Evidence map›Paper›PMID 21152901›Full record

ArticleIntensive care medicine2011

Sepsis as a cause and consequence of acute kidney injury: Program to Improve Care in Acute Renal Disease.

Ravindra L Mehta, Josée Bouchard, Sharon B Soroko, T Alp Ikizler, Emil P Paganini, Glenn M Chertow, Jonathan Himmelfarb, Program to Improve Care in Acute Renal Disease (PICARD) Study Group

Registry-linked trialOpen access · hybridAbstract readComparative StudyMulticenter Study
In one paragraph

Article in Intensive care medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03877081 (Effect of Probiotics and Prebiotics in Renal Function in Septic Acute Kidney Injury Patients, Randomized Control Trial), which is not on this map. Cited by 160 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
160citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03877081 phase3unknown statusnot on this mapstarted 2019, after this paper: background citation

Effect of Probiotics and Prebiotics in Renal Function in Septic Acute Kidney Injury Patients, Randomized Control Trial

TypeinterventionalSponsorHospital Civil de GuadalajaraRan2019 to 2023Enrolled90ConditionsAcute Kidney Injury, Probiotics, SepsisArmsProbiotics, Placebo
3 · Its place in the literature

Who cites it

160 citing papers in PubMed, 2 syntheses or guidelines pooled it, 320 citations in OpenAlex.

  1. Pooled it
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  3. Acute kidney injury and subsequent risk of late-onset infection among extremely low gestational age newborns.Journal of perinatology : official journal of the California Perinatal Association · 2025
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100 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Ravindra L MehtaDivision of Nephrology and Hypertension, Department of Medicine, University of California San Diego, 200 W Arbor Drive, San Diego, CA 92103, USA. rmehta@ucsd.edu
Josée Bouchard
Sharon B Soroko
T Alp Ikizler
Emil P Paganini
Glenn M Chertow
Jonathan Himmelfarb
Program to Improve Care in Acute Renal Disease (PICARD) Study Group
University of San Diego · USCleveland Clinic · USUniversity of Washington · USUniversity of California San Diego · US

Funding

Mentoring Patient-Oriented Clinical Investigators in NephrologyK24DK085446 · NIDDK · STANFORD UNIVERSITY · PI CHERTOW, GLENN MATTHEW · 2010 to 2022
$1.4M
PREDICTING AND IMPROVING OUTCOMES IN ACUTE RENAL FAILURER01DK053412 · NIDDK · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI MEHTA, RAVINDRA L. · 1998 to 2001
$1.2M
NUTRITION AND METABOLISM IN ACUTE RENAL FAILURER01DK053413 · NIDDK · MAINE MEDICAL CENTER · PI HIMMELFARB, JONATHAN · 1998 to 2001
$550k
ICU ARF DIALYSIS DOSE QUANTIFICATION AND PATIENT OUTCOMER01DK053411 · NIDDK · CLEVELAND CLINIC FOUNDATION · PI PAGANINI, EMIL · 1998 to 2001
$489k
NIDDK NIH HHS K24 DK085446NIDDK NIH HHS R01-DK53411NIDDK NIH HHS R01-DK53412NIDDK NIH HHS R01-DK53413
6 · The paper itself

Abstract

purposeSepsis commonly contributes to acute kidney injury (AKI); however, the frequency with which sepsis develops as a complication of AKI and the clinical consequences of this sepsis are unknown. This study examined the incidence of, and outcomes associated with, sepsis developing after AKI.

methodsWe analyzed data from 618 critically ill patients enrolled in a multicenter observational study of AKI (PICARD). Patients were stratified according to their sepsis status and timing of incident sepsis relative to AKI diagnosis.

resultsWe determined the associations among sepsis, clinical characteristics, provision of dialysis, in-hospital mortality, and length of stay (LOS), comparing outcomes among patients according to their sepsis status. Among the 611 patients with data on sepsis status, 174 (28%) had sepsis before AKI, 194 (32%) remained sepsis-free, and 243 (40%) developed sepsis a median of 5 days after AKI. Mortality rates for patients with sepsis developing after AKI were higher than in sepsis-free patients (44 vs. 21%; p < 0.0001) and similar to patients with sepsis preceding AKI (48 vs. 44%; p = 0.41). Compared with sepsis-free patients, those with sepsis developing after AKI were also more likely to be dialyzed (70 vs. 50%; p < 0.001) and had longer LOS (37 vs. 27 days; p < 0.001). Oliguria, higher fluid accumulation and severity of illness scores, non-surgical procedures after AKI, and provision of dialysis were predictors of sepsis after AKI.

conclusionsSepsis frequently develops after AKI and portends a poor prognosis, with high mortality rates and relatively long LOS. Future studies should evaluate techniques to monitor for and manage this complication to improve overall prognosis.

Indexed as

Acute Kidney InjuryAdultAgedFemaleForecastingHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedOutcome Assessment, Health CareRenal DialysisSepsisSeverity of Illness IndexUnited States

Identifiers

PMID21152901
PMCPMC3028102
OpenAlexW2017657594

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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.