Evidence map›Paper›PMID 39309070›Full record

ArticleInfection and drug resistance2024

Hematocrit and Albumin Levels at Admission Predict in-Hospital Mortality in Pediatric COVID-19 Omicron Variant Patients.

Yun Zhu, Lingyan Li, Wenxiao Wang, Xiaodan Liu, Meng Xue Zhang, Xiumin Chen, Xiaofeng Hou, Weimei Wang, Tuo Min, Jinmei Liu and 6 more

Abstract read
In one paragraph

Article in Infection and drug resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

16 authors.

Yun Zhu *Department of Pediatric Intensive Care Unit, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, People's Republic of China.
Lingyan Li *Department of Pediatrics, Zibo Maternal and Child Health Hospital, Zibo, Shandong, People's Republic of China.
Wenxiao Wang *Department of Pediatrics, Yantai Yuhuangding Hospital, Yantai, Shandong, People's Republic of China.
Xiaodan LiuDepartment of Pediatric Intensive Care Unit, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, People's Republic of China.
Meng Xue ZhangDepartment of Pediatric Intensive Care Unit, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, People's Republic of China.
Xiumin ChenDepartment of Pediatrics, Qingzhou People's Hospital, Weifang, Shandong, People's Republic of China.
Xiaofeng HouDepartment of Pediatrics, Laizhou City People's Hospital, Laizhou, Shandong, People's Republic of China.
Weimei WangDepartment of Pediatrics, Haiyang People's Hospital, Haiyang, Shandong, People's Republic of China.
Tuo MinDepartment of Pediatrics, Jining First People's Hospital, Jining, Shandong, People's Republic of China.
Jinmei LiuDepartment of Pediatrics, West Coast New District Hospital of Chinese Medicine, Huangdao, Shandong, People's Republic of China.
Lecui LiuDepartment of Neonatology, People's Hospital of Wulian, Wulian, Shandong, People's Republic of China.
Chengjun LiuDepartment of Pediatrics, Linyi Central Hospital, Linyi, Shandong, People's Republic of China.
Zhong JiangDepartment of Pediatrics, Rehabilitation University Qingdao Central Hospital, Qingdao, Shandong, People's Republic of China.
Yanping WangDepartment of Pediatrics, Qingdao Traditional Chinese Medicine Hospital, Qingdao, Shandong, People's Republic of China.
Dayun ChangDepartment of Pediatrics, Weihai Municipal Hospital, Weihai, Shangdong, People's Republic of China.
Hua PanDepartment of Pediatric Intensive Care Unit, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Omicron variant is the present predominant COVID-19 strain worldwide. Accurate mortality prediction can facilitate risk stratification and targeted therapies. The study aimed to evaluate the feasibility of the difference in hematocrit and albumin (HCT-ALB) levels, alone or combined with the pediatric Sequential Organ Failure Assessment (pSOFA) score and lactate level, to predict the in-hospital mortality of COVID-19 Omicron variant-infected pediatric patients. Methods: A multicenter retrospective cohort study was performed for children with COVID-19 Omicron variant infection between December 2021 and January 2022. The demographics, clinical characteristics, hospital admission laboratory test results, and treatments were recorded. The in-hospital mortality was documented. The associations between HCT-ALB levels and mortality, and between HCT-ALB+pSOFA+lactate and mortality were analyzed. Results: A total of 119 children were included. The median age was 1.6 (interquartile range: 0.5-6.2) years old. There were 70 boys and 49 girls. The mortality rate was 14.3% (17/119). The univariate and multivariate Cox regression analysis revealed that HCT-ALB was associated to in-hospital mortality (hazard ratio: 1.500, 95% confidence interval: 1.235-1.822, Conclusion: The HCT-ALB level can be applied to predict the in-hospital mortality of children infected with the COVID-19 Omicron variant. Its combination with other variables can improve prediction performance.

Indexed as

albuminCOVID-19hematocritmortalityomicron variant

Identifiers

PMID39309070
PMCPMC11416771

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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.