Loading…
Performance of Three Mortality Prediction Scores and Evaluation of Important Determinants in Eight Pediatric Intensive Care Units in China
Background: The mortality prediction scores were widely used in pediatric intensive care units. However, their performances were unclear in Chinese patients and there were also no reports based on large sample sizes in China. This study aims to evaluate the performances of three existing severity as...
Saved in:
Published in: | Frontiers in pediatrics 2020-09, Vol.8, p.522-522 |
---|---|
Main Authors: | , , , , , , , , , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c436t-a17e140123204c9af5e4d9bb23d95dd55780e04aee2741e46692ebd1775d0c0c3 |
---|---|
cites | cdi_FETCH-LOGICAL-c436t-a17e140123204c9af5e4d9bb23d95dd55780e04aee2741e46692ebd1775d0c0c3 |
container_end_page | 522 |
container_issue | |
container_start_page | 522 |
container_title | Frontiers in pediatrics |
container_volume | 8 |
creator | Zhang, Zhengzheng Huang, Xiangyuan Wang, Ying Li, Ying Miao, Hongjun Zhang, Chenmei Pan, Guoquan Zhang, Yucai Zhu, Xiaodong Chen, Weiming Li, Juanzhen Su, Dongni Bi, Yanlong Chen, Zhenjie Jin, Bingxin Miao, Huijie Kong, Xiangmei Cheng, Ye Chen, Yang Yan, Gangfeng Yan, Weili Lu, Guoping |
description | Background:
The mortality prediction scores were widely used in pediatric intensive care units. However, their performances were unclear in Chinese patients and there were also no reports based on large sample sizes in China. This study aims to evaluate the performances of three existing severity assessment scores in predicting PICU mortality and to identify important determinants.
Methods:
This prospective observational cohort study was carried out in eight multidisciplinary, tertiary-care PICUs of teaching hospitals in China. All eligible patients admitted to the PICUs between Aug 1, 2016, and Jul 31, 2017, were consecutively enrolled, among whom 3,957 were included for analysis. We calculated PCIS, PRISM IV, and PELOD-2 scores based on patient data collected in the first 24 h after PICU admission. The in-hospital mortality was defined as all-cause death within 3 months after admission. The discrimination of mortality was assessed using the area under the receiver-operating characteristics curve (AUC) and calibrated using the Hosmer–Lemeshow goodness-of-fit test.
Results:
A total of 4,770 eligible patients were recruited (median age 18.2 months, overall mortality rate 4.7%, median length of PICU stay 6 days), and 3,957 participants were included in the analysis. The AUC (95% confidence intervals, CI) were 0.74 (0.71–0.78), 0.76 (0.73–0.80), and 0.80 (0.77–0.83) for PCIS, PRISM IV, and PELOD-2, respectively. The Hosmer–Lemeshow test gave a chi-square of 3.16 for PCIS, 2.16 for PRISM IV and 4.81 for PELOD-2 (
p
≥ 0.19). Cox regression identified five predictors from the items of scores better associated with higher death risk, with a C-index of 0.83 (95%CI 0.79–0.86), including higher platelet (HR = 1.85, 95% CI 1.59–2.16), invasive ventilation (HR = 1.40, 1.26–1.55), pupillary light reflex (HR = 1.31, 95% CI 1.22–1.42) scores, lower pH (HR 0.89, 0.84–0.94), and extreme PaO
2
(HR 2.60, 95% CI 1.61–4.19 for the 1st quantile vs. 4th quantile) scores.
Conclusions:
Performances of the three scores in predicting PICU mortality are comparable, and five predictors were identified with better prediction to PICU mortality in Chinese patients. |
doi_str_mv | 10.3389/fped.2020.00522 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_60b5ec452c9d4b4bb9aa4954ecfe2068</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_60b5ec452c9d4b4bb9aa4954ecfe2068</doaj_id><sourcerecordid>2448635158</sourcerecordid><originalsourceid>FETCH-LOGICAL-c436t-a17e140123204c9af5e4d9bb23d95dd55780e04aee2741e46692ebd1775d0c0c3</originalsourceid><addsrcrecordid>eNpVkk1v2zAMho1hw1p0Pe-q4y5J9WlHlwFDlm4BOizA2rNAS3SiwpYySQnQv7BfPTspipYXEuTLhwe-VfWZ0bkQC33T7dHNOeV0Tqni_F11ybmuZ1zU9P2r-qK6zvmRjqEbqpj6WF0IQZnUvLms_m0wdTENECyS2JH7XUIkv2Iq0PvyRDYJnbfFx0D-2JgwEwiOrI7QH-DUHXfWw37Sh0K-Y8E0-DDWmfhAVn67K2QzIqAkb8k6FAzZH5EsISF5CP6sW-7GnU_Vhw76jNfP-ap6uF3dL3_O7n7_WC-_3c2sFHWZAWuQScq44FRaDZ1C6XTbcuG0ck6pZkGRSkDkjWQo61pzbB1rGuWopVZcVesz10V4NPvkB0hPJoI3p0ZMWwOpeNujqWmr0ErFrXaylW2rAaRWEm2HnNaLkfX1zNof2gGdxVAS9G-gbyfB78w2Hk2jqBofMAK-PANS_HvAXMzgs8W-h4DxkA2XclGL8WvTrZuz1KaYc8Lu5QyjZjKEmQxhJkOYkyHEf8YIqnw</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2448635158</pqid></control><display><type>article</type><title>Performance of Three Mortality Prediction Scores and Evaluation of Important Determinants in Eight Pediatric Intensive Care Units in China</title><source>PubMed Central database</source><creator>Zhang, Zhengzheng ; Huang, Xiangyuan ; Wang, Ying ; Li, Ying ; Miao, Hongjun ; Zhang, Chenmei ; Pan, Guoquan ; Zhang, Yucai ; Zhu, Xiaodong ; Chen, Weiming ; Li, Juanzhen ; Su, Dongni ; Bi, Yanlong ; Chen, Zhenjie ; Jin, Bingxin ; Miao, Huijie ; Kong, Xiangmei ; Cheng, Ye ; Chen, Yang ; Yan, Gangfeng ; Yan, Weili ; Lu, Guoping</creator><creatorcontrib>Zhang, Zhengzheng ; Huang, Xiangyuan ; Wang, Ying ; Li, Ying ; Miao, Hongjun ; Zhang, Chenmei ; Pan, Guoquan ; Zhang, Yucai ; Zhu, Xiaodong ; Chen, Weiming ; Li, Juanzhen ; Su, Dongni ; Bi, Yanlong ; Chen, Zhenjie ; Jin, Bingxin ; Miao, Huijie ; Kong, Xiangmei ; Cheng, Ye ; Chen, Yang ; Yan, Gangfeng ; Yan, Weili ; Lu, Guoping</creatorcontrib><description>Background:
The mortality prediction scores were widely used in pediatric intensive care units. However, their performances were unclear in Chinese patients and there were also no reports based on large sample sizes in China. This study aims to evaluate the performances of three existing severity assessment scores in predicting PICU mortality and to identify important determinants.
Methods:
This prospective observational cohort study was carried out in eight multidisciplinary, tertiary-care PICUs of teaching hospitals in China. All eligible patients admitted to the PICUs between Aug 1, 2016, and Jul 31, 2017, were consecutively enrolled, among whom 3,957 were included for analysis. We calculated PCIS, PRISM IV, and PELOD-2 scores based on patient data collected in the first 24 h after PICU admission. The in-hospital mortality was defined as all-cause death within 3 months after admission. The discrimination of mortality was assessed using the area under the receiver-operating characteristics curve (AUC) and calibrated using the Hosmer–Lemeshow goodness-of-fit test.
Results:
A total of 4,770 eligible patients were recruited (median age 18.2 months, overall mortality rate 4.7%, median length of PICU stay 6 days), and 3,957 participants were included in the analysis. The AUC (95% confidence intervals, CI) were 0.74 (0.71–0.78), 0.76 (0.73–0.80), and 0.80 (0.77–0.83) for PCIS, PRISM IV, and PELOD-2, respectively. The Hosmer–Lemeshow test gave a chi-square of 3.16 for PCIS, 2.16 for PRISM IV and 4.81 for PELOD-2 (
p
≥ 0.19). Cox regression identified five predictors from the items of scores better associated with higher death risk, with a C-index of 0.83 (95%CI 0.79–0.86), including higher platelet (HR = 1.85, 95% CI 1.59–2.16), invasive ventilation (HR = 1.40, 1.26–1.55), pupillary light reflex (HR = 1.31, 95% CI 1.22–1.42) scores, lower pH (HR 0.89, 0.84–0.94), and extreme PaO
2
(HR 2.60, 95% CI 1.61–4.19 for the 1st quantile vs. 4th quantile) scores.
Conclusions:
Performances of the three scores in predicting PICU mortality are comparable, and five predictors were identified with better prediction to PICU mortality in Chinese patients.</description><identifier>ISSN: 2296-2360</identifier><identifier>EISSN: 2296-2360</identifier><identifier>DOI: 10.3389/fped.2020.00522</identifier><identifier>PMID: 33014927</identifier><language>eng</language><publisher>Frontiers Media S.A</publisher><subject>cohort study ; model validation ; mortality ; pediatric intensive care unit ; Pediatrics ; prediction model</subject><ispartof>Frontiers in pediatrics, 2020-09, Vol.8, p.522-522</ispartof><rights>Copyright © 2020 Zhang, Huang, Wang, Li, Miao, Zhang, Pan, Zhang, Zhu, Chen, Li, Su, Bi, Chen, Jin, Miao, Kong, Cheng, Chen, Yan, Yan and Lu. 2020 Zhang, Huang, Wang, Li, Miao, Zhang, Pan, Zhang, Zhu, Chen, Li, Su, Bi, Chen, Jin, Miao, Kong, Cheng, Chen, Yan, Yan and Lu</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c436t-a17e140123204c9af5e4d9bb23d95dd55780e04aee2741e46692ebd1775d0c0c3</citedby><cites>FETCH-LOGICAL-c436t-a17e140123204c9af5e4d9bb23d95dd55780e04aee2741e46692ebd1775d0c0c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505927/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505927/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids></links><search><creatorcontrib>Zhang, Zhengzheng</creatorcontrib><creatorcontrib>Huang, Xiangyuan</creatorcontrib><creatorcontrib>Wang, Ying</creatorcontrib><creatorcontrib>Li, Ying</creatorcontrib><creatorcontrib>Miao, Hongjun</creatorcontrib><creatorcontrib>Zhang, Chenmei</creatorcontrib><creatorcontrib>Pan, Guoquan</creatorcontrib><creatorcontrib>Zhang, Yucai</creatorcontrib><creatorcontrib>Zhu, Xiaodong</creatorcontrib><creatorcontrib>Chen, Weiming</creatorcontrib><creatorcontrib>Li, Juanzhen</creatorcontrib><creatorcontrib>Su, Dongni</creatorcontrib><creatorcontrib>Bi, Yanlong</creatorcontrib><creatorcontrib>Chen, Zhenjie</creatorcontrib><creatorcontrib>Jin, Bingxin</creatorcontrib><creatorcontrib>Miao, Huijie</creatorcontrib><creatorcontrib>Kong, Xiangmei</creatorcontrib><creatorcontrib>Cheng, Ye</creatorcontrib><creatorcontrib>Chen, Yang</creatorcontrib><creatorcontrib>Yan, Gangfeng</creatorcontrib><creatorcontrib>Yan, Weili</creatorcontrib><creatorcontrib>Lu, Guoping</creatorcontrib><title>Performance of Three Mortality Prediction Scores and Evaluation of Important Determinants in Eight Pediatric Intensive Care Units in China</title><title>Frontiers in pediatrics</title><description>Background:
The mortality prediction scores were widely used in pediatric intensive care units. However, their performances were unclear in Chinese patients and there were also no reports based on large sample sizes in China. This study aims to evaluate the performances of three existing severity assessment scores in predicting PICU mortality and to identify important determinants.
Methods:
This prospective observational cohort study was carried out in eight multidisciplinary, tertiary-care PICUs of teaching hospitals in China. All eligible patients admitted to the PICUs between Aug 1, 2016, and Jul 31, 2017, were consecutively enrolled, among whom 3,957 were included for analysis. We calculated PCIS, PRISM IV, and PELOD-2 scores based on patient data collected in the first 24 h after PICU admission. The in-hospital mortality was defined as all-cause death within 3 months after admission. The discrimination of mortality was assessed using the area under the receiver-operating characteristics curve (AUC) and calibrated using the Hosmer–Lemeshow goodness-of-fit test.
Results:
A total of 4,770 eligible patients were recruited (median age 18.2 months, overall mortality rate 4.7%, median length of PICU stay 6 days), and 3,957 participants were included in the analysis. The AUC (95% confidence intervals, CI) were 0.74 (0.71–0.78), 0.76 (0.73–0.80), and 0.80 (0.77–0.83) for PCIS, PRISM IV, and PELOD-2, respectively. The Hosmer–Lemeshow test gave a chi-square of 3.16 for PCIS, 2.16 for PRISM IV and 4.81 for PELOD-2 (
p
≥ 0.19). Cox regression identified five predictors from the items of scores better associated with higher death risk, with a C-index of 0.83 (95%CI 0.79–0.86), including higher platelet (HR = 1.85, 95% CI 1.59–2.16), invasive ventilation (HR = 1.40, 1.26–1.55), pupillary light reflex (HR = 1.31, 95% CI 1.22–1.42) scores, lower pH (HR 0.89, 0.84–0.94), and extreme PaO
2
(HR 2.60, 95% CI 1.61–4.19 for the 1st quantile vs. 4th quantile) scores.
Conclusions:
Performances of the three scores in predicting PICU mortality are comparable, and five predictors were identified with better prediction to PICU mortality in Chinese patients.</description><subject>cohort study</subject><subject>model validation</subject><subject>mortality</subject><subject>pediatric intensive care unit</subject><subject>Pediatrics</subject><subject>prediction model</subject><issn>2296-2360</issn><issn>2296-2360</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpVkk1v2zAMho1hw1p0Pe-q4y5J9WlHlwFDlm4BOizA2rNAS3SiwpYySQnQv7BfPTspipYXEuTLhwe-VfWZ0bkQC33T7dHNOeV0Tqni_F11ybmuZ1zU9P2r-qK6zvmRjqEbqpj6WF0IQZnUvLms_m0wdTENECyS2JH7XUIkv2Iq0PvyRDYJnbfFx0D-2JgwEwiOrI7QH-DUHXfWw37Sh0K-Y8E0-DDWmfhAVn67K2QzIqAkb8k6FAzZH5EsISF5CP6sW-7GnU_Vhw76jNfP-ap6uF3dL3_O7n7_WC-_3c2sFHWZAWuQScq44FRaDZ1C6XTbcuG0ck6pZkGRSkDkjWQo61pzbB1rGuWopVZcVesz10V4NPvkB0hPJoI3p0ZMWwOpeNujqWmr0ErFrXaylW2rAaRWEm2HnNaLkfX1zNof2gGdxVAS9G-gbyfB78w2Hk2jqBofMAK-PANS_HvAXMzgs8W-h4DxkA2XclGL8WvTrZuz1KaYc8Lu5QyjZjKEmQxhJkOYkyHEf8YIqnw</recordid><startdate>20200908</startdate><enddate>20200908</enddate><creator>Zhang, Zhengzheng</creator><creator>Huang, Xiangyuan</creator><creator>Wang, Ying</creator><creator>Li, Ying</creator><creator>Miao, Hongjun</creator><creator>Zhang, Chenmei</creator><creator>Pan, Guoquan</creator><creator>Zhang, Yucai</creator><creator>Zhu, Xiaodong</creator><creator>Chen, Weiming</creator><creator>Li, Juanzhen</creator><creator>Su, Dongni</creator><creator>Bi, Yanlong</creator><creator>Chen, Zhenjie</creator><creator>Jin, Bingxin</creator><creator>Miao, Huijie</creator><creator>Kong, Xiangmei</creator><creator>Cheng, Ye</creator><creator>Chen, Yang</creator><creator>Yan, Gangfeng</creator><creator>Yan, Weili</creator><creator>Lu, Guoping</creator><general>Frontiers Media S.A</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20200908</creationdate><title>Performance of Three Mortality Prediction Scores and Evaluation of Important Determinants in Eight Pediatric Intensive Care Units in China</title><author>Zhang, Zhengzheng ; Huang, Xiangyuan ; Wang, Ying ; Li, Ying ; Miao, Hongjun ; Zhang, Chenmei ; Pan, Guoquan ; Zhang, Yucai ; Zhu, Xiaodong ; Chen, Weiming ; Li, Juanzhen ; Su, Dongni ; Bi, Yanlong ; Chen, Zhenjie ; Jin, Bingxin ; Miao, Huijie ; Kong, Xiangmei ; Cheng, Ye ; Chen, Yang ; Yan, Gangfeng ; Yan, Weili ; Lu, Guoping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c436t-a17e140123204c9af5e4d9bb23d95dd55780e04aee2741e46692ebd1775d0c0c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>cohort study</topic><topic>model validation</topic><topic>mortality</topic><topic>pediatric intensive care unit</topic><topic>Pediatrics</topic><topic>prediction model</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Zhengzheng</creatorcontrib><creatorcontrib>Huang, Xiangyuan</creatorcontrib><creatorcontrib>Wang, Ying</creatorcontrib><creatorcontrib>Li, Ying</creatorcontrib><creatorcontrib>Miao, Hongjun</creatorcontrib><creatorcontrib>Zhang, Chenmei</creatorcontrib><creatorcontrib>Pan, Guoquan</creatorcontrib><creatorcontrib>Zhang, Yucai</creatorcontrib><creatorcontrib>Zhu, Xiaodong</creatorcontrib><creatorcontrib>Chen, Weiming</creatorcontrib><creatorcontrib>Li, Juanzhen</creatorcontrib><creatorcontrib>Su, Dongni</creatorcontrib><creatorcontrib>Bi, Yanlong</creatorcontrib><creatorcontrib>Chen, Zhenjie</creatorcontrib><creatorcontrib>Jin, Bingxin</creatorcontrib><creatorcontrib>Miao, Huijie</creatorcontrib><creatorcontrib>Kong, Xiangmei</creatorcontrib><creatorcontrib>Cheng, Ye</creatorcontrib><creatorcontrib>Chen, Yang</creatorcontrib><creatorcontrib>Yan, Gangfeng</creatorcontrib><creatorcontrib>Yan, Weili</creatorcontrib><creatorcontrib>Lu, Guoping</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>Frontiers in pediatrics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Zhengzheng</au><au>Huang, Xiangyuan</au><au>Wang, Ying</au><au>Li, Ying</au><au>Miao, Hongjun</au><au>Zhang, Chenmei</au><au>Pan, Guoquan</au><au>Zhang, Yucai</au><au>Zhu, Xiaodong</au><au>Chen, Weiming</au><au>Li, Juanzhen</au><au>Su, Dongni</au><au>Bi, Yanlong</au><au>Chen, Zhenjie</au><au>Jin, Bingxin</au><au>Miao, Huijie</au><au>Kong, Xiangmei</au><au>Cheng, Ye</au><au>Chen, Yang</au><au>Yan, Gangfeng</au><au>Yan, Weili</au><au>Lu, Guoping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Performance of Three Mortality Prediction Scores and Evaluation of Important Determinants in Eight Pediatric Intensive Care Units in China</atitle><jtitle>Frontiers in pediatrics</jtitle><date>2020-09-08</date><risdate>2020</risdate><volume>8</volume><spage>522</spage><epage>522</epage><pages>522-522</pages><issn>2296-2360</issn><eissn>2296-2360</eissn><abstract>Background:
The mortality prediction scores were widely used in pediatric intensive care units. However, their performances were unclear in Chinese patients and there were also no reports based on large sample sizes in China. This study aims to evaluate the performances of three existing severity assessment scores in predicting PICU mortality and to identify important determinants.
Methods:
This prospective observational cohort study was carried out in eight multidisciplinary, tertiary-care PICUs of teaching hospitals in China. All eligible patients admitted to the PICUs between Aug 1, 2016, and Jul 31, 2017, were consecutively enrolled, among whom 3,957 were included for analysis. We calculated PCIS, PRISM IV, and PELOD-2 scores based on patient data collected in the first 24 h after PICU admission. The in-hospital mortality was defined as all-cause death within 3 months after admission. The discrimination of mortality was assessed using the area under the receiver-operating characteristics curve (AUC) and calibrated using the Hosmer–Lemeshow goodness-of-fit test.
Results:
A total of 4,770 eligible patients were recruited (median age 18.2 months, overall mortality rate 4.7%, median length of PICU stay 6 days), and 3,957 participants were included in the analysis. The AUC (95% confidence intervals, CI) were 0.74 (0.71–0.78), 0.76 (0.73–0.80), and 0.80 (0.77–0.83) for PCIS, PRISM IV, and PELOD-2, respectively. The Hosmer–Lemeshow test gave a chi-square of 3.16 for PCIS, 2.16 for PRISM IV and 4.81 for PELOD-2 (
p
≥ 0.19). Cox regression identified five predictors from the items of scores better associated with higher death risk, with a C-index of 0.83 (95%CI 0.79–0.86), including higher platelet (HR = 1.85, 95% CI 1.59–2.16), invasive ventilation (HR = 1.40, 1.26–1.55), pupillary light reflex (HR = 1.31, 95% CI 1.22–1.42) scores, lower pH (HR 0.89, 0.84–0.94), and extreme PaO
2
(HR 2.60, 95% CI 1.61–4.19 for the 1st quantile vs. 4th quantile) scores.
Conclusions:
Performances of the three scores in predicting PICU mortality are comparable, and five predictors were identified with better prediction to PICU mortality in Chinese patients.</abstract><pub>Frontiers Media S.A</pub><pmid>33014927</pmid><doi>10.3389/fped.2020.00522</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2296-2360 |
ispartof | Frontiers in pediatrics, 2020-09, Vol.8, p.522-522 |
issn | 2296-2360 2296-2360 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_60b5ec452c9d4b4bb9aa4954ecfe2068 |
source | PubMed Central database |
subjects | cohort study model validation mortality pediatric intensive care unit Pediatrics prediction model |
title | Performance of Three Mortality Prediction Scores and Evaluation of Important Determinants in Eight Pediatric Intensive Care Units in China |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T00%3A20%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Performance%20of%20Three%20Mortality%20Prediction%20Scores%20and%20Evaluation%20of%20Important%20Determinants%20in%20Eight%20Pediatric%20Intensive%20Care%20Units%20in%20China&rft.jtitle=Frontiers%20in%20pediatrics&rft.au=Zhang,%20Zhengzheng&rft.date=2020-09-08&rft.volume=8&rft.spage=522&rft.epage=522&rft.pages=522-522&rft.issn=2296-2360&rft.eissn=2296-2360&rft_id=info:doi/10.3389/fped.2020.00522&rft_dat=%3Cproquest_doaj_%3E2448635158%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c436t-a17e140123204c9af5e4d9bb23d95dd55780e04aee2741e46692ebd1775d0c0c3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2448635158&rft_id=info:pmid/33014927&rfr_iscdi=true |