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IM14.1-14 | Obesity — PBL Case

CLINICAL SETTING

Dr Kavitha is the senior resident running the General Medicine OPD at a tertiary teaching hospital in Hyderabad. It is a Wednesday morning and the clinic is busy. Arjun Reddy, a 34-year-old software engineer, has arrived without an appointment, referred urgently by the company's occupational health physician. His referral note reads: 'Found to have BP 156/98 mmHg and fasting glucose 132 mg/dL at our annual employee health check. Please assess — he has no prior medical records.' Arjun appears visibly anxious. He is 5 feet 7 inches tall (170 cm) and weighs 92 kg. He is dressed in formal work clothes, his shirt collar appears tight, and he mentions: 'I had no idea anything was wrong. I thought I was just a bit out of shape.' A final-year MBBS student, Priya, who is attached to Dr Kavitha's clinic, opens her case notebook.

Trigger 1: The First Assessment — More Than 'A Bit Out of Shape'

Dr Kavitha asks Priya to take a preliminary history while she finishes with the previous patient. Arjun describes his lifestyle: he works a 10–12 hour desk job, eats two meals a day (skips breakfast, large lunch from the office canteen, large dinner after 10 PM), drinks 3–4 cans of cola or 'energy drinks' daily, and has not exercised regularly since college. He used to weigh 68 kg at 22 years of age — he has gained 24 kg over 12 years. He takes no regular medications. Family history: his father had a 'heart attack' at 52 and his mother has type 2 diabetes. When Priya calculates his BMI (92 kg ÷ 1.70² = 31.8 kg/m²) she initially thinks 'overweight by Western standards.' Dr Kavitha enters, reviews Priya's notes, and says: 'Priya, you've used the wrong cut-offs for this patient. What should his BMI classification be?'

DISCUSSION POINTS

  • What are the Asian-Indian BMI thresholds for overweight and obesity, and how does Arjun's BMI of 31.8 kg/m² classify under them? Why do South Asians require lower cut-offs than Western populations?
  • What information in Arjun's dietary and lifestyle history represents the most important modifiable risk factors for his weight gain? Which environmental determinants of obesity can you identify in his case?
  • His family history includes paternal premature coronary artery disease and maternal type 2 diabetes. How does this family history alter your assessment of his risk profile?
Click to reveal Trigger 2: The Examination — Reading the Body (discuss previous trigger first!)

Trigger 2: The Examination — Reading the Body

Dr Kavitha conducts the examination. She asks Priya to measure the waist circumference: the first attempt gives 103 cm (Priya measured at the umbilicus). Dr Kavitha corrects the technique: 'Mid-point between lowest rib and iliac crest, end of normal expiration.' The corrected measurement is 99 cm. Repeat BP with an appropriate large cuff is 148/94 mmHg (original 156/98 was taken with a standard cuff). Skin examination reveals velvety, hyperpigmented plaques at the nape of the neck and in the axillae. The thyroid is not palpable; no striae are present; no periorbital puffiness. Priya notes Arjun has a 'rounded face' but no buffalo hump and no proximal weakness. Dr Kavitha turns to Priya: 'What does the skin finding tell you, and do we need to screen for Cushing syndrome?'

DISCUSSION POINTS

  • What is acanthosis nigricans, what metabolic condition does it signal, and what is its pathophysiology in the context of obesity?
  • Why did the BP fall from 156/98 to 148/94 mmHg when the cuff was changed? What is the clinical implication of cuff-size error in obese patients, and what is the correct cuff selection rule?
  • Arjun has a rounded face but no buffalo hump, no striae, no proximal weakness, and no hypokalaemia. Does he need a dexamethasone suppression test? How do you differentiate simple obesity from Cushing syndrome clinically?
Click to reveal Trigger 3: The Investigation Results — Connecting the Dots (discuss previous trigger first!)

Trigger 3: The Investigation Results — Connecting the Dots

Dr Kavitha orders a metabolic panel. Results return the next day: fasting blood glucose 128 mg/dL, HbA1c 7.2%, fasting triglycerides 242 mg/dL, HDL cholesterol 34 mg/dL, LDL 148 mg/dL, serum TSH 2.1 mIU/L (normal), ALT 68 IU/L (reference <40), AST 52 IU/L. Liver ultrasound shows a 'bright echogenic liver consistent with fatty infiltration.' Priya reviews the IDF metabolic syndrome criteria and counts: central obesity (waist 99 cm ≥90), raised triglycerides (242 ≥150), low HDL (34 <40), raised BP (148/94 ≥130/85), raised fasting glucose (128 ≥100). Dr Kavitha asks Priya: 'How many IDF criteria are met, and what do the liver results mean for his long-term prognosis?'

DISCUSSION POINTS

  • Apply IDF 2005 criteria for metabolic syndrome to Arjun's results. How many criteria does he meet? What is the significance of diagnosing metabolic syndrome beyond the individual abnormalities?
  • Arjun's HbA1c is 7.2%. Does this meet the diagnostic threshold for type 2 diabetes? What are the diagnostic criteria for diabetes (state all 4), and how do you counsel a patient who has just received a new diagnosis of T2DM in the context of obesity?
  • What does the combination of raised ALT/AST and a bright liver on ultrasound suggest? What is MASLD (formerly NAFLD), how is its severity stratified, and what is the single most effective treatment?
Click to reveal Trigger 4: The Management Discussion — What Happens Next? (discuss previous trigger first!)

Trigger 4: The Management Discussion — What Happens Next?

Dr Kavitha and Priya sit with Arjun to discuss the findings. Arjun is shocked: 'I have diabetes? But I'm only 34.' He becomes tearful: 'I have tried to eat less many times. I always fail. I can't do this.' Dr Kavitha demonstrates the non-judgemental counselling approach: she validates Arjun's feelings, explains that his brain is biologically programmed to seek calorie-dense food and that the work environment and canteen food make healthy choices hard — not a failure of character. She uses the 5As framework to agree on personalised goals. She then discusses the management ladder with Priya: 'What is the stepwise plan for Arjun — lifestyle, pharmacotherapy threshold, and what about bariatric surgery?'

DISCUSSION POINTS

  • What is the 5As framework for obesity counselling? Apply it to Arjun's case: what would you Ask, Assess, Advise, Agree upon, and Assist with? How does non-judgemental counselling differ from directive advice?
  • Arjun's BMI is 31.8 kg/m² with type 2 diabetes and metabolic syndrome. Does he meet the Asian-Indian threshold for pharmacotherapy? Which class of agent would you prefer and why?
  • Arjun asks about 'the operation for weight loss.' Using Asian-Indian bariatric thresholds, does he currently qualify for bariatric surgery? If not, what would change his eligibility? What can bariatric surgery achieve for his type 2 diabetes specifically?

Group Task Assignments

  • Calculate Arjun's 10-year cardiovascular risk using available data. Identify which of his current findings contribute most to cardiovascular risk, and propose a comprehensive cardiometabolic risk reduction plan that addresses obesity, diabetes, dyslipidaemia, and hypertension simultaneously.
  • Design a realistic 3-month lifestyle modification programme for Arjun, accounting for his actual constraints (10–12 hour desk job, late dinner, canteen dependence, no exercise habit). Specify: caloric deficit target, meal composition changes compatible with his schedule, physical activity prescription (type, frequency, duration, intensity), and behavioural strategies (food diary, sleep hygiene, liquid calorie reduction). Include one specific goal Arjun agrees to rather than one the clinician imposes.
  • Debate: 'GLP-1 receptor agonists should be the first-line pharmacotherapy for obesity with type 2 diabetes in India.' Assign one group to argue in favour (efficacy data, cardiovascular outcomes, glycaemic benefit) and one against (cost, injection route, access in primary care, sustainability after stopping). Summarise the clinical evidence for both sides.
  • Construct an obesity prevention programme for Arjun's IT company. Include primary prevention (all employees), secondary prevention (employees with BMI ≥23), and tertiary prevention (employees with obesity-related complications). Specify structural measures (canteen policy, workplace design, health screening protocol) as well as individual interventions.

Learning Issues

Research these questions and bring your findings to the discussion.

  1. [IM14.1] What are the Asian-Indian BMI thresholds for overweight and obesity, why are they lower than Western thresholds, and what is the correct technique for measuring waist circumference in clinical practice?
  2. [IM14.5] What are the IDF criteria for metabolic syndrome in Asian Indians, and what are the major long-term complications of untreated obesity (cardiovascular, hepatic, endocrine, musculoskeletal)?
  3. [IM14.9] What is MASLD (metabolic dysfunction-associated steatotic liver disease, formerly NAFLD), how is its severity staged, and what does raised ALT with echogenic liver on ultrasound indicate in an obese patient?
  4. [IM14.11] What is the 5As framework for obesity counselling, and how does a clinician respond non-judgementally when a patient expresses shame or hopelessness about weight loss?
  5. [IM14.13] What are the Asian-Indian BMI thresholds for initiating pharmacotherapy and bariatric surgery referral, and what are the indications, mechanism of action, and side effects of GLP-1 receptor agonists in obesity management?
  6. [IM14.10] How do you clinically differentiate simple obesity from Cushing syndrome, and what is the appropriate first-line investigation when Cushing syndrome is suspected?