Evidence map›Paper›PMID 42466419›Full record

ArticleResearch square2026

Seven routine blood markers predict five-year mortality in older Indians: a risk score from the LASI-DAD cohort.

Bhrigu Jain, Sharmistha Dey, Aparajit Dey

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Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Bhrigu JainAll India Institute of Medical Sciences.
Sharmistha DeyAll India Institute of Medical Sciences.
Aparajit DeyArtemis Hospitals.

Funding

Leveraging a natural experiment to estimate the causal impact of blood sugar on dementia and cognition in IndiaR01AG051125 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Jinkook Lee · 2015 to 2026
$26.8M
Modifiable Protective and Risk Factors of Late-Life Cognitive Health and DementiaRF1AG055273 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LANGA, KENNETH M, LEE, JINKOOK · 2017 to 2017
$4.0M
NIA NIH HHS R01 AG051125NIA NIH HHS RF1 AG055273
6 · The paper itself

Abstract

Background: Validated, blood-based tools to estimate short-to-medium-term mortality in older adults are derived almost entirely from European-ancestry or East Asian populations and transport poorly to South Asians, who present a distinct cardiometabolic and body-composition phenotype. No mortality risk score using routine blood markers exists for community-dwelling older Indians. Methods: We used Wave-1 data from the Longitudinal Aging Study in India - Diagnostic Assessment of Dementia (LASI-DAD), a nationally representative cohort of adults aged ≥ 60 years with venous biomarker phenotyping. Vital status was ascertained through an End-of-Life informant module to Wave 2. From the available venous panel, we pre-selected seven markers on biological grounds - N-terminal pro-B-type natriuretic peptide (NT-proBNP), serum albumin, cystatin C, high-sensitivity C-reactive protein (hs-CRP), the neutrophil-to-lymphocyte ratio (NLR), glycated haemoglobin (HbA1c) and alanine aminotransferase (ALT) - and fitted a Cox proportional-hazards model with age and sex. Discrimination (Harrell's C), bootstrap optimism correction, calibration at three years, and risk-tertile stratification were assessed; decision-curve analysis quantified clinical utility. Results: Among 2144 participants (540 deaths over a median 4.4 years of survivor follow-up; 25% mortality), the seven-marker score plus age and sex achieved an apparent C of 0.74 (optimism-corrected 0.74), versus 0.68 for age and sex alone (Δ ≈ 0.06); the blood panel alone reached C 0.72. NT-proBNP (hazard ratio [HR] per 1 SD 1.31), HbA1c (1.24) and albumin (0.81) carried most of the signal, with smaller contributions from cystatin C, ALT, NLR and hs-CRP. Calibration was excellent at three years. Participants in the highest score tertile had 8.7-fold the mortality hazard of the lowest (95% CI 6.5-11.6; log-rank p < 0.001), with three-year mortality of 34% versus 6%. The score provided positive net benefit across clinically relevant decision thresholds. In sensitivity analyses, all associations persisted after adjustment for comorbidity, cognition and function, and the panel out-performed a clinical-plus-cognitive model. Conclusions: A seven-marker panel obtainable from a single venous sample, combined with age and sex, stratifies five-year mortality in older Indians with good discrimination and calibration. Pending external validation, it offers a clinically translatable, population-specific tool for prognostic risk stratification in a large and under-studied population. Trial registration: Not applicable (observational cohort analysis).

Indexed as

BiomarkersFrailtyIndiaLASI-DADMortalityOlder adultsReverse epidemiologyRisk prediction

Identifiers

PMID42466419
PMCPMC13370638

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.