11
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Plano de análise estatística de um ensaio clínico randomizado em cluster em unidades de terapia intensiva geral adulto no Brasil: TELE-critical care verSus usual Care On ICU PErformance (TELESCOPE) Translated title: Statistical analysis of a cluster-randomized clinical trial on adult general intensive care units in Brazil: TELE-critical care verSus usual Care On ICU PErformance (TELESCOPE) trial

      research-article
      , , , , , , , , , , , , , , , ,
      Revista Brasileira de Terapia Intensiva
      Associação de Medicina Intensiva Brasileira - AMIB
      Tempo de internação, Equipe de assistência ao paciente, Projeto de pesquisa, Interpretação estatística de dados, Telemedicina, Mortalidade hospitalar, Cuidados críticos, Unidades de terapia intensiva, Brasil, Length of stay, Patient care team, Research design, Data interpretation, statistical, Telemedicine, Hospital mortality, Critical care, Intensive care units, Brazil

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          RESUMO Objetivo: O ensaio TELE-critical Care verSus usual Care On ICU PErformance (TELESCOPE) visa avaliar se uma intervenção complexa por telemedicina em unidades de terapia intensiva, que se concentra em rondas multidisciplinares diárias realizadas por intensivistas a distância, reduzirá o tempo de permanência na unidade de terapia intensiva em comparação com os cuidados habituais. Métodos: O TELESCOPE é um ensaio nacional, multicêntrico, controlado, aberto, randomizado em cluster. O estudo testa a eficácia de rondas multidisciplinares diárias realizadas por um intensivista por meio de telemedicina em unidades de terapia intensiva brasileiras. O protocolo foi aprovado pelo Comitê de Ética em Pesquisa local do centro coordenador do estudo e pelo Comitê de Ética em Pesquisa local de cada uma das 30 unidades de terapia intensiva, de acordo com a legislação brasileira. O ensaio está registado no ClinicalTrials.gov (NCT03920501). O desfecho primário é o tempo de internação na unidade de terapia intensiva, que será analisado considerando o período basal e a estrutura dos dados em cluster, sendo ajustado por covariáveis predefinidas. Os desfechos exploratórios secundários incluem a classificação de desempenho da unidade de terapia intensiva, a mortalidade hospitalar, a incidência de infecções nosocomiais, o número de dias sem ventilação mecânica aos 28 dias, a taxa de pacientes que recebem alimentação oral ou enteral, a taxa de pacientes sob sedação leve ou em alerta e calmos e a taxa de pacientes sob normoxemia. Conclusão: De acordo com as melhores práticas do ensaio, divulgamos nossa análise estatística antes de bloquear a base de dados e iniciar as análises. Esperamos que essa prática de notificação evite o viés das análises e aprimore a interpretação dos resultados apresentados. Registro no ClinicalTrials.gov:NCT03920501

          Translated abstract

          ABSTRACT Objective: The TELE-critical Care verSus usual Care On ICU PErformance (TELESCOPE) trial aims to assess whether a complex telemedicine intervention in intensive care units, which focuses on daily multidisciplinary rounds performed by remote intensivists, will reduce intensive care unit length of stay compared to usual care. Methods: The TELESCOPE trial is a national, multicenter, controlled, open label, cluster randomized trial. The study tests the effectiveness of daily multidisciplinary rounds conducted by an intensivist through telemedicine in Brazilian intensive care units. The protocol was approved by the local Research Ethics Committee of the coordinating study center and by the local Research Ethics Committee from each of the 30 intensive care units, following Brazilian legislation. The trial is registered with ClinicalTrials. gov (NCT03920501). The primary outcome is intensive care unit length of stay, which will be analyzed accounting for the baseline period and cluster structure of the data and adjusted by prespecified covariates. Secondary exploratory outcomes included intensive care unit performance classification, in-hospital mortality, incidence of nosocomial infections, ventilator-free days at 28 days, rate of patients receiving oral or enteral feeding, rate of patients under light sedation or alert and calm, and rate of patients under normoxemia. Conclusion: According to the trial’s best practice, we report our statistical analysis prior to locking the database and beginning analyses. We anticipate that this reporting practice will prevent analysis bias and improve the interpretation of the reported results. ClinicalTrials.gov registration:NCT03920501

          Related collections

          Most cited references36

          • Record: found
          • Abstract: found
          • Article: not found
          Is Open Access

          Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

          Most studies have some missing data. Jonathan Sterne and colleagues describe the appropriate use and reporting of the multiple imputation approach to dealing with them
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            SAPS 3—From evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission

            Objective To develop a model to assess severity of illness and predict vital status at hospital discharge based on ICU admission data. Design Prospective multicentre, multinational cohort study. Patients and setting A total of 16,784 patients consecutively admitted to 303 intensive care units from 14 October to 15 December 2002. Measurements and results ICU admission data (recorded within ±1 h) were used, describing: prior chronic conditions and diseases; circumstances related to and physiologic derangement at ICU admission. Selection of variables for inclusion into the model used different complementary strategies. For cross-validation, the model-building procedure was run five times, using randomly selected four fifths of the sample as a development- and the remaining fifth as validation-set. Logistic regression methods were then used to reduce complexity of the model. Final estimates of regression coefficients were determined by use of multilevel logistic regression. Variables selection and weighting were further checked by bootstraping (at patient level and at ICU level). Twenty variables were selected for the final model, which exhibited good discrimination (aROC curve 0.848), without major differences across patient typologies. Calibration was also satisfactory (Hosmer-Lemeshow goodness-of-fit test Ĥ=10.56, p=0.39, Ĉ=14.29, p=0.16). Customised equations for major areas of the world were computed and demonstrate a good overall goodness-of-fit. Conclusions The SAPS 3 admission score is able to predict vital status at hospital discharge with use of data recorded at ICU admission. Furthermore, SAPS 3 conceptually dissociates evaluation of the individual patient from evaluation of the ICU and thus allows them to be assessed at their respective reference levels. Electronic Supplementary Material Electronic supplementary material is included in the online fulltext version of this article and accessible for authorised users: http://dx.doi.org/10.1007/s00134-005-2763-5
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Consort 2010 statement: extension to cluster randomised trials

                Bookmark

                Author and article information

                Journal
                rbti
                Revista Brasileira de Terapia Intensiva
                Rev. bras. ter. intensiva
                Associação de Medicina Intensiva Brasileira - AMIB (São Paulo, SP, Brazil )
                0103-507X
                1982-4335
                March 2022
                : 34
                : 1
                : 87-95
                Affiliations
                [3] São Paulo São Paulo orgnameHospital Israelita Albert Einstein orgdiv1Departamento de Cuidados Críticos em Medicina Brazil
                [5] Lavras Minas Gerais orgnameUniversidade Federal de Lavras orgdiv1Programa de Pós-Graduação em Ciências da Saúde Brazil
                [15] Melbourne Victoria orgnameMonash University orgdiv1School of Public Health and Preventive Medicine orgdiv2Centro de Pesquisa Australiano e Neozelandês em Terapia Intensiva Australia
                [10] Porto Alegre Rio Grande do Sul orgnameHospital Moinhos de Vento orgdiv1Departamento de Cuidados Críticos Brazil
                [13] São Paulo São Paulo orgnameUniversidade de São Paulo orgdiv1Departamento de Medicina de Emergência Brazil
                [9] São Paulo SP orgnameHCor-Hospital do Coração orgdiv1Instituto de Pesquisa Brasil
                [2] Barcelona orgnameBarcelona Institute for Global Health Espanha
                [4] São Paulo São Paulo orgnameHospital Israelita Albert Einstein orgdiv1Departamento de Telemedicina Brazil
                [14] São Paulo SP orgnameHospital SírioLibanês orgdiv1Instituto de Ensino e Pesquisa Brasil
                [1] São Paulo São Paulo orgnameUniversidade de São Paulo orgdiv1Faculdade de Medicina orgdiv2Hospital das Clínicas Brazil
                [6] São Paulo SP orgnameRede Brasileira de Pesquisa em Terapia Intensiva (BRICNet) Brasil
                [11] Brasília DF orgnameInstituto de Cardiologia do Distrito Federal Brasil
                [7] São Paulo São Paulo orgnameHospital Israelita Albert Einstein orgdiv1Organização de Pesquisa Acadêmica Brazil
                [12] Rio de Janeiro RJ orgnameInstituto D’Or de Pesquisa e Ensino Brasil
                [8] São Paulo São Paulo orgnameHospital Israelita Albert Einstein orgdiv1Instituto da Responsabilidade Social Brazil
                Article
                S0103-507X2022000100087 S0103-507X(22)03400100087
                10.5935/0103-507x.20220003-pt
                5c167153-c4b3-4bf4-9b33-958699681227

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 13 November 2021
                : 03 October 2021
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 36, Pages: 9
                Product

                SciELO Brazil

                Categories
                Artigo Especial

                Brazil,Tempo de internação,Equipe de assistência ao paciente,Projeto de pesquisa,Interpretação estatística de dados,Telemedicina,Mortalidade hospitalar,Cuidados críticos,Unidades de terapia intensiva,Brasil,Length of stay,Patient care team,Research design,Data interpretation, statistical,Telemedicine,Hospital mortality,Critical care,Intensive care units

                Comments

                Comment on this article