Evidence map›Paper›PMID 30717702›Full record

ArticleBMC infectious diseases2019

APACHE-II score for anti-tuberculosis tolerance in critically ill patients: a retrospective study.

Junke Qiu, Caihong Wang, Xiaohong Pan, Lei Pan, Xiaoqing Huang, Jiekun Xu, Xiaobo Ji, Minjie Mao

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
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  6. Tuberculosis parenteral therapeutic regimens for critical patients or non-functional intestinal tract: Brief review and proposal of protocol.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    Review
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

8 authors at 1 institution in 1 country.

Junke QiuDepartment of Tuberculosis Intensive Care Unit, Tuberculosis Diagnosis and Treatment Center of Zhejiang Province, Hang Zhou Red Cross Hospital, Hang Zhou, 310003, China.
Caihong WangDepartment of Tuberculosis Intensive Care Unit, Tuberculosis Diagnosis and Treatment Center of Zhejiang Province, Hang Zhou Red Cross Hospital, Hang Zhou, 310003, China.
Xiaohong PanDepartment of Tuberculosis Intensive Care Unit, Tuberculosis Diagnosis and Treatment Center of Zhejiang Province, Hang Zhou Red Cross Hospital, Hang Zhou, 310003, China.
Lei PanDepartment of Tuberculosis Intensive Care Unit, Tuberculosis Diagnosis and Treatment Center of Zhejiang Province, Hang Zhou Red Cross Hospital, Hang Zhou, 310003, China.
Xiaoqing HuangDepartment of Tuberculosis Intensive Care Unit, Tuberculosis Diagnosis and Treatment Center of Zhejiang Province, Hang Zhou Red Cross Hospital, Hang Zhou, 310003, China.
Jiekun XuDepartment of Tuberculosis Intensive Care Unit, Tuberculosis Diagnosis and Treatment Center of Zhejiang Province, Hang Zhou Red Cross Hospital, Hang Zhou, 310003, China.
Xiaobo JiDepartment of Tuberculosis Intensive Care Unit, Tuberculosis Diagnosis and Treatment Center of Zhejiang Province, Hang Zhou Red Cross Hospital, Hang Zhou, 310003, China.
Minjie MaoDepartment of Tuberculosis Intensive Care Unit, Tuberculosis Diagnosis and Treatment Center of Zhejiang Province, Hang Zhou Red Cross Hospital, Hang Zhou, 310003, China. maominjie0909@163.com.
Hangzhou Red Cross Hospital · CN

Funding

Health and Family Planning Commission of Hangzhou Municipality 20160533B40Health and Family Planning Commission of Zhejiang Province 2014KYA182
6 · The paper itself

Abstract

backgroundTo investigate the status of anti-tuberculosis treatment in critically ill patients, and to explore the value of APACHE-II score in guiding anti-tuberculosis treatment.

methodsThis analysis included critically ill patients with tuberculosis. The utility of APACHE-II score for predicting drug withdrawal was evaluated using receiver operating characteristic (ROC) curve analysis.

resultsAmong 320 patients enrolled (58 ± 22 years; 256 males), 147 (45.9%) had drugs withdrawn. The drug withdrawal group had higher APACHE-II score (median [interquartile range]: 21 [3-52] vs. 17 [4-42] points), higher CD4%, lower hemoglobin level, higher rates of chronic obstructive pulmonary disease (COPD) and chronic renal failure, and lower rate of extrapulmonary tuberculosis (P < 0.05). Logistic regression identified APACHE-II score > 18 (odds ratio [95% confidence interval]: 2.099 [1.321-3.334], P < 0.01), COPD (1.913 [1.028-3.561], P < 0.05) and hemoglobin level (0.987 [0.977-0.997], P < 0.05) as independent factors associated with drug withdrawal. At an optimal cutoff of 18.5, the sensitivity, specificity, positive predictive value and negative predictive value of APACHE-II score for predicting drug withdrawal was 59.2, 61.8, 56.9 and 64.1%, respectively.

conclusionsAPACHE-II score > 18 points might predict patient tolerance of anti-tuberculosis treatment.

Indexed as

Critical IllnessAdultAgedAged, 80 and overAntitubercular AgentsAPACHEComorbidityFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesSensitivity and SpecificityTuberculosisWithholding TreatmentAntitubercular AgentsAPACHE-IICritical illnessDrug toleranceTuberculosis

Identifiers

PMID30717702
PMCPMC6360662
OpenAlexW2918892219

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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.