ADA 2026 Day 2 — 20 Best CME India Pearls
1️⃣ Obesity is now firmly positioned as a chronic disease, not merely a BMI number. ADA 2026 emphasizes screening, staging, complications, psychosocial context, social determinants, and long-term individualized therapy.
2️⃣ For Indian/Asian patients, BMI alone is not enough. Lower ethnicity-specific BMI cut-offs should be combined with waist circumference or waist-to-height ratio for better obesity-risk identification.
3️⃣ The 6A framework is practical for OPD obesity care: Ask permission, Assess risk, Advise, Agree on goals, Assist with plan, and Arrange follow-up.
4️⃣ GLP-1 RA and dual GIP/GLP-1 RA are now central obesity therapies in patients with cardiometabolic comorbidities because they address weight, glycemia, BP, lipids, and CV risk factors together.
5️⃣ Weight-loss targets should be complication-driven. A 5% weight loss is clinically meaningful, but 10–15% or more may be needed for T2D, MASH, HFpEF, OSA, and osteoarthritis improvement.
6️⃣ Dapagliflozin evidence in HFmrEF/HFpEF looks strong even in real-world emulation. In matched adults with HFmrEF/HFpEF and T2D, dapagliflozin showed a 24% lower rate of all-cause mortality or HF hospitalization versus sitagliptin.
7️⃣ Real-world data can complement RCTs when designed rigorously. The DELIVER trial emulation reproduced directionally consistent results, supporting fit-for-use observational data in HF–diabetes decision-making.
8️⃣ Beware of overdiagnosing prediabetes using conventional GMI. HbA1c–GMI discordance was common at lower glucose ranges; updated GMI aligned better with HbA1c and time above 140 mg/dL.
9️⃣ CGM-derived prediabetes labels need caution. In normoglycemia, only 19% had conventional GMI below 5.7%, whereas 63% had updated GMI below 5.7%, showing conventional GMI may inflate prediabetes classification.
🔟 Ramadan fasting: regimen simplicity matters. In insulin/SU-treated T2D, basal insulin alone or SU alone performed better than MDI or basal insulin plus SU for CGM targets during Ramadan.
1️⃣1️⃣ MDI during Ramadan carried the poorest CGM profile. Time in range was lowest and glycemia risk index highest in the MDI group, with more diabetes-related ER visits than simpler regimens.
1️⃣2️⃣ Metformin may have a cognition signal beyond glycemia. In DPPOS, long-term metformin exposure was associated with 59–62% lower odds of dementia versus placebo and about 60% lower odds versus intensive lifestyle intervention.
1️⃣3️⃣ Do not overstate the metformin–dementia finding yet. The signal is promising, but the study itself notes that longer follow-up and more dementia cases are needed for confirmation.
1️⃣4️⃣ Time in Range is becoming a CKM-risk marker. In older adults with T2D, lower TIR was independently and linearly associated with advanced cardiovascular–kidney–metabolic syndrome.
1️⃣5️⃣ For older T2D with CKM risk, TIR >70% may be a better target than 50%. Even TIR 50–70% carried elevated odds of advanced CKM syndrome compared with >70%.
1️⃣6️⃣ SGLT2 inhibitor persistence matters. Longer therapy duration was associated with progressively lower MACE and HF hospitalization risk over 5 years.
1️⃣7️⃣ The cardioprotection curve strengthens with time on SGLT2i. Compared with <1 year, ≥3 years of SGLT2i use showed lower MACE risk and lower HF hospitalization risk.
1️⃣8️⃣ Stopping SGLT2i unnecessarily may lose long-term CV–renal benefit. ADA Day 2 reinforces persistence, adherence, and affordability planning as part of evidence-based cardiometabolic care.
1️⃣9️⃣ AI prediction for T2D is moving toward real-world prevention. An EHR-based model in more than 3 million adults achieved excellent 1-year discrimination, with AUC around 0.88.
2️⃣0️⃣ The future OPD diabetes model is prevention plus precision. CGM metrics, CKM staging, AI prediction, SGLT2i persistence, incretin-based obesity care, and distress screening are converging into a more holistic diabetes clinic.