Evidence map›Paper›PMID 29432349›Full record

ArticleCritical care medicine2018

The Impact of Acute Organ Dysfunction on Long-Term Survival in Sepsis.

Alejandro Schuler, David A Wulf, Yun Lu, Theodore J Iwashyna, Gabriel J Escobar, Nigam H Shah, Vincent X Liu

2 registry-linked trialsAbstract readMulticenter Study
In one paragraph

Article in Critical care medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 96 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 1 pooled it
8.8field-weighted citation impact, top 2% 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.

NCT03865602 nacompletednot on this mapstarted 2019, after this paper: background citation

Improving Morbidity During Post-Acute Care Transitions for Sepsis (IMPACTS): A Pragmatic Randomized Evaluation of Implementing Best Practice Care for Sepsis Survivors to Reduce Morbidity and Mortality

TypeinterventionalSponsorWake Forest University Health SciencesRan2019 to 2021Enrolled712ConditionsClinical SepsisArmsSepsis Transition And Recovery (STAR), Usual care
NCT07068022 recruitingnot on this mapstarted 2025, after this paper: background citation

Development and Validation of an Obstetric Organ Dysfunction Score to Predict Mortality in Intensive Care Unit: A Multicenter, Prospective, Cohort Study

TypeobservationalSponsorDaniela VasquezRan2025 to 2027Enrolled130ConditionsPregnancy, Postpartum, Organ Dysfunction, Critical Care, Intensive CareArmsOrgan dysfunction score adjusted to obstetric patients (SOFA-OBS)
3 · Its place in the literature

Who cites it

96 citing papers in PubMed, 1 synthesis or guideline pooled it, 167 citations in OpenAlex.

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36 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Alejandro SchulerBiomedical Informatics Research, Department of Medicine, Stanford University, Stanford, CA.
David A WulfDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Yun LuDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Theodore J IwashynaDepartment of Medicine and Institute for Social Research, University of Michigan and VA Center for Clinical Management Research, VA Ann Arbor Health Healthcare System, Ann Arbor, MI.
Gabriel J EscobarDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Nigam H ShahBiomedical Informatics Research, Department of Medicine, Stanford University, Stanford, CA.
Vincent X LiuDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Kaiser Permanente · US

Funding

POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCEST15LM007033 · NLM · STANFORD UNIVERSITY · PI SYLVIA KATINA PLEVRITIS · 1985 to 2026
$25.5M
Cancer Systems Biology Scholars ProgramR25CA180993 · NCI · STANFORD UNIVERSITY · PI PLEVRITIS, SYLVIA KATINA · 2014 to 2018
$2.2M
Data-driven Precision medicine in sepsisK23GM112018 · NIGMS · KAISER FOUNDATION RESEARCH INSTITUTE · PI LIU, VINCENT · 2014 to 2017
$768k
NCI NIH HHS R25 CA180993NIGMS NIH HHS K23 GM112018NLM NIH HHS T15 LM007033
6 · The paper itself

Abstract

objectivesTo estimate the impact of each of six types of acute organ dysfunction (hepatic, renal, coagulation, neurologic, cardiac, and respiratory) on long-term mortality after surviving sepsis hospitalization.

designMulticenter, retrospective study. SETTINGS: Twenty-one hospitals within an integrated healthcare delivery system in Northern California. PATIENTS: Thirty thousand one hundred sixty-three sepsis patients admitted through the emergency department between 2010 and 2013, with mortality follow-up through April 2015.

interventionsNone. MEASUREMENTS AND MAIN

resultsAcute organ dysfunction was quantified using modified Sequential Organ Failure Assessment scores. The main outcome was long-term mortality among sepsis patients who survived hospitalization. The estimates of the impact of each type of acute organ dysfunction on long-term mortality were based on adjusted Cox proportional hazards models. Sensitivity analyses were conducted based on propensity score-matching and adjusted logistic regression. Hospital mortality was 9.4% and mortality was 31.7% at 1 year. Median follow-up time among sepsis survivors was 797 days (interquartile range: 384-1,219 d). Acute neurologic (odds ratio, 1.86; p < 0.001), respiratory (odds ratio, 1.43; p < 0.001), and cardiac (odds ratio, 1.31; p < 0.001) dysfunction were most strongly associated with short-term hospital mortality, compared with sepsis patients without these organ dysfunctions. Evaluating only patients surviving their sepsis hospitalization, acute neurologic dysfunction was also most strongly associated with long-term mortality (odds ratio, 1.52; p < 0.001) corresponding to a marginal increase in predicted 1-year mortality of 6.0% for the presence of any neurologic dysfunction (p < 0.001). Liver dysfunction was also associated with long-term mortality in all models, whereas the association for other organ dysfunction subtypes was inconsistent between models.

conclusionsAcute sepsis-related neurologic dysfunction was the organ dysfunction most strongly associated with short- and long-term mortality and represents a key mediator of long-term adverse outcomes following sepsis.

Indexed as

Acute Kidney InjuryAgedBrain InjuriesFemaleHeart FailureHospital MortalityHumansLiver Failure, AcuteLogistic ModelsMaleMultiple Organ FailurePropensity ScoreProportional Hazards ModelsRespiratory InsufficiencyRetrospective StudiesSepsis

Identifiers

PMID29432349
PMCPMC5953770
OpenAlexW2802501803

What OpenQuestion holds

Textmetadata
LicenceTDM
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.