Evidence map›Paper›PMID 42220883›Full record

ArticleKidney diseases (Basel, Switzerland)

Dynamic and Individualized Prediction of Acute Kidney Injury via Longitudinal Peripheral Blood Cell Trajectories among COVID-19 Inpatients: A Multicenter Prospective Cohort Study.

Jing Ma, Feiya Xu, Yuzhi Tao, Lijun Chen, Jing Han, Chaosheng Deng, Yunhui Zhang, Binliang Wang, Wei Wang, Lei Xia and 12 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Kidney diseases (Basel, Switzerland). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

22 authors.

Jing MaDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Feiya XuNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Yuzhi TaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Key Laboratory of Epidemiology of Major Diseases, Ministry of Education, Beijing, China.
Lijun ChenDepartment of Pulmonary and Critical Care Medicine, The First People's Hospital of Yinchuan, Yinchuan, China.
Jing HanDepartment of Pulmonary and Critical Care Medicine, Guizhou Provincial People's Hospital, Guiyang, China.
Chaosheng DengDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Yunhui ZhangDepartment of Pulmonary and Critical Care Medicine, First People's Hospital of Yunnan Province, Yunnan, China.
Binliang WangDepartment of Pulmonary and Critical Care Medicine, Taizhou First People's Hospital, Taizhou, China.
Wei WangDepartment of Nursing, China-Japan Friendship Hospital, Beijing, China.
Lei XiaMedical Affairs Department of China-Japan Friendship Hospital, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China.
Yaping XuDepartment of Orthopedics, China-Japan Friendship Hospital, Beijing, China.
Kaiyuan ZhenNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Yanshuang LyuDepartment of Physiology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xiaomeng ZhangNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Xin LiuDepartment of Nephrology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Shuai ZhangNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Wanmu XieNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Peiran YangState Key Laboratory of Respiratory Health and Multimorbidity, Department of Physiology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, National Center for Respiratory Medicine, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, Beijing, China.
Chen WangNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Dingyi WangNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Department of Clinical Research and Data management, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Zhenguo ZhaiDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Guohui FanNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Department of Clinical Research and Data management, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Acute kidney injury (AKI) is a serious complication of COVID-19 inpatients, requiring early identification of high-risk individuals by dynamic biomarkers. We evaluated the association between longitudinal peripheral blood count (PBC) trajectories and AKI in these patients by joint model analysis. Methods: In a prospective cohort of 3,691 hospitalized adults with COVID-19 from six tertiary hospitals in China, longitudinal lymphocyte, neutrophil, and platelet counts and four derived ratios (neutrophil-to-lymphocyte ratio [NLR], platelet-to-lymphocyte ratio [PLR], neutrophil-to-platelet ratio [NPR], and neutrophil-to-lymphocyte-platelet ratio [NLPR]) were analyzed. A joint model was performed to evaluate the associations between PBC trajectories and in-hospital AKI. PBC thresholds on admission were identified by restricted cubic splines for further stratified joint model analyses. Competing-risk joint models were then performed to evaluate the associations between PBC trajectories and renal recovery. Results: Among 3,691 COVID-19 inpatients, 768 (20.8%) developed AKI during hospitalization. Joint model analysis revealed that trajectories of all seven PBC parameters were significantly associated with AKI risk (all Conclusion: By joint model analyses, dynamic PBC trajectories enabled individualized, real-time AKI risk evaluation in COVID-19 patients.

Indexed as

Acute kidney injuryCOVID-19Dynamic predictionJoint modelPeripheral blood count

Identifiers

PMID42220883
PMCPMC13221176

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.