Cargando…
Comparison of Different Scoring Systems for Prediction of Mortality and ICU Admission in Elderly CAP Population
BACKGROUND: The incidence and mortality rate of community-acquired pneumonia (CAP) in elderly patients were higher than the younger population. Different scoring systems, including The quick Sequential Organ Function Assessment (qSOFA), Combination of Confusion, Urea, Respiratory Rate, Blood Pressur...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560064/ https://www.ncbi.nlm.nih.gov/pubmed/34737556 http://dx.doi.org/10.2147/CIA.S335315 |
_version_ | 1784592869295652864 |
---|---|
author | Lv, Chunxin Chen, Yue Shi, Wen Pan, Teng Deng, Jinhai Xu, Jiayi |
author_facet | Lv, Chunxin Chen, Yue Shi, Wen Pan, Teng Deng, Jinhai Xu, Jiayi |
author_sort | Lv, Chunxin |
collection | PubMed |
description | BACKGROUND: The incidence and mortality rate of community-acquired pneumonia (CAP) in elderly patients were higher than the younger population. Different scoring systems, including The quick Sequential Organ Function Assessment (qSOFA), Combination of Confusion, Urea, Respiratory Rate, Blood Pressure, and Age ≥65 (CURB-65), Modified Early Warning Score (MEWS) and National Early Warning Score (NEWS), were used widely for predicting mortality and ICU admission of patients with community-acquired pneumonia (CAP). This study aimed to identify the most suitable score system for better hospitalization. METHODS: We retrospectively analyzed elderly patients with CAP in Minhang Hospital, Fudan University from 1 January 2018 to 1 January 2020. We recorded information of the patients including age, gender, underlying disease, consciousness state, vital signs, physiological and laboratory variables and further calculated the qSOFA, CURB-65, MEWS, and NEWS scores. Receiver operating characteristic (ROC) curves were used to predict the mortality risk and ICU admission. Kaplan–Meier survival curves were used in survival rate. RESULTS: In total, 1044 patients were selected for analysis and divided into two groups, namely survivor groups (902 cases) and non-survivor groups (142 cases). Depending on ICU admission enrolled patients were classified into ICU admission (n = 102) and non-ICU admission (n = 942) groups. Mortality expressed as AUC values were 0.844 (p < 0.001), 0.868 (p < 0.001), 0.927 (p < 0.001) and 0.892 (p < 0.001) for qSOFA, CURB 65, MEWS and NEWS, respectively. There were clear differences in MEWS vs CURB-65 (p < 0.0001), MEWS vs NEWS (p < 0.001), MEWS vs qSOFA (p < 0.0001). For ICU-admission, the AUC values of qSOFA, CURB-65, MEWS and NEWS scores were 0.866 (p < 0.001), 0.854 (p < 0.001), 0.922 (p < 0.001), 0.976 (p < 0.001), respectively. There were significant differences in NEWS vs CURB-65 (p < 0.0001), NEWS vs MEWS (p < 0.001), NEWS vs qSOFA (p < 0.0001). CONCLUSION: We explored the outcome prediction values of CURB65, qSOFA, MEWS and NEWS for patients aged 65-years and older with community-acquired pneumonia. We found that MEWS showed superiority over the other severity scores in predicting hospital mortality, and NEWS showed superiority over the other scores in predicting ICU admission. |
format | Online Article Text |
id | pubmed-8560064 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-85600642021-11-03 Comparison of Different Scoring Systems for Prediction of Mortality and ICU Admission in Elderly CAP Population Lv, Chunxin Chen, Yue Shi, Wen Pan, Teng Deng, Jinhai Xu, Jiayi Clin Interv Aging Original Research BACKGROUND: The incidence and mortality rate of community-acquired pneumonia (CAP) in elderly patients were higher than the younger population. Different scoring systems, including The quick Sequential Organ Function Assessment (qSOFA), Combination of Confusion, Urea, Respiratory Rate, Blood Pressure, and Age ≥65 (CURB-65), Modified Early Warning Score (MEWS) and National Early Warning Score (NEWS), were used widely for predicting mortality and ICU admission of patients with community-acquired pneumonia (CAP). This study aimed to identify the most suitable score system for better hospitalization. METHODS: We retrospectively analyzed elderly patients with CAP in Minhang Hospital, Fudan University from 1 January 2018 to 1 January 2020. We recorded information of the patients including age, gender, underlying disease, consciousness state, vital signs, physiological and laboratory variables and further calculated the qSOFA, CURB-65, MEWS, and NEWS scores. Receiver operating characteristic (ROC) curves were used to predict the mortality risk and ICU admission. Kaplan–Meier survival curves were used in survival rate. RESULTS: In total, 1044 patients were selected for analysis and divided into two groups, namely survivor groups (902 cases) and non-survivor groups (142 cases). Depending on ICU admission enrolled patients were classified into ICU admission (n = 102) and non-ICU admission (n = 942) groups. Mortality expressed as AUC values were 0.844 (p < 0.001), 0.868 (p < 0.001), 0.927 (p < 0.001) and 0.892 (p < 0.001) for qSOFA, CURB 65, MEWS and NEWS, respectively. There were clear differences in MEWS vs CURB-65 (p < 0.0001), MEWS vs NEWS (p < 0.001), MEWS vs qSOFA (p < 0.0001). For ICU-admission, the AUC values of qSOFA, CURB-65, MEWS and NEWS scores were 0.866 (p < 0.001), 0.854 (p < 0.001), 0.922 (p < 0.001), 0.976 (p < 0.001), respectively. There were significant differences in NEWS vs CURB-65 (p < 0.0001), NEWS vs MEWS (p < 0.001), NEWS vs qSOFA (p < 0.0001). CONCLUSION: We explored the outcome prediction values of CURB65, qSOFA, MEWS and NEWS for patients aged 65-years and older with community-acquired pneumonia. We found that MEWS showed superiority over the other severity scores in predicting hospital mortality, and NEWS showed superiority over the other scores in predicting ICU admission. Dove 2021-10-28 /pmc/articles/PMC8560064/ /pubmed/34737556 http://dx.doi.org/10.2147/CIA.S335315 Text en © 2021 Lv et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Lv, Chunxin Chen, Yue Shi, Wen Pan, Teng Deng, Jinhai Xu, Jiayi Comparison of Different Scoring Systems for Prediction of Mortality and ICU Admission in Elderly CAP Population |
title | Comparison of Different Scoring Systems for Prediction of Mortality and ICU Admission in Elderly CAP Population |
title_full | Comparison of Different Scoring Systems for Prediction of Mortality and ICU Admission in Elderly CAP Population |
title_fullStr | Comparison of Different Scoring Systems for Prediction of Mortality and ICU Admission in Elderly CAP Population |
title_full_unstemmed | Comparison of Different Scoring Systems for Prediction of Mortality and ICU Admission in Elderly CAP Population |
title_short | Comparison of Different Scoring Systems for Prediction of Mortality and ICU Admission in Elderly CAP Population |
title_sort | comparison of different scoring systems for prediction of mortality and icu admission in elderly cap population |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560064/ https://www.ncbi.nlm.nih.gov/pubmed/34737556 http://dx.doi.org/10.2147/CIA.S335315 |
work_keys_str_mv | AT lvchunxin comparisonofdifferentscoringsystemsforpredictionofmortalityandicuadmissioninelderlycappopulation AT chenyue comparisonofdifferentscoringsystemsforpredictionofmortalityandicuadmissioninelderlycappopulation AT shiwen comparisonofdifferentscoringsystemsforpredictionofmortalityandicuadmissioninelderlycappopulation AT panteng comparisonofdifferentscoringsystemsforpredictionofmortalityandicuadmissioninelderlycappopulation AT dengjinhai comparisonofdifferentscoringsystemsforpredictionofmortalityandicuadmissioninelderlycappopulation AT xujiayi comparisonofdifferentscoringsystemsforpredictionofmortalityandicuadmissioninelderlycappopulation |