Evidence map›Paper›PMID 42799056›Full record

ArticleThe Lancet regional health. Southeast Asia2026

Time to diagnosis of acute kidney injury and its predictors among outborn neonates in India: a competing-risk analysis of tele-ICU network data (2022-2024).

Sitarah Mathias, Ryan Brewster, Eva Robinson, Carl Britto, Michael Monuteaux, Prashantha Yn, Dileep Unnikrishnan, Geetanjali Srivastava, Ankana Daga, Lakshmi Ganapathi

Abstract read
In one paragraph

Article in The Lancet regional health. Southeast Asia, 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

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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

10 authors.

Sitarah MathiasDivision of Newborn Medicine, Department of Pediatrics & Margaret C. Ryan Global Health Program, Boston Children's Hospital, Boston, USA.
Ryan BrewsterDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Lucille Packard Children's Hospital, Palo Alto, USA.
Eva RobinsonBiostatistics and Research Design Center, Boston Children's Hospital, Boston, USA.
Carl BrittoHarvard Medical School, Boston, USA.
Michael MonuteauxBiostatistics and Research Design Center, Boston Children's Hospital, Boston, USA.
Prashantha YnDepartment of Pediatrics, Bangalore Baptist Hospital, Bangalore, India.
Dileep UnnikrishnanCloudphysician Pvt Ltd, Bangalore, India.
Geetanjali SrivastavaNeocare Pvt Ltd & City Hospital, Lucknow, India.
Ankana DagaHarvard Medical School, Boston, USA.
Lakshmi GanapathiHarvard Medical School, Boston, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is limited data on neonatal acute kidney injury (AKI) from resource-constrained settings. In this study, we describe time to AKI diagnosis and its predictors among neonates born outside the treating hospital (outborn) in India, accounting for competing events like death and discharge against medical advice (DAMA). Methods: This multicentre retrospective study leveraged data from a tele-NICU network across 27 sites in India from May 2022-June 2024. It included neonates 28 days or younger at admission with two or more serum creatinine values measured within a seven-day span, beginning after 48 h of life. AKI was determined using neonatal modified Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Primary outcome was time-to-AKI diagnosis. Cumulative incidence function was used to estimate AKI risk over time and Cox proportional hazards model was used to identify predictors amid competing events. Secondary outcomes like death, DAMA and length of hospitalisation were described. Findings: Among 570 neonates, sex was recorded for 506; of these, 411 (81.2%) were male and 95 (18.8%) were female. The mean gestational age was 35.4 weeks (SD 3.1; range 24.3-42.7 weeks). Median post-natal age at admission was 2 days (IQR 1-5). AKI occurred in 170 (29.8%) neonates. Median time-to-AKI diagnosis was 2 days (IQR 1-5) post-admission; five-day cumulative incidence was 0.23 (95% CI: 0.20-0.27). Significant predictors of early AKI included dehydration (HR 3.63, 95% CI: 1.67-7.92), mechanical ventilation (HR 1.84, 95% CI: 1.32-2.56) and vasopressor use (HR 1.33, 95% CI: 1.05-1.69). AKI was associated with higher DAMA (34.7% vs. 25.2%, p = 0.02) and Death (13.5% vs. 5.3%, p < 0.01). Interpretation: Outborn neonates have rapid time-to-AKI diagnosis post-admission, highlighting a critical high-risk window for kidney-protective interventions. Policy changes to strengthen medical transport and referral systems may additionally reduce AKI risk among outborn neonates. Funding: Fred Lovejoy Resident Research and Education Award (Boston Children's Hospital).

Indexed as

Acute kidney injuryDischarge against medical advice (DAMA)IndiaLow- and middle-income country (LMIC)Neonatal AKIOutborn neonates

Identifiers

PMID42799056
PMCPMC13613514

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