Evidence map›Paper›PMID 33267829›Full record

ArticleBMC infectious diseases2020

A risk score based on pediatric sequential organ failure assessment predicts 90-day mortality in children with Klebsiella pneumoniae bloodstream infection.

Shuang Li, Jingxian Liu, Feng Chen, Kang Cai, Jintong Tan, Wei Xie, Rong Qian, Xiaoqin Liu, Wenhong Zhang, Huimin Du and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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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

12 authors at 3 institutions in 2 countries.

Shuang LiDepartment of Infectious Diseases, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092, China.
Jingxian LiuDivision of Medical Microbiology, Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092, China.
Feng ChenDivision of Medical Microbiology, Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092, China.
Kang CaiDepartment of Infectious Diseases, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092, China.
Jintong TanDepartment of Neonatal Medicine, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092, China.
Wei XieDepartment of Pediatrics Intensive Care Unit, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092, China.
Rong QianDepartment of Hospital Infection Management, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092, China.
Xiaoqin LiuThe National Center for Register-based Research, Aarhus University, Fuglesangs Allé 26, 8210, Aarhus, Denmark.
Wenhong ZhangDepartment of Infectious Diseases, Huashan Hospital, Fudan University, No. 12. Middle Urumqi Road, Jingan District, Shanghai, 200040, China.
Huimin DuDepartment of Infectious Diseases, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092, China. donghuimin@xinhuamed.com.cn.
Ying LiuDivision of Medical Microbiology, Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092, China. liuying01@xinhuamed.com.cn.
Lisu HuangDepartment of Infectious Diseases, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092, China. huanglisu@xinhuamed.com.cn.ORCID http://orcid.org/0000-0001-7493-0532
Shanghai Jiao Tong University · CNAarhus University · DKFudan University · CN

Funding

Excellent Youth Talent Development Program of Xinhua Hospital 2016007Medical and Industrial Cross Research Foundation of Shanghai Jiao Tong University YG2017MS75National Natural Science Foundation of China 81874265School of Medicine, Shanghai Jiao Tong University BYH20180206Science and Technology Commission of Shanghai Municipality 18411966600Science and Technology Commission of Shanghai Municipality 19410740800Shanghai Municipal Health Bureau 2017YQ033Shanghai Municipal Human Resources and Social Security Bureau 2018003
6 · The paper itself

Abstract

backgroundKlebsiella pneumoniae bloodstream infection (Kp-BSI) is a serious threat to pediatric patients. The objective of this study was to explore the risk factors, validate the prediction efficiency of pediatric Sequential Organ Failure Assessment (SOFA) and establish better early predictors of mortality in pediatric patients with Kp-BSI.

methodsAll children diagnosed with Kp-BSI were included in this retrospective cohort study from January 2009 to June 2019. Basic characteristics, symptoms and physical examinations, treatments, laboratory statistics, and SOFA at the onset of Kp-BSI were recorded. The Cox proportional hazard model and receiver operating characteristic curves were used to assess the association between the variables and the 90-day mortality and their predictive value. DeLong's test of receiver operating characteristic curves and integrated discrimination improvement index were used to determine the improvement in predictive capacity of the modified SOFA models. A predictive score was developed using multivariate logistic regression.

resultsOf the 146 children enrolled, 33 (22.6%) patients died within 90 days. Hospitalization in the last 6 months, intra-abdominal source of infection, presence of organ failure, and altered levels of blood biomarkers, including C-reactive protein, albumin, and lactate were significant risk factors for 90-day mortality. The area under the curve (AUC) of SOFA for predicting 90-day mortality was 0.80 (95% CI 0.71-0.89). Moreover, we found that a prediction model combining SOFA with two other parameters, namely hospitalization in the last 6 months and intra-abdominal source of infection, was better at predicting mortality (AUC = 0.89, 95% CI 0.82-0.96; sensitivity = 0.86; specificity = 0.84). According to this novel risk model, we defined three statistically different groups: low-risk, medium-risk and high-risk groups, with an observed 90-day mortality of 5.4, 35.7, and 72.0%, respectively. With reference to the low-risk patients, the medium-risk and high-risk groups had a higher mortality, with hazard ratios of 8.36 (95% CI 3.60-27.83) and 20.27 (95% CI 7.47-54.95), respectively.

conclusionsThe modified SOFA may be better than the original score to predict 90-day mortality in pediatric patients with Kp-BSI. Future prospective studies are required to validate this novel scoring system in external cohorts.

Indexed as

Organ Dysfunction ScoresArea Under CurveBacteremiaBiomarkersChinaFemaleFollow-Up StudiesHospitalizationHumansInfantInfant, NewbornKlebsiella InfectionsKlebsiella pneumoniaeMalePrognosisProportional Hazards ModelsBiomarkersChildrenKlebsiella pneumoniaeMortalityRisk score

Identifiers

PMID33267829
PMCPMC7709332
OpenAlexW3107034272

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LicenceCC BY
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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.