DANIEL NEVES FORTE
Projetos de Pesquisa
Unidades Organizacionais
Instituto Central, Hospital das Clínicas, Faculdade de Medicina - Médico
LIM/51 - Laboratório de Emergências Clínicas, Hospital das Clínicas, Faculdade de Medicina
LIM/51 - Laboratório de Emergências Clínicas, Hospital das Clínicas, Faculdade de Medicina
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- A decision-aid tool for ICU admission triage is associated with a reduction in potentially inappropriate intensive care unit admissions(2019) RAMOS, Joao Gabriel Rosa; RANZANI, Otavio T.; PERONDI, Beatriz; DIAS, Roger Daglius; JONES, Daryl; CARVALHO, Carlos Roberto Ribeiro; VELASCO, Irineu Tadeu; FORTE, Daniel NevesPurpose: Intensive care unit (ICU) admission triage occurs frequently and often involves highly subjective decisions that may lead to potentially inappropriate ICU admissions. In this study, we evaluated the effect of implementing a decision-aid tool for ICU triage on ICU admission decisions. Methods: This was a prospective, before-after study. Urgent ICU referrals to ten ICUs in a tertiary hospital in Brazil were assessed before and after the implementation of the decision-aid tool. Our primary outcome was the proportion of potentially inappropriate ICU referrals (defined as priority 4B or 5 referrals, accordingly to the Society of Critical Care Medicine guidelines of 1999 and 2016, respectively) admitted to the ICU within 48 h. We conducted multivariate analyses to adjust for potential confounders and evaluated the interaction between phase and triage priority. Results: Of the 2201 patients analyzed, 1184 (53.8%) patients were admitted to the ICU. After adjustment for confounders, implementation of the decision-aid tool was associated with a reduction in potentially inappropriate ICU admissions using either the 1999 [adjOR (95% CI) = 0.36 (0.13-0.97)] or 2016 [adjOR (95%CI) = 0.35 (0.13-0.96)] definitions. Conclusion: Implementation of a decision-aid tool for ICU triage was associated with a reduction in potentially inappropriate ICU admissions. (C) 2019 Published by Elsevier Inc.
- Development of an algorithm to aid triage decisions for intensive care unit admission: a clinical vignette and retrospective cohort study(2016) RAMOS, Joao Gabriel Rosa; PERONDI, Beatriz; DIAS, Roger Daglius; MIRANDA, Leandro Costa; COHEN, Claudio; CARVALHO, Carlos Roberto Ribeiro; VELASCO, Irineu Tadeu; FORTE, Daniel NevesBackground: Intensive care unit (ICU) admission triage is performed routinely and is often based solely on clinical judgment, which could mask biases. A computerized algorithm to aid ICU triage decisions was developed to classify patients into the Society of Critical Care Medicine's prioritization system. In this study, we sought to evaluate the reliability and validity of this algorithm. Methods: Nine senior physicians evaluated forty clinical vignettes based on real patients. The reference standard was defined as the priorities ascribed by two investigators with full access to patients' records. Agreement of algorithm-based priorities with the reference standard and with intuitive priorities provided by the physicians were evaluated. Correlations between algorithm prioritization and physicians' judgment of the appropriateness of ICU admissions in scarcity and nonscarcity settings were also evaluated. Validity was further assessed by retrospectively applying this algorithm to 603 patients with requests for ICU admission for association with clinical outcomes. Results: Agreement between algorithm-based priorities and the reference standard was substantial, with a median kappa of 0.72 (interquartile range [IQR] 0.52-0.77). Algorithm-based priorities demonstrated higher interrater reliability (overall kappa 0.61, 95 % confidence interval [CI] 0.57-0.65; median percentage agreement 0.64, IQR 0.59-0.70) than physicians' intuitive prioritization (overall kappa 0.51, 95 % CI 0.47-0.55; median percentage agreement 0.49, IQR 0.44-0.56) (p = 0.001). Algorithm-based priorities were also associated with physicians' judgment of appropriateness of ICU admission (priorities 1, 2, 3, and 4 vignettes would be admitted to the last ICU bed in 83.7 %, 61.2 %, 45.2 %, and 16.8 % of the scenarios, respectively; p < 0.001) and with actual ICU admission, palliative care consultation, and hospital mortality in the retrospective cohort. Conclusions: This ICU admission triage algorithm demonstrated good reliability and validity. However, more studies are needed to evaluate a difference in benefit of ICU admission justifying the admission of one priority stratum over the others.
- The impact of obesity in hospitalized patients with COVID-19: a retrospective cohort study(2024) CARRA, Fabio Alfano; MELO, Maria Edna de; STUMPF, Matheo A. M.; CERCATO, Cintia; FERNANDES, Ariana E.; MANCINI, Marcio C.; HIROTA, Adriana; KANASIRO, Alberto Kendy; CRESCENZI, Alessandra; FERNANDES, Amanda Coelho; MIETHKE-MORAIS, Anna; BELLINTANI, Arthur Petrillo; CANASIRO, Artur Ribeiro; CARNEIRO, Barbara Vieira; ZANBON, Beatriz Keiko; PINHEIRO, Bernardo; BATISTA, Senna Nogueira; NICOLAO, Bianca Ruiz; BESEN, Bruno Adler Maccagnan Pinheiro; BISELLI, Bruno; MACEDO, Bruno Rocha De; TOLEDO, Caio Machado Gomes De; CARVALHO, Carlos Roberto Ribeiro De; MOL, Caroline Gomes; STIPANICH, Cassio; BUENO, Caue Gasparotto; GARZILLO, Cibele; TANAKA, Clarice; FORTE, Daniel Neves; JOELSONS, Daniel; ROBIRA, Daniele; COSTA, Eduardo Leite Vieira; SILVA JUNIOR, Elson Mendes Da; REGALIO, Fabiane Aliotti; SEGURA, Gabriela Cardoso; LOURO, Giulia Sefrin; MARCELINO, Gustavo Brasil; HO, Yeh-Li; FERREIRA, Isabela Argollo; GOIS, Jeison Oliveira; SILVA-JR, Joao Manoel Da; JUNIOR, Jose Otto Reusing; RIBEIRO, Julia Fray; FERREIRA, Juliana Carvalho; GALLETI, Karine Vusberg; SILVA, Katia Regina; ISENSEE, Larissa Padrao; OLIVEIRA, Larissa Santos; TANIGUCHI, Leandro Utino; LETAIF, Leila Suemi; LIMA, Ligia Trombetta; PARK, Lucas Yongsoo; NETTO, Lucas Chaves; NOBREGA, Luciana Cassimiro; HADDAD, Luciana Bertocco Paiva; HAJJAR, Ludhmila Abrahao; MALBOUISSON, Luiz Marcelo Sa; PANDOLFI, Manuela Cristina Adsuara; PARK, Marcelo; CARMONA, Maria Jose Carvalho; ANDRADE, Maria Castilho Prandini H.; SANTOS, Mariana Moreira; BATELOCHE, Matheus Pereira; SUIAMA, Mayra Akimi; OLIVEIRA, Mayron Faria de; SOUSA, Mayson Laercio; GARCIA, Michelle Louvaes; HUEMER, Natassja; MENDES, Pedro Vitale; LINS, Paulo Ricardo Gessolo; SANTOS, Pedro Gaspar Dos; MOREIRA, Pedro Ferreira Paiva; GUAZZELLI, Renata Mello; REIS, Renato Batista Dos; DALTRO-OLIVEIRA, Renato; ROEPKE, Roberta Muriel Longo; PEDRO, Rodolpho Augusto Moura; KONDO, Rodrigo; RACHED, Samia Zahi; FONSECA, Sergio Roberto Silveira Da; BORGES, Thais Sousa; FERREIRA, Thalissa; JUNIOR, Vilson Cobello; SALES, Vivian Vieira Tenorio; FERREIRA, Willaby Serafim CassaBackground Obesity is believed to be a risk factor for COVID-19 and unfavorable outcomes, although data on this remains to be better elucidated.Objective To evaluate the impact of obesity on the endpoints of patients hospitalized due to SARS-CoV-2.Methods This retrospective cohort study evaluated patients hospitalized at a tertiary hospital (Hospital das Cl & iacute;nicas da Faculdade de Medicina da USP) from March to December 2020. Only patients positive for COVID-19 (real-time PCR or serology) were included. Data were collected from medical records and included clinical and demographic information, weight and height, SAPS-3 score, comorbidities, and patient-centered outcomes (mortality, and need for mechanical ventilation, renal replacement therapy, or vasoactive drugs). Patients were divided into categories according to their BMI (underweight, eutrophic, overweight and obesity) for comparison porpoise.Results A total of 2547 patients were included. The mean age was 60.3 years, 56.2% were men, 65.2% were white and the mean BMI was 28.1 kg/m(2). SAPS-3 score was a risk factor for all patient-centered outcomes (HR 1.032 for mortality, OR 1.03 for dialysis, OR 1.07 for vasoactive drug use, and OR 1.08 for intubation, p < 0.05). Male sex increased the risk of death (HR 1.175, p = 0.027) and dialysis (OR 1.64, p < 0.001), and underweight was protective for vasoactive drug use (OR 0.45, p = 0.027) and intubation (OR 0.31, p < 0.003).Conclusion Obesity itself was not an independent factor for worse patient-centered outcomes. Critical clinical state (indirectly evaluated by SAPS-3) appears to be the most important variable related to hard outcomes in patients infected with COVID-19.