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The Usefulness of the MEESSI Score for Risk Stratification of Patients With Acute Heart Failure at the Emergency Department

Abstract Introduction and objectives The MEESSI scale stratifies acute heart failure (AHF) patients at the emergency department (ED) according to the 30-day mortality risk. We validated the MEESSI risk score in a new cohort of Spanish patients to assess its accuracy in stratifying patients by risk a...

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Published in:Revista española de cardiología (English ed.) 2019-03, Vol.72 (3), p.198-207
Main Authors: Miró, Òscar, Rosselló, Xavier, Gil, Víctor, Martín-Sánchez, Francisco Javier, Llorens, Pere, Herrero, Pablo, Jacob, Javier, López-Grima, María Luisa, Gil, Cristina, Lucas Imbernón, Francisco Javier, Garrido, José Manuel, Pérez-Durá, María José, López-Díez, María Pilar, Richard, Fernando, Bueno, Héctor, Pocock, Stuart J
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cited_by cdi_FETCH-LOGICAL-c286t-8ef652aae9029019b5d3b9ffcfb0fc55aa6f4dc2b52b1b38576401ea2a2aad933
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container_title Revista española de cardiología (English ed.)
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creator Miró, Òscar
Rosselló, Xavier
Gil, Víctor
Martín-Sánchez, Francisco Javier
Llorens, Pere
Herrero, Pablo
Jacob, Javier
López-Grima, María Luisa
Gil, Cristina
Lucas Imbernón, Francisco Javier
Garrido, José Manuel
Pérez-Durá, María José
López-Díez, María Pilar
Richard, Fernando
Bueno, Héctor
Pocock, Stuart J
description Abstract Introduction and objectives The MEESSI scale stratifies acute heart failure (AHF) patients at the emergency department (ED) according to the 30-day mortality risk. We validated the MEESSI risk score in a new cohort of Spanish patients to assess its accuracy in stratifying patients by risk and to compare its performance in different settings. Methods We included consecutive patients diagnosed with AHF in 30 EDs during January and February 2016. The MEESSI score was calculated for each patient. The c-statistic measured the discriminatory capacity to predict 30-day mortality of the full MEESSI model and secondary models. Further comparisons were made among subgroups of patients from university and community hospitals, EDs with high-, medium- or low-activity and EDs that recruited or not patients in the original MEESSI derivation cohort. Results We analyzed 4711 patients (university/community hospitals: 3811/900; high-/medium-/low-activity EDs: 2695/1479/537; EDs participating/not participating in the previous MEESSI derivation study: 3892/819). The distribution of patients according to the MEESSI risk categories was: 1673 (35.5%) low risk, 2023 (42.9%) intermediate risk, 530 (11.3%) high risk and 485 (10.3%) very high risk, with 30-day mortality of 2.0%, 7.8%, 17.9%, and 41.4%, respectively. The c-statistic for the full model was 0.810 (95%CI, 0.790-0.830), ranging from 0.731 to 0.785 for the subsequent secondary models. The discriminatory capacity of the MEESSI risk score was similar among subgroups of hospital type, ED activity, and original recruiter EDs. Conclusions The MEESSI risk score successfully stratifies AHF patients at the ED according to the 30-day mortality risk, potentially helping clinicians in the decision-making process for hospitalizing patients.
doi_str_mv 10.1016/j.rec.2018.05.002
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We validated the MEESSI risk score in a new cohort of Spanish patients to assess its accuracy in stratifying patients by risk and to compare its performance in different settings. Methods We included consecutive patients diagnosed with AHF in 30 EDs during January and February 2016. The MEESSI score was calculated for each patient. The c-statistic measured the discriminatory capacity to predict 30-day mortality of the full MEESSI model and secondary models. Further comparisons were made among subgroups of patients from university and community hospitals, EDs with high-, medium- or low-activity and EDs that recruited or not patients in the original MEESSI derivation cohort. Results We analyzed 4711 patients (university/community hospitals: 3811/900; high-/medium-/low-activity EDs: 2695/1479/537; EDs participating/not participating in the previous MEESSI derivation study: 3892/819). The distribution of patients according to the MEESSI risk categories was: 1673 (35.5%) low risk, 2023 (42.9%) intermediate risk, 530 (11.3%) high risk and 485 (10.3%) very high risk, with 30-day mortality of 2.0%, 7.8%, 17.9%, and 41.4%, respectively. The c-statistic for the full model was 0.810 (95%CI, 0.790-0.830), ranging from 0.731 to 0.785 for the subsequent secondary models. The discriminatory capacity of the MEESSI risk score was similar among subgroups of hospital type, ED activity, and original recruiter EDs. Conclusions The MEESSI risk score successfully stratifies AHF patients at the ED according to the 30-day mortality risk, potentially helping clinicians in the decision-making process for hospitalizing patients.</description><identifier>ISSN: 1885-5857</identifier><identifier>EISSN: 1885-5857</identifier><identifier>DOI: 10.1016/j.rec.2018.05.002</identifier><identifier>PMID: 29903688</identifier><language>eng ; spa</language><publisher>Spain</publisher><subject>Acute Disease ; Aged ; Aged, 80 and over ; Cardiovascular ; Echocardiography ; Emergency Service, Hospital - standards ; Female ; Heart Failure - diagnosis ; Heart Failure - epidemiology ; Hospital Mortality - trends ; Humans ; Incidence ; Internal Medicine ; Male ; Registries ; Retrospective Studies ; Risk Assessment - methods ; Risk Factors ; Severity of Illness Index ; Spain - epidemiology ; Survival Rate - trends</subject><ispartof>Revista española de cardiología (English ed.), 2019-03, Vol.72 (3), p.198-207</ispartof><rights>Sociedad Española de Cardiología</rights><rights>Copyright © 2018 Sociedad Española de Cardiología. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c286t-8ef652aae9029019b5d3b9ffcfb0fc55aa6f4dc2b52b1b38576401ea2a2aad933</citedby><cites>FETCH-LOGICAL-c286t-8ef652aae9029019b5d3b9ffcfb0fc55aa6f4dc2b52b1b38576401ea2a2aad933</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29903688$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Miró, Òscar</creatorcontrib><creatorcontrib>Rosselló, Xavier</creatorcontrib><creatorcontrib>Gil, Víctor</creatorcontrib><creatorcontrib>Martín-Sánchez, Francisco Javier</creatorcontrib><creatorcontrib>Llorens, Pere</creatorcontrib><creatorcontrib>Herrero, Pablo</creatorcontrib><creatorcontrib>Jacob, Javier</creatorcontrib><creatorcontrib>López-Grima, María Luisa</creatorcontrib><creatorcontrib>Gil, Cristina</creatorcontrib><creatorcontrib>Lucas Imbernón, Francisco Javier</creatorcontrib><creatorcontrib>Garrido, José Manuel</creatorcontrib><creatorcontrib>Pérez-Durá, María José</creatorcontrib><creatorcontrib>López-Díez, María Pilar</creatorcontrib><creatorcontrib>Richard, Fernando</creatorcontrib><creatorcontrib>Bueno, Héctor</creatorcontrib><creatorcontrib>Pocock, Stuart J</creatorcontrib><title>The Usefulness of the MEESSI Score for Risk Stratification of Patients With Acute Heart Failure at the Emergency Department</title><title>Revista española de cardiología (English ed.)</title><addtitle>Rev Esp Cardiol (Engl Ed)</addtitle><description>Abstract Introduction and objectives The MEESSI scale stratifies acute heart failure (AHF) patients at the emergency department (ED) according to the 30-day mortality risk. We validated the MEESSI risk score in a new cohort of Spanish patients to assess its accuracy in stratifying patients by risk and to compare its performance in different settings. Methods We included consecutive patients diagnosed with AHF in 30 EDs during January and February 2016. The MEESSI score was calculated for each patient. The c-statistic measured the discriminatory capacity to predict 30-day mortality of the full MEESSI model and secondary models. Further comparisons were made among subgroups of patients from university and community hospitals, EDs with high-, medium- or low-activity and EDs that recruited or not patients in the original MEESSI derivation cohort. Results We analyzed 4711 patients (university/community hospitals: 3811/900; high-/medium-/low-activity EDs: 2695/1479/537; EDs participating/not participating in the previous MEESSI derivation study: 3892/819). The distribution of patients according to the MEESSI risk categories was: 1673 (35.5%) low risk, 2023 (42.9%) intermediate risk, 530 (11.3%) high risk and 485 (10.3%) very high risk, with 30-day mortality of 2.0%, 7.8%, 17.9%, and 41.4%, respectively. The c-statistic for the full model was 0.810 (95%CI, 0.790-0.830), ranging from 0.731 to 0.785 for the subsequent secondary models. The discriminatory capacity of the MEESSI risk score was similar among subgroups of hospital type, ED activity, and original recruiter EDs. 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We validated the MEESSI risk score in a new cohort of Spanish patients to assess its accuracy in stratifying patients by risk and to compare its performance in different settings. Methods We included consecutive patients diagnosed with AHF in 30 EDs during January and February 2016. The MEESSI score was calculated for each patient. The c-statistic measured the discriminatory capacity to predict 30-day mortality of the full MEESSI model and secondary models. Further comparisons were made among subgroups of patients from university and community hospitals, EDs with high-, medium- or low-activity and EDs that recruited or not patients in the original MEESSI derivation cohort. Results We analyzed 4711 patients (university/community hospitals: 3811/900; high-/medium-/low-activity EDs: 2695/1479/537; EDs participating/not participating in the previous MEESSI derivation study: 3892/819). The distribution of patients according to the MEESSI risk categories was: 1673 (35.5%) low risk, 2023 (42.9%) intermediate risk, 530 (11.3%) high risk and 485 (10.3%) very high risk, with 30-day mortality of 2.0%, 7.8%, 17.9%, and 41.4%, respectively. The c-statistic for the full model was 0.810 (95%CI, 0.790-0.830), ranging from 0.731 to 0.785 for the subsequent secondary models. The discriminatory capacity of the MEESSI risk score was similar among subgroups of hospital type, ED activity, and original recruiter EDs. Conclusions The MEESSI risk score successfully stratifies AHF patients at the ED according to the 30-day mortality risk, potentially helping clinicians in the decision-making process for hospitalizing patients.</abstract><cop>Spain</cop><pmid>29903688</pmid><doi>10.1016/j.rec.2018.05.002</doi><tpages>10</tpages></addata></record>
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source ScienceDirect Journals
subjects Acute Disease
Aged
Aged, 80 and over
Cardiovascular
Echocardiography
Emergency Service, Hospital - standards
Female
Heart Failure - diagnosis
Heart Failure - epidemiology
Hospital Mortality - trends
Humans
Incidence
Internal Medicine
Male
Registries
Retrospective Studies
Risk Assessment - methods
Risk Factors
Severity of Illness Index
Spain - epidemiology
Survival Rate - trends
title The Usefulness of the MEESSI Score for Risk Stratification of Patients With Acute Heart Failure at the Emergency Department
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