Contribution of clinical severity and geriatric risk factors in predicting short-term mortality of older hospitalized pneumonia patients: the Pneumonia in Italian Acute Care for Elderly units (PIACE) study.
Clinical severity
Community-acquired pneumonia
Comprehensive geriatric assessment
Geriatric hospital wards
Journal
Aging clinical and experimental research
ISSN: 1720-8319
Titre abrégé: Aging Clin Exp Res
Pays: Germany
ID NLM: 101132995
Informations de publication
Date de publication:
Jun 2022
Jun 2022
Historique:
received:
23
05
2021
accepted:
27
12
2021
pubmed:
24
2
2022
medline:
3
6
2022
entrez:
23
2
2022
Statut:
ppublish
Résumé
Clinical severity of pneumonia in older persons increases the risk for short-term mortality. Comprehensive geriatric assessment (CGA) may provide further insight in prognostic stratification. To investigate whether CGA may improve prognostic stratification among older patients with pneumonia admitted to hospital. Our series consisted of 318 consecutive patients hospitalized for pneumonia in a multicenter observational study. Disease severity was assessed by Sequential Organ Failure Assessment (SOFA) and Pneumonia Severity Index (PSI). CGA included the occurrence of delirium, Basic Activities of Daily Living (BADL) disability, cognitive impairment at Short Portable Mental Status Questionnaire (SPMSQ) and overall comorbidity assessed by Cumulative Illness Rating Scale (CIRS). The outcomes were in-hospital and post-discharge 3 month mortality. Statistical analysis was carried out by Cox regression, area under receiver operating curve (AUC) and net reclassification index (NRI). Overall, 53 patients died during hospitalization and 52 after discharge. Delirium, SOFA score and admission BADL disability were significant predictors of in-hospital mortality. SOFA score, CIRS, previous long-term oxygen therapy and discharge BADL dependency significantly predicted post-discharge mortality. The accuracy of SOFA in predicting in-hospital and post-discharge mortality was fair (AUC = 0.685, 95% CI = 0.610-0.761 and AUC = 0.663, 95% CI = 0.593-0.734, respectively). BADL dependency and delirium improved predictive accuracy for in-hospital mortality (ΔAUC = 0.144, 95% CI = 0.062-0.227, p < 0.001), while pre-admission oxygen therapy, CIRS and BADL dependency improved predictivity for 3 month mortality (ΔAUC = 0.177, 95% CI = 0.102-0.252, p < 0.001). Among older pneumonia patients, prognostic stratification obtained by clinical severity indexes is significantly improved by CGA risk factors. CGA provides important information for prognostic stratification and clinical management of older pneumonia patients.
Sections du résumé
BACKGROUND
BACKGROUND
Clinical severity of pneumonia in older persons increases the risk for short-term mortality. Comprehensive geriatric assessment (CGA) may provide further insight in prognostic stratification.
AIMS
OBJECTIVE
To investigate whether CGA may improve prognostic stratification among older patients with pneumonia admitted to hospital.
METHODS
METHODS
Our series consisted of 318 consecutive patients hospitalized for pneumonia in a multicenter observational study. Disease severity was assessed by Sequential Organ Failure Assessment (SOFA) and Pneumonia Severity Index (PSI). CGA included the occurrence of delirium, Basic Activities of Daily Living (BADL) disability, cognitive impairment at Short Portable Mental Status Questionnaire (SPMSQ) and overall comorbidity assessed by Cumulative Illness Rating Scale (CIRS). The outcomes were in-hospital and post-discharge 3 month mortality. Statistical analysis was carried out by Cox regression, area under receiver operating curve (AUC) and net reclassification index (NRI).
RESULTS
RESULTS
Overall, 53 patients died during hospitalization and 52 after discharge. Delirium, SOFA score and admission BADL disability were significant predictors of in-hospital mortality. SOFA score, CIRS, previous long-term oxygen therapy and discharge BADL dependency significantly predicted post-discharge mortality. The accuracy of SOFA in predicting in-hospital and post-discharge mortality was fair (AUC = 0.685, 95% CI = 0.610-0.761 and AUC = 0.663, 95% CI = 0.593-0.734, respectively). BADL dependency and delirium improved predictive accuracy for in-hospital mortality (ΔAUC = 0.144, 95% CI = 0.062-0.227, p < 0.001), while pre-admission oxygen therapy, CIRS and BADL dependency improved predictivity for 3 month mortality (ΔAUC = 0.177, 95% CI = 0.102-0.252, p < 0.001).
DISCUSSION
CONCLUSIONS
Among older pneumonia patients, prognostic stratification obtained by clinical severity indexes is significantly improved by CGA risk factors.
CONCLUSIONS
CONCLUSIONS
CGA provides important information for prognostic stratification and clinical management of older pneumonia patients.
Identifiants
pubmed: 35195875
doi: 10.1007/s40520-021-02063-y
pii: 10.1007/s40520-021-02063-y
doi:
Substances chimiques
Oxygen
S88TT14065
Types de publication
Journal Article
Multicenter Study
Observational Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
1419-1427Investigateurs
Filippo Luca Fimognari
(FL)
Massimo Rizzo
(M)
Olga Cuccurullo
(O)
Giovanna Cristiano
(G)
Valentina Bambara
(V)
Andrea Arone
(A)
Andrea Corsonello
(A)
Bruno Mazzei
(B)
Giorgio Maiuri
(G)
Silvio Vena
(S)
Giovanni Ruotolo
(G)
Alfonso Merante
(A)
Giuliano Ceschia
(G)
Gabriele Toigo
(G)
Francesco Di Grezia
(F)
Immacolata Alviggi
(I)
Maurizio Luchetti
(M)
Rosa Maria Mereu
(RM)
Olga Catte
(O)
Vittoria Tibaldi
(V)
Alberto Ferrari
(A)
Luca Carpi
(L)
Maria Lia Lunardelli
(ML)
Pasquale Vizzo
(P)
Emilio Martini
(E)
Alfredo Zanatta
(A)
Giorgio Gasperini
(G)
Chiara Pavan
(C)
Francesco De Filippi
(F)
Michela Passamonte
(M)
Anna Nardelli
(A)
Sandra Visioli
(S)
Fabrizio Franchi
(F)
Marco Masina
(M)
Antonio Cherubini
(A)
Antonia Scrimieri
(A)
Demetrio Postacchini
(D)
Roberto Brunelli
(R)
Gianfranco Conati
(G)
Eleonora Ruberto
(E)
Alberto Pilotto
(A)
Mario Lo Storto
(ML)
Paolo Chioatto
(P)
Maria Rita Gulino
(MR)
Michele Pagano
(M)
Giovanna Crupi
(G)
Biagio Ierardi
(B)
Bruno Provenzano
(B)
Informations de copyright
© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.
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