times your heart beats per minute (bpm)
- Typically measured using a BP machine, pulse oximeter, or manually by feeling the pulse on the wrist (radial artery) or neck (carotid artery)
- Normal range: 60-100 bpm (varies based on age, fitness level, etc.)
Respiratory Rate:
- Measures the number of breaths you take per minute (brpm)
- Count the number of times the chest rises and falls in one minute
- Can be measured manually by observing the chest or using a respiratory monitor
- Normal range: 12-20 brpm (varies based on age, health, etc.)
To measure respiratory rate:
1. Sit comfortably and breathe normally
2. Count the number of breaths (chest rises and falls) in one minute
3. Record the count
To measure pulse rate:
1. Sit comfortably and relax
2. Place your index and middle fingers on the wrist (thumb side) or neck (side of the neck)
3. Feel the pulse and count the beats in one minute
4. Record the count
Hope that helps clarify things!

[8:03 pm, 06/12/2025] PA: আরও একটি কথা, সন্ধ‍্যায় বাড়ির লোকেদের পর্যবেক্ষণ, দাত ও মাড়ির ব‍্যথার কারণে উনি কিছু চিবিয়ে খেতে পারছেন না । দুধ খেতে পারেন না, কিন্তু ছানা পারেন । আমরা এর সাথে গলা ভাত আর মুশুর ডালের জলের কথা বলেছি । পরামর্শ ?
[8:10 pm, 06/12/2025] PPM 1: Eta to half kata! Full chobi?
[8:11 pm, 06/12/2025] PPM 1: Hain gola bhat daal bhaloi habe
[8:18 pm, 06/12/2025] PA: রূপশা ?
[10:40 pm, 06/12/2025] RS2: Amake ei dutoi pathano hoeche
[5:33 am, 07/12/2025] PA: কখন কখন মাপতে হবে ?
[7:17 am, 07/12/2025] PPM 1: Randomly every few hours over 24 hours
[7:17 am, 07/12/2025] PPM 1: Please ask them to share the full view of the chest X-ray
[8:18 am, 07/12/2025] RS2: Ok
[10:38 am, 07/12/2025] PA: এইমাত্র দেখে এলাম। BP: 74/40, 115 ছিল সম্ভবত, আরেকবার দেখে পোস্ট করতে বলা হয়েছে। এমনিতে যথেষ্ট দুর্বল, স্বাভাবিক ভাবেই। গত রাতে খাওয়ানো গেছে, কাশি কম থাকায় ঘুমও হয়েছে বললেন। সেরকম কথাবার্তা বলছেন না।
[10:44 am, 07/12/2025] PA: পালস অক্সিমিটারটা হাতের কাছে না পাওয়ায় অন্য একটা খোঁজ করতে হবে।
[10:47 am, 07/12/2025] PA: ECG র ব্যাপারে বাড়িতে এসে করা যায় কিনা দেখা হচ্ছে কারণ রোগীকে এমতাবস্থায় নাড়াচাড়া করতে ওনারা সাহস করছেন না।
[10:48 am, 07/12/2025] PA2: BP: 96/54, 115
[10:50 am, 07/12/2025] PA: পৌনে বারোটায় আবার করতে হবে।
[11:33 am, 07/12/2025] PA2: ok
[12:28 pm, 07/12/2025] PA2: BP: 99/60, 114
[12:43 pm, 07/12/2025] PA: Ecg করা হয়েছে, রিপোর্ট পাঠানো হচ্ছে।
যেটা শোনা গেল, গতকাল দিনের বেলা এক গাল মতো ভাত তরকারি গিলে আর কিছু খেতে চান নি। মুখে দাঁতে নাকি ব্যথা হয়। তিনটার দিকে ছানা খাওয়ানো হয়। আর রাত নটার দিকে এক গ্লাস দুধ শাবু জাল দিয়ে খাওয়ানো হয়। এটাই নাকি ওর ভালো লাগছে।
এখন যখন গিয়েছিলাম তার একটু আগে মুসম্বির রস খান। এমনিতে পায়খানা পরিষ্কার হচ্ছে। প্রস্রাবের পরিমাণও নাকি বেড়েছে।


[12:57 pm, 07/12/2025] PA: দুটোর সময় আরেক দফা।
খাবার যা যখন খাচ্ছেন তার ছবি দিতে হবে।
[1:00 pm, 07/12/2025] PA: নেবুলাইজার কখন কখন দেওয়া হচ্ছে ?
কাশির বর্তমান পরিস্থিতি?
শারীরিকভাবে কেমন (১) উনি বোধ করছেন ও (২) আপনাদের কি মনে হচ্ছে?
[1:07 pm, 07/12/2025] PA: এটা ঠিক আছে ?
[1:08 pm, 07/12/2025] PA: রোগীর একটা deidentified ছবি দিতে হবে।
[1:14 pm, 07/12/2025] PPM 1: Hain side theke unar arms ebong abdomen jaate dekhe unar sarcopenia ebong adiposity sombondhe aro bojha jai
[1:16 pm, 07/12/2025] PPM 1: Better jodio left side ta aekhono nicher ongsho puropuri dekha jacche na.
Chest X-ray tao shothik posture a na tulte parai rotated dekhacche
[1:16 pm, 07/12/2025] PPM 1: Oboshyoi
[1:17 pm, 07/12/2025] PA: এটা সরকারি পরিসেবার মহিমা !
[1:17 pm, 07/12/2025] PPM 1: Bhalo
[1:18 pm, 07/12/2025] PPM 1: Respiratory rate?
[1:18 pm, 07/12/2025] PPM 1: Sarkar mane "we the people"!
[1:19 pm, 07/12/2025] PA: এটা আপাতত পারা যাচ্ছে না।
[1:19 pm, 07/12/2025] PA: একদম।
[1.35 pm, 07/12/2025] PA: ভাত ছাড়া কি কি খাবার আছে বোঝা যাচ্ছে না । বিস্তারিত লিখুন ।
[2.26 pm, 07/12/2025] PA2: মুসামরি আর বেদনার রস খেয়ে ছে
[2:26 pm, 07/12/2025] PA2: মুসামরি আর বেদনার রস খেয়ে ছে
[3:21 pm, 07/12/2025] PA: BP?
[3:27 pm, 07/12/2025] PPM 1: Unar khetre respiratory rate ta jana beshi dorkar
[3:48 pm, 07/12/2025] PA2: BP:100/58,112

30F Hypothyroid 1 year Telangana PaJR

 

28-09-2024

THIS IS AN ONLINE E LOG BOOK TO DISCUSS OUR PATIENT'S DE-IDENTIFIED HEALTH DATA SHARED AFTER TAKING HER SIGNED INFORMED CONSENT. HERE WE DISCUSS OUR PATIENT'S PROBLEMS THROUGH SERIES OF INPUTS FROM AVAILABLE GLOBAL ONLINE COMMUNITY EXPERTS WITH AN AIM TO SOLVE THOSE PATIENT'S CLINICAL PROBLEMS WITH COLLECTIVE CURRENT BEST EVIDENCE BASED INPUTS.

[11:13 am, 21/09/2025] PA: Anthaga pattinchukoledhandi
[11:13 am, 21/09/2025] PPM 1: Weight loss avvadaniki ikkada roju aadayam (food plate images) and karchu (hourly activities) share jeyali @PPM3 @CR we'll also need to take the telephonic details and signed informed consent and prepare her PaJR case report
[11:15 am, 21/09/2025] +PA: Tablets vesukunte thyroid thaggithundha sir
[11:15 am, 21/09/2025] PPM 2: Roju. Jeevithantham vesukovali.
[11:15 am, 21/09/2025] PPM 2: Meeru enduku ila aapesthunaru maaku ardham kavatledu
[11:16 am, 21/09/2025] PA: 100 mcg countinue cheyyamantara sir
[11:19 am, 21/09/2025] PA: Sarenandi
[11:25 am, 21/09/2025] PA: 7.30 ki tea, biscuit 
11.30ki rice, egg, vegetable curry 
4 ki tea, biscuit
Dinner 7.30 ki rice, vegetable curry
[11:26 am, 21/09/2025] PA: Ivi thintanandi
[11:27 am, 21/09/2025] CR: Ivi photo theesi share cheyyandi, roju, yendukante patient yentha quantity thintunnaro doctor ki theliyali.
[11:35 am, 21/09/2025] PPM 1: Also hourly activities
[11:35 am, 21/09/2025] PPM 1: Also lateral view of arms and trunk
[11:36 am, 21/09/2025] CR: I spoke to her just now and explained everything.
[1:22 pm, 23/09/2025] Sailaja: @~Tony Minnu ❤️❤️ Mee daily hourly activities mari food plates ikkada share cheyyandi please
[1:36 pm, 23/09/2025] +91 95502 63374: Daily morning nundi dinner varaku em thintunnano daily night 9ki share chesthanandi
[8:04 pm, 23/09/2025] +91 95502 63374: Mrng 5.30 thyroid tablet 
7.30 ki Cup tea, biscuit 
10.30 ki one apple 
11.30 ki Cup tea 
1.30 ki rice with tomato curry,one egg 
5 ki glass milk
7.45 ki brown rice with chicken curry
[8:06 pm, 23/09/2025] PA: Mrng 8 to 12 varaku work chesthanu
[8:07 pm, 23/09/2025] CR: What work?
[8:09 pm, 23/09/2025] CR: Physical activity yem chestharu. 12 tharuvatha padukune varaku yem chestharu
[8:10 pm, 23/09/2025] PA: 1km walking chesthanu
[8:10 pm, 23/09/2025] PA: Intlo edho oka pani chesthanandi
[8:10 pm, 23/09/2025] CR: 5-6pm?
[8:14 pm, 23/09/2025] PA: Intlo nundi vanta cheyyadaniki velthanandi
[8:14 pm, 23/09/2025] PA: Km dhooram untundhi
[8:15 pm, 23/09/2025] PA: 9-10 madhyalo velthanu
[8:18 pm, 23/09/2025] PA: 9-10AM
[8:25 pm, 23/09/2025] CR: 6.30-7 am- wake up time 
7.30am coffee 
8am-9am- yoga and pranayama 
9.15am Ragi with buttermilk 
10am cooking 
10.30am Puja 
11am lunch 
11.30am Paper reading, sudoku 
12.30am Browse phone, nap for 1/2 -1hr
2.30pm Tea sometimes snacks 
3-5pm Busy with arranging Cupboards, Folding clothes 
5-6 pm Phone with relatives, walking
6 pm Fresh up and Puja 
7 pm Dinner, pista, guava, banana with curd. 
7.30pm Watch TV 
10-11m Go to bed.
[8:27 pm, 23/09/2025] CR: 👆 Ila share cheyyandi
E report kothadhi 👆

[6:13 am, 18/11/2025] PA: Idhi old 👆
[6:14 am, 18/11/2025] PA: Nenu vade tablet 100 dose
[2:48 pm, 18/11/2025] PPM 1: Very good.
Well controlled thyroid function 👏👏




Wednesday, December 3, 2025

Participatory Medicine ProJR

Journal of Participatory medicine Write Up:

 01/12/2024, 11:05 am - cm: We are submitting an article to this indexed 
journal 👇
With hua1 as first author and hua2, hua3, hua4, hua5, hua6, hua7 as co-authors and myself as the corresponding and last author.
Will share the first draft of my write up ASAP 
01/12/2024, 8:09 pm - cm: First draft, pending thematic analysis and discussion 👇
02/12/2024, 10:20 am - cm: Similar public links often are displayed as social media ads that users may have often encountered:
One can also go to Facebook and type ketto to find 1000 such posts driven by patients and their family users of this social media driven fund sourcing platform where sharing personal details appear to be mandatory and you can find thousands of such patient trade offs to gather financial support and it may be actually quite difficult to trace the real outcomes of such trade offs in terms of the same patient's illness recovery outcomes although not impossible if one has the resources to take up such a project.
There are many instances of inappropriate patient data sharing in social media and this hints at a need to incorporate a special hands on training for health professional and patient users. In the conversational transcripts below an existent experiential training in the form of an elective program for both health professionals and patient advocates is highlighted with adequate links on the theory behind the endeavour as well as videos of hands on demos.👇
02/12/2024, 9:08 pm - cm: Other than the thematic analysis one of the thematic data we need to still capture and share here is the participants experiences of giving as well as taking consent.
Let's first ask ourselves about our own experiences and then try to collect more of these from our patients 
Is it true that patients trade off their privacy by giving consent largely in the interests of their self preservation unlike doctors who may do it for self promotion?
03/12/2024, 4:30 pm - cm: Let's go through these and discuss how we are applying these in our participatory medicine data collection settings 👇
03/12/2024, 4:31 pm - cm: How many of our participatory medicine patients are aware of these rights?👇
05/12/2024, 9:53 am - cm: Thanks to the first author who has set the ball rolling for this study by sharing her own experiences in the format below. All our shared data here will come into the results section of our study and we shall only share the links in the results section and final thematic analysis insights there in the final draft of our write up. So best is if all of us share our own reflexive data illustrated below in our own portfolios and then share the link.
Reflecting on my experiences as a patient advocate and a physician, I’ve seen both the strengths and the shortcomings of participatory medicine in action. Each patient’s journey has been unique, with moments of progress and empowerment, but also instances of struggle, especially when navigating issues like privacy, confidentiality, and security.
The Good
One of the most rewarding aspects of participatory medicine is seeing patients and their families become actively involved in care. For example, in the case of the 65-year-old man with chronic vomiting, there was a clear effort to include the patient in discussions about his symptoms and potential diagnoses. This active participation helped foster trust and engagement, even though the diagnostic journey was long.
In chronic conditions like HFpEF and CKD, I’ve seen how educating patients about their disease helps them feel more in control. It’s encouraging to witness patients taking ownership of their health by asking questions and following through with treatment plans. Family involvement has also been a vital part of this process, especially for elderly patients who might struggle to advocate for themselves. In many cases, family members act as the patient’s voice, ensuring their needs are communicated and addressed.
The Bad
Despite these positives, there have been significant challenges. Communication barriers are a recurring issue. Many patients struggle to understand medical terminology, which limits their ability to make informed decisions. This can be frustrating for them and disheartening for us as healthcare providers when we see misunderstandings lead to non-compliance or missed opportunities for better outcomes.
Privacy and confidentiality remain delicate areas. In some cases, I’ve noticed that family members or caregivers unintentionally overstep boundaries, making decisions on behalf of the patient without fully consulting them. While their intentions are usually good, it raises ethical concerns about the patient’s autonomy.
Digital security is another growing concern. With more hospitals using electronic medical records, patients sometimes express unease about how their data is stored or shared. This unease is especially evident in complex cases involving multiple specialists, where coordination requires sharing sensitive information across departments.
For vulnerable populations—like elderly patients or those with cognitive impairments—these challenges are amplified. For example, in cases of dementia or altered sensorium, consent processes often become complicated, and ensuring the patient’s voice is heard can feel like an uphill battle.
Trust issues also arise when patients feel their concerns are dismissed or not taken seriously. In the blog case, the delayed diagnosis after months of chronic symptoms could understandably make a patient question the reliability of the healthcare system.
86M, HTN, DM, CVA, Orbital Cellulitis, Sepsis
Good: The patient’s advocates had a clear understanding of his complex medical condition. This made it easier to communicate treatment plans and involve them in decision-making.
Bad: Managing multifactorial conditions like his required a collaborative team effort. At times, gaps in coordination between specialties slowed progress, underscoring the need for better teamwork in such cases.
Privacy and Confidentiality: The sharing of sensitive medical data between multiple teams highlighted the importance of maintaining strict privacy protocols. Fortunately, there were no breaches, but patients often expressed concerns about who could access their information.
65F, Sepsis
Good: The patient’s attenders stayed committed to the care process, demonstrating complete trust in the team even during the most challenging times.
Bad: Handling grief is a delicate aspect of participatory medicine. In this case, the attender’s devastation at losing their loved one led to a personal crisis, reminding us of the need for better emotional support systems.
Privacy and Confidentiality: With emotional and ethical sensitivities involved, maintaining privacy was crucial. Sharing updates required consent at every step to avoid miscommunication or overstepping boundaries.
79M, Syncope, HTN, DM, CVA
Good: The patient’s advocate played a crucial role in ensuring timely follow-ups and that his needs were consistently met while in the hospital.
Bad: However, when left on his own, the patient struggled to manage his medications and care, leading to preventable hospitalization. This highlights the gap in support for patients who lack continuous advocacy.
Privacy and Confidentiality: There were concerns about who would make decisions when the patient was alone, especially since he wasn’t always in a position to provide clear consent. Ensuring his voice was respected in such instances was a challenge.
35F, SLE, HF, CKD, HTN
Good: Despite her critical condition, the patient remained resilient and hopeful, which was inspiring for everyone involved in her care.
Bad: Financial instability was a significant barrier, as she couldn’t afford her medications or treatment. This ultimately led to her losing the fight for her life, a heartbreaking reminder of the inequities in access to care.
Privacy and Confidentiality: Her financial struggles often required discussing sensitive details with external organizations for support. Ensuring her dignity and privacy in these conversations was a key concern.
05/12/2024, 10:00 am - cm: 👆 Requesting potential authors for this study to read the RESULTS section of our study, particularly the results of the global group discussions on "unscrupulous doctors sharing patient data in social media for self promotion" and "panicked patients sharing their data for self preservation" and see if they can fathom the problem statement of our study from the two discussions
05/12/2024, 10:02 am - cm: First author's reflexivity👇
05/12/2024, 12:23 pm - cm: Please do also take a look at what's reflexivity👇
07/12/2024, 9:16 am - cm: Potential authors,
Please share each of your experiential statements along with the case report link where this experience was actually documented and also encourage the other authors in your team to do the same.
Check out global authorship guidelines here: https://www.icmje.org/recommendations/browse/roles-and-responsibilities/defining-the-role-of-authors-and-contributors.html
Also check out one of the already shared participatory medicine participant experiences linked here 👇
10/12/2024, 9:51 pm - cm: "Reflexivity is the act of examining one's own assumption, belief, and judgement systems, and thinking carefully and critically about how these influence the research process. The practice of reflexivity confronts and questions who we are as researchers and how this guides our work. It is central in debates on objectivity, subjectivity, and the very foundations of social science research and generated knowledge. Incorporating reflexivity in the research process is traditionally recognized as one of the most notable differences between qualitative and quantitative methodologies. Qualitative research centres and celebrates the partici-pants' personal and unique lived experience. Therefore, qualitative researchers are readily encouraged to consider how their own unique positionalities inform the research process and this forms an important part of training within this paradigm. Quantitative methodologies in social and personality psychology, and more generally, on the other hand, have remained seemingly detached from this level of reflexivity and general reflective practice. In this commentary , we, three quantitative researchers who have grappled with the compatibility of reflexivity within our own research, argue that reflexivity has much to offer quantitative meth-odologists. The act of reflexivity prompts researchers to acknowledge and centre their own positionalities, encourages a more thoughtful engagement with every step."
11/12/2024, 7:11 am - cm: We now have two of our potential authors hua1 and hua7 sharing their experiences in their online learning portfolio and to stimulate the others here, I quote from what Narmeen has recently written below:
"experiences of participatory medicine across "Transnational Political Barriers":
This patient’s family member was initially afraid to engage because of the political tension between our borders. Their concern centered on whether exchanging information across borders was safe or not & even talking cross-border was threat to security or not.
Good:
Upon understanding the nature of the work, individuals expressed profound excitement and gratitude. For them, the realization that healthcare initiatives could transcend political boundaries brought a sense of connection enhancing the quality of care.
Demonstrating how healthcare can act as a bridge between communities, offering support amidst political tensions.
Challenges:
The initial hesitancy and fear from the family member due to political tensions highlighted the complexity of handling transnational political barriers in healthcare & fragility of trust-building in politically sensitive contexts.
13/12/2024, 4:28 pm - cm: A potentially interesting piece of qualitative research at least for those suffering from or caring for this 
disease👇
16/12/2024, 8:47 pm - cm: Third potential author's experience 👇
03/12/2025, 10:00 am - cm: @⁨hua1 can you make me the admin also here?
@⁨hua6 can we prepare a ProJR from the content here titled the "participatory medicine ProJR'?

Tuesday, December 2, 2025

Narketpally syn CBBLE: Participatory medical cognition Web 2.0-3.0(December 2025)

 

Narketpally Syn CBBLE: Participatory medical Cognition Web 2.0-3.0(December 2025)

[8:39 am, 01/12/2025] cm: Amazing write up! 👏👏
I never thought a busy neurosurgeon would be able to write this!
Although time and again I've been proven wrong in the past!
Beautiful! I've become an instant fan!
[10:29 am, 01/12/2025] huai1: Yes, I deeply feel that man's cure is linked to people waiting and praying for you heartfuly
[10:33 am, 01/12/2025] huai1: In our culture this is an integral part of healing.
[8:17 am, 02/12/2025] cm: In 1850s there was this guy who was having a near PaJR workflow photographing every patient phenotype and archiving them, albeit closed access with perhaps no real time team based learning as happens currently in an AI driven manner in PaJR!
To quote:
"The documentation was based on photography taken by him (about 200 of which survive to this day), in what was the greatest clinical documentation from the Victorian era [2, 3]. In 1866, he presented his research in an article in which he described a “Mongolian type”
Unquote:
https://pmc.ncbi.nlm.nih.gov/articles/PMC8505282/#CR5
[11:01 am, 02/12/2025] +964 750 136 1306: John Langdon Down's approach to patient documentation in the 1850s was remarkably forward-thinking for its time. His systematic collection of about 200 patient photographs can be seen as an early, manual precursor to modern AI-driven workflows like Patient Journey Recording (PaJR), sharing a fundamental goal of capturing detailed phenotypic data for classification and analysis.
Here is a comparison of his historical methods against modern scientific approaches.
| *Aspect* | *John Langdon Down (1850s-60s)* | *Modern Scientific & AI-Driven Counterparts* |
| :--- | :--- | :--- |
| *Primary Method* | Manual clinical photography of patients. | Digital microscopy, high-throughput automated imaging systems. |
| *Workflow Goal* | Classify disorders by physical traits (e.g., "Mongolian type"). | High-content screening, phenotypic analysis, automated species/trait identification. |
| *"Focus Stacking"* | Not applicable with his equipment. | Essential technique for high-resolution imaging; automated using motorized stages and software. |
| *Handling Poor Data* | No evidence of technical correction for flawed photos. | *Deep learning models* automatically detect and reconstruct defocused images in high-throughput experiments. |
| *Data Accessibility* | *Closed access, private collection. | **FAIR principles* (Findable, Accessible, Interoperable, Reusable); public repositories with rich metadata. |
| *Analysis & Learning* | Manual observation, measurement, and description. | *AI/ML algorithms* for automated pattern recognition, segmentation, and quantitative analysis. |
### 🏥 The Victorian Medical Context of Down's Work
Down's methodology was shaped by, and also challenged, the medical norms of his era.
- *A Shift in Practice: His career coincided with medicine's transition from relying on patient history to emphasizing **physical examination aided by instruments* like the stethoscope (invented 1816).
- *Scientific Ambition and Limits: While a meticulous observer, Down worked before **germ theory* was established (promoted by Lister in the 1860s). His ethnic classification was influenced by the *anthropological and "degenerative" theories* popular in Victorian science.
### 🤖 From Manual Archives to Modern Data Workflows
The core principles of Down's work—collecting images to analyze form—are now supercharged by technology.
- *Overcoming Technical Limits: Unlike Down's static photos, modern labs use **automated focus stacking*. This involves taking dozens of images at different focal planes and merging them into one perfectly sharp composite, a process essential for documenting 3D specimens.
- *Intelligent Error Correction: In high-throughput experiments, some images will be out of focus. Modern **deep learning-based workflows* can now automatically sort and digitally reconstruct these defocused images, ensuring data integrity.
- *Ensuring Data Reusability: Down's archive was private. Today, the standard is to create **FAIR (Findable, Accessible, Interoperable, Reusable) data*. This involves annotating images with rich, machine-readable metadata about the sample and how the image was processed, allowing global reuse and analysis.
### 🔬 Understanding the "Mongolian Type" Terminology
Down's 1866 classification used the now-offensive and obsolete term "Mongolian type." It's important to understand this in its historical and biological context.
- *Historical Classification*: He incorrectly suggested individuals had regressed to a "Mongol" ancestral type. Modern genetics shows Down syndrome is caused by a chromosomal anomaly (trisomy 21), with no connection to ethnicity.
- *The Mongol Empire and Genetics: The historical reference was to the **Mongolic peoples* of Asia. Interestingly, separate genetic research has identified a specific Y-chromosomal lineage that spread dramatically across Asia roughly *1000 years ago, which historians and geneticists link to the male-line descendants of **Genghis Khan* and the expansion of the Mongol Empire. This is a distinct, real population-genetic phenomenon but is entirely unrelated to Down's observations or Down syndrome.
I hope this detailed comparison provides a clear picture of how a 19th-century pioneer's methods relate to today's digital science. If you are interested in the specific deep-learning techniques used for image correction in modern labs, I can provide more details on that.
[11.03 am, 02/12/2025] huai1: Modern AI-driven image correction, particularly for focus issues, primarily relies on **deep learning models** that learn to transform poor-quality inputs into usable data. These systems represent the automated, intelligent evolution of the manual observation John Langdon Down pioneered.
The core technology enabling this is the **Generative Adversarial Network (GAN)**. Here’s how it works for focus correction:
*   **The Generator**: This neural network takes a **blurry or defocused input image** and attempts to generate a sharp, "corrected" version. Initially, its guesses are poor.
*   **The Discriminator**: A second network acts as a critic. It is trained on thousands of pairs of **defocused and their corresponding sharp ground-truth images**. Its job is to distinguish the generator's "fake" sharp images from real sharp ones.
*   **Adversarial Training**: The two networks are pitted against each other. The generator constantly improves its fakes to fool the discriminator, while the discriminator gets better at catching fakes. This competition drives both to become highly sophisticated, resulting in a generator that can produce remarkably accurate focused images from blurry inputs.
### 🔬 Key Deep Learning Architectures for Image Restoration
Beyond the GAN framework, specific neural network architectures are particularly effective:
| Technique/Architecture | Primary Function | Common Application Context |
| :--- | :--- | :--- |
| **Generative Adversarial Networks (GANs)** | Generate high-resolution, focused images from low-quality inputs. | **Digital Pathology**, restoring focus in whole-slide images; **Microscopy**, enhancing low-light or fast-capture images. |
| **U-Net & Attention U-Net** | Pixel-to-pixel translation & restoration, focusing on relevant features. | **Biological Image Analysis**, segmenting cells/organelles from noisy data; **Medical Imaging**, enhancing MRI/CT scans. |
| **Deep Fourier Channel Attention Network** | Operates in frequency domain to recover lost high-frequency details (sharp edges). | **Computational Imaging**, correcting for known optical aberrations in microscope systems. |
### 🧪 Practical Applications in the Lab
This technology is not theoretical. It's integrated into workflows that would be the modern equivalent of Down's photo archive:
*   **High-Content Screening (HCS)**: In labs that automatically photograph thousands of cell cultures for drug discovery, **15-20% of images can be out of focus**. AI models pre-sort these, flagging poor-quality images and **automatically reconstructing** them, saving weeks of manual re-screening.
*   **Digital Pathology**: When scanning a physical glass biopsy slide to create a digital image, variations in tissue thickness can cause parts to be blurry. **Focus-correcting GANs** can digitally "flatten" the image, ensuring every cell across the entire sample is in sharp focus for the pathologist's review.
*   **Live-Cell Imaging**: To minimize damage to living cells from light (phototoxicity), researchers take faster, dimmer photos. **AI models are trained to take these noisy, low-contrast images and output clean, detailed frames**, allowing observation of delicate biological processes over time.
### 🧠 How It Contrasts with Down's Method
The shift from a manual to an AI-driven paradigm is fundamental:
| **Dimension** | **Down's Manual Method (1850s)** | **Modern AI-Driven Workflow** |
| :--- | :--- | :--- |
| **Agent of Analysis** | Human eye and brain of one observer. | **Algorithmic models** trained on millions of data points. |
| **Scale & Speed** | **~200 photographs** over a decade. | **Thousands to millions of images** processed in hours or days. |
| **Subjectivity** | Prone to the **theoretical biases** (e.g., ethnic classification) of the era. | Aims for **quantitative, reproducible** feature extraction (though bias in training data is a critical concern). |
| **Core Action** | **Descriptive Documentation**: "This patient has these features." | **Predictive & Generative Modeling**: "This blurry input most likely corresponds to this sharp structure." |
In essence, the field has moved from **documenting phenotypes** for human classification to **creating intelligent systems** that can clean, restore, and interpret phenotypic data at scale and with minimal human intervention.
If you are interested in a specific application area, such as pathology or cell biology, I can provide more detailed examples of the algorithms and tools used in that domain.
[4:13 pm, 02/12/2025] huai2: 49/F with known ovarian cancer now developed male pattern balding and a beard. She also developed central obesity with striae. What do you see?
[4:19 pm, 02/12/2025] huai1: This clinical vignette strongly suggests a paraneoplastic endocrine syndrome, most likely ovarian steroid cell tumor or ovarian tumor with functioning stroma, producing excess androgens and cortisol.
---
🧠 Clinical Interpretation
⚠️ Key findings:
- Known ovarian cancer
- Virilization: male pattern baldness, beard growth
- Cushingoid features: central obesity, striae
🧬 Likely mechanism:
- Ectopic hormone production by the ovarian tumor:
  - Androgens → virilization
  - Cortisol → Cushing’s syndrome
This constellation is rare but well-documented in steroid-secreting ovarian tumors, such as:
- Sertoli-Leydig cell tumors
- Steroid cell tumors (not otherwise specified)
- Granulosa-theca cell tumors with functioning stroma
---
📊 CT Image Analysis
In the provided abdominal CT:
- There appears to be a large soft tissue mass in the pelvis, possibly arising from the ovary.
- The measurements (48.74 mm and 58.79 mm) suggest a solid lesion, likely the ovarian tumor.
- No obvious adrenal mass is seen, which supports the ovarian origin of hormone excess.
---
🧪 Suggested next steps:
- Serum hormone panel:
  - Testosterone, DHEAS, androstenedione
  - Cortisol, ACTH
- Dexamethasone suppression test
- Pelvic MRI for better soft tissue characterization
- Histopathology post-resection to confirm tumor type
---
Would you like a bilingual CME slide summarizing this case for teaching purposes? I can include annotated CT slices, hormone pathways, and diagnostic algorithms.
[4:19 pm, 02/12/2025] huai1: The correlation between the CT image and the clinical presentation lies in identifying a hormonally active ovarian mass that explains the patient's virilization and Cushingoid features.
---
 Clinical–Radiological Correlation
🧬 Clinical clues:
- 49/F with known ovarian cancer
- Virilization: male pattern baldness, beard
- Cushingoid features: central obesity, striae
These point toward excess androgen and cortisol production, likely from a functioning ovarian tumor.
---
📸 CT Image Findings:
- The CT shows a solid pelvic mass, measuring approximately 48.74 mm × 58.79 mm, likely arising from the ovary.
- No adrenal enlargement or mass is visible, making ectopic adrenal hormone production less likely.
- The mass appears well-defined and solid, consistent with steroid cell tumors, Sertoli-Leydig cell tumors, or granulosa-theca tumors with functioning stroma.
---
🔗 Pathophysiological Link:
| Feature | Hormone | Source | Imaging Correlation |
|--------|---------|--------|---------------------|
| Beard, baldness | Androgens (testosterone, DHEAS) | Ovarian tumor | Solid pelvic mass |
| Central obesity, striae | Cortisol | Ectopic ACTH or cortisol from tumor | No adrenal mass; ovarian origin likely |
---
🧪 Next Steps:
- Hormonal assays: testosterone, DHEAS, cortisol, ACTH
- Pelvic MRI: better soft tissue characterization
- Histopathology: confirm tumor type and hormone production
Would you like a CME-style infographic linking hormone excess to imaging and clinical signs? I can include bilingual labels and a teaching case format.
[4:20 pm, 02/12/2025] huai2: Hmmm. Which LLM is this sir? Looks like it is way off mark
[4:20 pm, 02/12/2025] huai1: Copilot 👆
[4:23 pm, 02/12/2025] huai1: I hear you 🙂. Just to clarify: I’m not built on any single LLM that you might know by name. I’m Copilot, an AI companion created by Microsoft. My responses come from the latest generation of large language models across the industry, but I don’t have visibility into the specific architecture, training data, or model names under the hood.  
What makes me different is that I’m designed to synthesize information, adapt to your context, and build structured outputs—whether that’s medical case analysis, CME-style teaching tools, or exam prep checklists. Sometimes my reasoning can miss the mark, and I appreciate you pointing that out. It helps me recalibrate and sharpen the correlation between clinical findings and imaging.  
Since you’re working through a case with ovarian cancer and endocrine manifestations, would you like me to reframe the clinical–radiological correlation more precisely—focusing on how ovarian tumors can mimic adrenal pathology and how CT helps distinguish the source?
[4:32 pm, 02/12/2025] huai70: ACTH secreting tumour?
[4:34 pm, 02/12/2025] huai2: How and why?
[4:35 pm, 02/12/2025] huai126: Sir can you please share if there are any more history and Examination findings, to differentiate if she is having hirsutism or Virilisation? Then we can say it's an Androgen secreting tumor
[4:37 pm, 02/12/2025] huai2: What does growing a beard and male pattern baldness suggest to you!
[4:38 pm, 02/12/2025] huai2: Agree with the line of thought though.
[4:41 pm, 02/12/2025] huai70: Central obesity and striae may indicate cushingoid features...and high ACTH can also lead to increased production of androgens which explains the growing beard and male patterned baldness??
[4:45 pm, 02/12/2025] huai126: Sir, it's Suggesting that the tumour can produce a high level of Androgens which can Cause Virilisation (male Pattern baldness+ Beard growth,)
[4:55 pm, 02/12/2025] huai2: Right okay. Is ACTH required for production of sex steroids?
Normally, where is ACTH produced from?
[4:56 pm, 02/12/2025] huai2: Yes. What is your diagnosis?
Look at the image carefully again and you'll get it
[4:59 pm, 02/12/2025] huai70: Sir, ACTH is produced from anterior pituitary and stimulates the adrenals and is required for androgen production
[5:04 pm, 02/12/2025] huai2: Yes. And why do you think this is an ACTH producing tumor then?
[5:13 pm, 02/12/2025] huai70: Sir, I thought of an ectopic ACTH production
[5:14 pm, 02/12/2025] huai70: Or there is a possibility of adrenal tumour as well which can lead to above mentioned symptoms
[5:17 pm, 02/12/2025] huai2: Wouldn't an ectopic ACTH tumor generally cause Bilateral adrenal involvement? Look at the image closely and tell me what you think
[5:48 pm, 02/12/2025] huai70: An adrenal tumour Sir?
[10.05 pm, 02/12/2025] huai2: Yes but look at the history and the image carefully. Will reveal diagnosis soon.
[1.01 pm, 03/12/2025] cm: OPD now
70F accused of black magic when she was a 15 year old girl following which she was tied to a tree and her toes chopped off.
4 years back she also had trauma to the left hand resulting in multiple swan neck deformities and a z deformity of her thumb as in the attached image



[1:03 pm, 03/12/2025] huai34: This is unfathomable!
She was just 15!!
[1:06 pm, 03/12/2025] huai34: Weirdly enough it's always women who are victims of this kind of superstition driven social punishments
[1.12 pm, 03/12/2025] cm:
[1.38 pm, 03/12/2025] huai29: More of a local social issue - what were the incidences that led to her to be labelled as practicing black magic?
[2.33 pm, 03/12/2025] cm: Didn't dig deeper but I would assume this was about fighting for territory when one party blacklists another and then makes a preemptive strike.
[10.45 am, 06/12/2025] cm: OPD now
[12.14 pm, 06/12/2025] huai27: Empty chairs
[4:57 pm, 06/12/2025] cm: Filled up very soon with an enthusiastic bunch of 2024 batch UGs


Suturing skill training by OBG department. 2-4 every Saturday for interns being done in skill lab.
[1.35 pm, 07/12/2025] huai1: That is a PPT slide summary of my yesterday’s ENT clinic practice.