Evidence map›Paper›PMID 26400736›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2015

Mortality in Relation to Frailty in Patients Admitted to a Specialized Geriatric Intensive Care Unit.

An Zeng, Xiaowei Song, Jiahui Dong, Arnold Mitnitski, Jian Liu, Zhenhui Guo, Kenneth Rockwood

Open access · bronzeAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 pooled it
7.7field-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.

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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it, 95 citations in OpenAlex.

  1. Pooled it
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  8. Frailty in Critically Ill Patients with COVID-19: The Lessons Learned.Advances in experimental medicine and biology · 2024
    Review
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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

7 authors at 2 institutions in 1 country.

An ZengSchool of Computers, Guangdong University of Technology, Guangzhou, China.
Xiaowei SongDepartment of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada. Centre for Healthcare of the Elderly, QEII Health Sciences Centre, Halifax, Nova Scotia, Canada.
Jiahui DongDepartment of Medical Intensive Care Unit, General Hospital of Guangzhou Military Command; Guangdong Provincial Key Laboratory of Geriatric Infection and Organ Function Support and Guangzhou Key Laboratory of Geriatric Infection and Organ Function Support, Guangzhou, China.
Arnold MitnitskiDepartment of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada. Departments of Mathematics and Statistics, Dalhousie University, Halifax, Nova Scotia, Canada.
Jian LiuDepartment of Medical Intensive Care Unit, General Hospital of Guangzhou Military Command; Guangdong Provincial Key Laboratory of Geriatric Infection and Organ Function Support and Guangzhou Key Laboratory of Geriatric Infection and Organ Function Support, Guangzhou, China.
Zhenhui GuoDepartment of Medical Intensive Care Unit, General Hospital of Guangzhou Military Command; Guangdong Provincial Key Laboratory of Geriatric Infection and Organ Function Support and Guangzhou Key Laboratory of Geriatric Infection and Organ Function Support, Guangzhou, China. Department of Medicine, Southern Medical University, Guangzhou, China. micugzh@126.com.
Kenneth RockwoodDepartment of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada. Centre for Healthcare of the Elderly, QEII Health Sciences Centre, Halifax, Nova Scotia, Canada.
General Hospital of Guangzhou Military Command · CNGuangdong University of Technology · CN

Funding

Canadian Institutes of Health Research CCI-92216
6 · The paper itself

Abstract

backgroundIn older adults admitted to intensive care units (ICUs), frailty influences prognosis. We examined the relationship between the frailty index (FI) based on deficit accumulation and early and late survival.

methodsOlder patients (≥65 years) admitted to a specialized geriatric ICU at the Liuhuaqiao Hospital, Guangzhou, China between July-December 2011 (n = 155; age 82.7±7.1 y; 87.1% men) were followed for 300 days. The FI was calculated as the proportion present of 52 health deficits. FI performance was compared with that of several prognostic scores.

resultsThe 90-day death rate was 38.7% (n = 60; 27 died within 30 days). The FI score was correlated with the Glasgow Coma Scale, Karnofsky Scale, Palliative Performance Scale, Acute Physiology Score-APACHE II and APACHE IV (r (2) = 0.52 to 0.72, p < 0.001). Patients who died within 30 days had higher mean FI scores (0.41±0.11) than those who survived to 300 days (0.22±0.11; F = 38.91, p < 0.001). Each 1% increase in the FI from the previous level was associated with an 11% increase in the 30-day mortality risk (95% CI: 7%-15%) adjusting for age, sex, and the prognostic scores. The FI discriminated patients who died in 30 days from those who survived with moderately high accuracy (AUC = 0.89±0.03). No one with an FI score >0.46 survived past 90 days.

conclusionICU survival was strongly associated with the level of frailty at admission. An FI based on health deficit accumulation may help improve critical care outcome prediction in older adults.

Indexed as

Geriatric AssessmentHospital MortalityAged, 80 and overFemaleFrail ElderlyHumansIntensive Care UnitsMalePatient AdmissionProspective StudiesFrailtyFrailty indexOlder patientsSpecialized geriatric intensive care unitSurvival

Identifiers

PMID26400736
PMCPMC4631107
OpenAlexW2180667378

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.