Evidence map›Paper›PMID 42015246›Full record

ArticleJournal of anesthesia, analgesia and critical care2026

Predictors of ICU mortality in septic patients in a resource-limited African setting: a prospective multicenter cohort study in Lubumbashi, DRC.

Michel Muteya Manika, Rivain Fefe Iteke, Berthe Nsimire Barhayiga, Florence Mutomb Mujing'a, Eric Ilunga Kasamba, Serge Kapend Matanda, Christian Ngama Kakisingi, Ildéphose Mwanza Teta, Yves Banza Mukalayi, Jackson Rashidi Djuma and 8 more

Abstract read
In one paragraph

Article in Journal of anesthesia, analgesia and critical care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Michel Muteya ManikaDepartment of Anesthesiology and Intensive Care, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo. manikamichel@yahoo.fr.
Rivain Fefe ItekeDepartment of Anesthesiology and Intensive Care, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.
Berthe Nsimire BarhayigaDepartment of Anaesthesiology-Intensive Care, Faculty of Medicine, University of Kinshasa, Kinshasa, DR, Congo.
Florence Mutomb Mujing'aDepartment of Biomedical Sciences, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.
Eric Ilunga KasambaDepartment of Biomedical Sciences, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.
Serge Kapend MatandaDepartment of Internal Medicine, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.
Christian Ngama KakisingiDepartment of Internal Medicine, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.
Ildéphose Mwanza TetaDepartment of Anesthesiology and Intensive Care, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.
Yves Banza MukalayiDepartment of Anesthesiology and Intensive Care, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.
Jackson Rashidi DjumaDepartment of Biomedical Sciences, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.
Deogracias Umba MulewaDepartment of Anesthesiology and Intensive Care, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.
Nathan Kusthid Nguz'aDepartment of Anesthesiology and Intensive Care, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.
Sandra Zalambo SaggbozeDepartment of Anesthesiology and Intensive Care, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.
Alain-Willy Kabey A KabeyDepartment of Anesthesiology and Intensive Care, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.
Pitchou Mukaz Mbey5Department of Surgery, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.
Aristophane Koffi TanonInfectious Diseases Unit, Faculty of Medicine, Houphouët Boigny University, Abidjan, Ivory Coast.
Hippolyte Nani-Tuma SituakibanzaDepartment of Internal Medicine, Faculty of Medicine, University of Kinshasa, Kinshasa, DR, Congo.
Liévin Kalala Kapend'aDepartment of Internal Medicine, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis remains a leading cause of intensive care unit (ICU) mortality globally, with the highest burden observed in low- and middle-income countries where diagnostic capacity, timely referral, and access to organ support are limited. However, commonly used prognostic tools rely on laboratory and monitoring resources that are often unavailable in such settings. This study aimed to identify independent predictors of ICU mortality among adults with sepsis in Lubumbashi, Democratic Republic of the Congo, and to develop a context-adapted prognostic score suitable for resource-constrained environments.

methodsWe conducted a prospective multicentre cohort study across three ICUs between January 2021 and April 2023. Adults meeting Sepsis-3 criteria were consecutively enrolled. Clinical status, basic laboratory parameters, therapeutic timing, and socioeconomic characteristics were recorded within 24 h of ICU admission. Independent predictors of 28-day mortality were identified using multivariable logistic regression. A simplified point-based prognostic model (SPARS-Basique) was constructed and evaluated for discrimination (AUROC) and calibration, with internal validation using bootstrap resampling (1,000 iterations). The outcome of interest was 28-day ICU mortality.

resultsSeven variables were independently associated with ICU mortality: delayed ICU admission > 5 days, low socioeconomic status, absence of health insurance, GCS ≤ 10, SpO

conclusionsSepsis mortality in Lubumbashi ICUs remains high and is influenced by both biological severity and structural barriers to timely care. The SPARS-Basique score demonstrated good internal performance for early risk stratification of ICU mortality in this cohort. However, as this was an exploratory derivation study in a modest sample, external validation in larger, independent cohorts is required before broader clinical application can be considered.

Indexed as

Critical careDemocratic Republic of CongoMortalityPrognostic scoreResource-limited settingsSepsisSPARS-Basique

Identifiers

PMID42015246
PMCPMC13495289

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.