Evidence map›Paper›PMID 30395945›Full record

Observational studyInternational journal of surgery (London, England)2018

Development of a Malawi Intensive care Mortality risk Evaluation (MIME) model, a prospective cohort study.

Meghan Prin, Stephanie Pan, Clement Kadyaudzu, Guohua Li, Anthony Charles

Abstract readObservational Study
In one paragraph

Observational study in International journal of surgery (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Prevalence, Etiology, and Outcome of Sepsis among Critically Ill Patients in Malawi.The American journal of tropical medicine and hygiene · 2020
    Observational
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

5 authors.

Meghan PrinDepartment of Anesthesiology and Department of Obstetrics & Gynecology, Baylor College of Medicine, Houston, TX 77030, USA. Electronic address: prin@bcm.edu.
Stephanie PanIcahn School of Medicine at Mt. Sinai, New York, NY, USA. Electronic address: Stephanie.pan6@gmail.com.
Clement KadyaudzuKamuzu Central Hospital, Lilongwe, Malawi.
Guohua LiDepartment of Anesthesiology, Columbia University College of Physicians & Surgeons, New York, NY, USA; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA. Electronic address: gl2240@cumc.columbia.edu.
Anthony CharlesDepartment of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

Fogarty Global Health Fellows Coordinating CenterR25TW009340 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHI, BENJAMIN H. · 2012 to 2016
$6.9M
FIC NIH HHS R25 TW009340
6 · The paper itself

Abstract

introductionIntensive care medicine can contribute to population health in low-income countries by reducing premature mortality related to surgery, trauma, obstetrical and other medical emergencies. Quality improvement is guided by risk stratification models, which are developed primarily within high-income settings. Models validated for use in low-income countries are needed.

methodsThis prospective cohort study consisted of 261 patients admitted to the intensive care unit (ICU) of Kamuzu Central Hospital in Malawi, from September 2016 to March 2018. The primary outcome was in-hospital mortality. We performed univariable analyses on putative predictors and included those with a significance of 0.15 in the Malawi Intensive care Mortality risk Evaluation model (MIME). Model discrimination was evaluated using the area under the curve.

resultsMales made up 37.9% of the study sample and the mean age was 34.4 years. A majority (73.9%) were admitted to the ICU after a recent surgical procedure, and 59% came directly from the operating theater. In-hospital mortality was 60.5%. The MIME based on age, sex, admitting service, systolic pressure, altered mental status, and fever during the ICU course had a fairly good discrimination, with an AUC of 0.70 (95% CI 0.63-0.76).

conclusionsThe MIME has modest ability to predict in-hospital mortality in a Malawian ICU. Multicenter research is needed to validate the MIME and assess its clinical utility.

Indexed as

Hospital MortalityAdolescentAdultAgedAged, 80 and overArea Under CurveCohort StudiesFemaleHumansIntensive Care UnitsMalawiMaleMiddle AgedProspective StudiesRisk AssessmentYoung AdultCritical careGlobal surgeryLow-incomeRisk model

Identifiers

PMID30395945
PMCPMC6647837

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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.