Evidence map›Paper›PMID 28291091›Full record

ArticleCritical care medicine2017

Impact of Acute Kidney Injury in Patients Hospitalized With Pneumonia.

Lakhmir S Chawla, Richard L Amdur, Charles Faselis, Ping Li, Paul L Kimmel, Carlos E Palant

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Critical care medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06117826 (Incidince of Acute Kidney Injury in Children With Community Acquired Pneumonia at Assiut University Children Hospital), which is not on this map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 15% 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.

NCT06117826 unknown statusnot on this mapstarted 2024, after this paper: background citation

Incidince of Acute Kidney Injury in Children With Community Acquired Pneumonia at Assiut University Children Hospital

TypeobservationalSponsorAssiut UniversityRan2024 to 2025Enrolled100ConditionsAcute Kidney Injury
3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Long-term risks of adverse kidney outcomes after acute kidney injury: a systematic review and meta-analysis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Lakhmir S Chawla1Department of Medicine, Veterans Affairs Medical Center, Washington, DC.2Division of Renal Diseases and Hypertension, Department of Medicine, George Washington University Medical Center, Washington, DC.3Department of Anesthesiology and Critical Care Medicine, George Washington University Medical Center, Washington, DC.4Department of Surgery, George Washington University Medical Center, Washington, DC.5National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD.
Richard L Amdur
Charles Faselis
Ping Li
Paul L Kimmel
Carlos E Palant
Veterans Health Administration · USNational Institutes of Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPneumonia is a common cause of hospitalization and can be complicated by the development of acute kidney injury. Acute kidney injury is associated with major adverse kidney events (death, dialysis, and durable loss of renal function [chronic kidney disease]). Because pneumonia and acute kidney injury are in part mediated by inflammation, we hypothesized that when acute kidney injury complicates pneumonia, major adverse kidney events outcomes would be exacerbated. We sought to assess the frequency of major adverse kidney events after a hospitalization for either pneumonia, acute kidney injury, or the combination of both. DESIGN AND

settingWe conducted a retrospective database analysis of the national Veterans Affairs database for patients with a admission diagnosis of International Classification of Diseases-9 code 584.xx (acute kidney injury) or 486.xx (pneumonia) between October 1, 1999, and December 31, 2005. Three groups of patients were created, based on the diagnosis of the index admission and serum creatinine values: 1) acute kidney injury, 2) pneumonia, and 3) pneumonia with acute kidney injury. Patients with mean baseline estimated glomerular filtration rate less than 45 mL/min/1.73 m were excluded. MEASUREMENTS AND MAIN

resultsThe primary endpoint was major adverse kidney events defined as the composite of death, chronic dialysis, or a permanent loss of renal function after the primary discharge. The observations of 54,894 subjects were analyzed. Mean age was 68.7 ± 12.3 years. The percentage of female was 2.4, 73.3% were Caucasian, and 19.7% were African-American. Differences across the three diagnostic groups were significant for death, 25% decrease in estimated glomerular filtration rate from baseline, major adverse kidney events following admission, and major adverse kidney events during admission (all p < 0.0001). Death alone and major adverse kidney events after discharge were most common in the pneumonia + acute kidney injury group (51% died and 62% reached major adverse kidney events). In both unadjusted and adjusted time to event analyses, patients with pneumonia + acute kidney injury were most likely to die or reach major adverse kidney events.

conclusionsWhen acute kidney injury accompanies pneumonia, postdischarge outcomes are worse than either diagnosis alone. Patients who survive a pneumonia hospitalization and develop acute kidney injury are at high risk for major adverse kidney events including death and should receive careful follow-up.

Indexed as

Acute Kidney InjuryAgedAged, 80 and overComorbidityCreatinineFemaleGlomerular Filtration RateHospitalizationHumansKaplan-Meier EstimateLength of StayMaleMiddle AgedPneumoniaRenal DialysisRenal Insufficiency, ChronicCreatinine

Identifiers

PMID28291091
OpenAlexW2597207133

What OpenQuestion holds

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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.