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1. Rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART): study protocol for a randomized controlled trial

Author

Cavalcanti, AB, Berwanger, O, Suzumura, ÉA, Amato, MB, Tallo, FS, Rezende, AC, Telles, MM, Romano, E, Guimarães, HP, Regenga, MM, Takahashi, LN, Oliveira, RP, Carvalho, VO, Díaz Quijano, FA, Carvalho, CR, Kodama, AA, Ribeiro, GF, Abreu, MO, Oliveira, IM, Guyatt, G, Ferguson, N, Walter, S, Vasconcelos, MO, Segundo, VJ, Ferraz, ÍL, Silva, RS, de Oliveira Filho, W, Silva, NB, Heirel, C, Takatani, RR, Neto, JA, Neto, JC, Almeida, SD, Chamy, G, Neto, GJ, Dias, AP, Silva, RR, Tavares, RC, Souza, ML, Decio, JC, Lima, CM, Neto, FF, Oliveira, KR, Dias, PP, Brandão, AL, Ramos, JE Jr, Vasconcelos, PT, Flôres, DG, Filho, GR, Andrade, IG, Martinez, A, França, GG, Monteiro, LL, Correia, EI, Ribeiro, W, Pereira, AJ, Andrade, W, Leite, PA, Feto, JE, Holanda, MA, Amorim, FF, Margalho, SB, Domingues, SM Jr, Ferreira, CS, Ferreira, CM, Rabelo, LA, Duarte, JN, Lima, FB, Kawaguchi, IA, Maia, MO, Correa, FG, Ribeiro, RA, Caser, E, Moreira, CL, Marcilino, A, Falcão, JG, Jesus, KR, Tcherniakovisk, L, Dutra, VG, Thompson, MM, Piras, C, Giuberti, J. Jr, Silva, AS, Santos, JR, Potratz, JL, Paula, LN, Bozi, GG, Gomes, BC, Vassallo, PF, Rocha, E, Lima, MH, Ferreira, A. F, Gonçalves, F, Pereira, SA, Nobrega, MS, Caixeta, CR, Moraes, AP, Carvalho, AG, Alves, JD, Carvalho, FB, Moreira, FB, Starling, CM, Couto, WA, Bitencourt, WS, Silva, SG, Felizardo, LR, Nascimento, FJ, Santos, D, Zanta, CC, Martins, MF, Naves, SA, Silva, FD, Laube, G. Jr, Galvão, EL, Sousa, MF, Souza, MM, Carvalho, FL, Bergo, RR, Rezende, CM, Tamazato, EY, Sarat, SC Jr, Almeida, PS, Gorski, AG, Matsui, M, Neto, EE, Nomoto, SH, Lima, ZB, Inagaki, AS, Gil, FS, Araújo, MF, Oliveira, AE, Correa, TA, Mendonça, A, Reis, H, Carneiro, SR, Rego, LR, Cunha, AF, Barra, WF, Carneiro, M, Batista, RA, Zoghbi, KK, Machado, NJ, Ferreira, R, Apoena, P, Leão, RM, Martins, ER, Oliveira, ME, Odir, I, Kleber, W, Tavares, D, Araújo, ME, Brilhante, YN, Tavares, DC, Carvalho, WL, Winveler, GF, Filho, AC, Cavalcanti, RA, Grion, CM, Reis, AT, Festti, J, Gimenez, FM, Larangeira, AS, Cardoso, LT, Mezzaroba, TS, Kauss, IA, Duarte, PA, Tozo, TC, Peliser, P, Germano, A, Gurgel, SJ, Silva, SR, Kuroda, CM, Herek, A, Yamada, SS, Schiavetto, PM, Wysocki, N, Matsubara, RR, Sales, JA Jr, Laprovita, MP, Pena, FM, Sá, A, Vianna, A, Verdeal, JC, Martins, GA, Salgado, DR, Coelho, AM, Coelho, M, Morong, AS, Poquiriqui, RM, Ferreira, AP, Lucena, DN, Marino, NF, Moreira, MA, Uratani, CC, Severino, MA, Silva, PN, Medeiros, LG, Filho, FG, Guimarães, DM, Rezende, VM, Carbonell, RC, Trindade, RS, Pellegrini, JA, Boniatti, MM, Santos, MC, Boldo, R, Oliveira, VM, Corrêa, VM, Nedel, W, Teixeira, C, Schaich, F, Tagliari, L, Savi, A, Schulz, LF, Maccari, JG, Seeger, GM, Foernges, RB, Rieder, MM, Becker, DA, Broilo, FP, Schwarz, P, Alencastro, A, Berto, P, Backes, F, Dias, FS, Blattner, C, Martins, ET, Scaglia, NC, Vieira, SR, Prado, KF, Fialkow, L, Franke, C, Vieira, DF, Moraes, RB, Marques, LS, Hopf, JL, Wawrzeniak, IC, Rech, TH, Albuquerque, RB, Guerreiro, MO, Teixeira, LO, Macedo, PL, Bainy, MP, Ferreira, EV, Martins, MA, Andrade, LA, Machado, FO, Burigo, AC, Pincelli, M, Kretzer, L, Maia, IS, Cordeiro, RB, Westphal, G, Cramer, AS, Dadam, MM, Barbosa, PO, Caldeira, M, Brilenger, CO, Horner, MB, Oliveira, GL, Germiniani, BC, Duarte, R, Assef, MG, Rosso, D, Bigolin, R, Vanzuita, R, Prado, LF, Oliveira, V, Reis, DL, Morais, MO, Bastos, RS, Santana, HS, Silva, AO, Cacau, LA, Almeida, MS, Canavessi, HS, Nogueira, EE, Pavia, CL, Araujo, JF, Lira, JA, Nienstedt, EC, Smith, TC, Romano, M, Barros D, Costa, AF, Takahashi, L, Werneck, V, Farran, J, Henriques, LA, Miura, C, Lopes, RD, Vendrame, LS, Sandri, P, Galassi, MS, Amato, P, Toufen, C. Jr, Santiago, RR, Hirota, AS, Park, M, Azevedo, LC, Malbouison, LM, Costa, MC, Taniguchi, L, Pompílio, CE, Baruzzi, C, Andrade, AH, Taira, EE, Taino, B, Oliveira, CS, Silva, AC, Ísola, A, Rezende, E, Rodrigues, RG, Rangel, VP, Luzzi, S, Giacomassi, IW, Nassar, AP Jr, Souza, AR, Rahal, L, Nunes, AL, Giannini, F, Menescal, B, Morais, JE, Toledo, D, Morsch, RD, Merluzzi, T, Amorim, DS, Bastos, AC, Santos, PL, Silva, SF, Gallego, RC, Santos, GD, Tucci, M, Costa, RT, Santos, LS, Demarzo, SE, Schettino, GP, Suzuki, VC, Patrocinio, AC, Martins, ML, Passos, DB, Cappi, SB, Gonçalves, I. Jr, Borges, MC, Lovato, W, Tavares, MV, Morales, D, Machado, LA, Torres, FC, Gomes, TM, Cerantola, RB, Góis, A, Marraccini, T, Margarida, K, Cavalcante, E, Machado, FR, Mazza, BF, Santana, HB, Mendez, VM, Xavier, PA, Rabelo, MV, Schievano, FR, Pinto, WA, Francisco, RS, Ferreira, EM, Silva, DC, Arduini, RG, Aldrighi, JR, Amaro, AF, Conde, KA, Pereira, CA, Tarkieltaub, E, Oliver, WR, Guadalupe, EG, Acerbi, PS, Tomizuka, CI, Oliveira, TA, Geha, NN, Mecatti, GC, Piovesan, MZ, Salomão, MC, Moreno, MS, Orsatti, VN, Miranda, W, Ray, A, Guerra, A, Filho, ML, Ferreira, FH Jr, Filho, EV, Canzi, RA, Giuberti, AF, Garcez, MC, Sala, AD, Suguitani, EO, Kazue, P, Oliveira, LR, Infantini, RM, Carvalho, FR, Andrade, LC, Santos, TM, Carmona, CV, Figueiredo, LC, Falcão, A, Dragosavak, D, Filho, WN, Lunardi, MC, Lago, R, Gatti, C, Chiasso, TM, Santos, GO, Araujo, AC, Ornellas, IB, Vieira, VM, Hajjar, LA, Figueiredo, AC, Damasceno, B, Hinestrosa, A, Diaz Quijano, FA, CORTEGIANI, Andrea, RAINERI, Santi Maurizio, Cavalcanti, AB, Berwanger, O, Suzumura, ÉA, Amato, MB, Tallo, FS, Rezende, AC, Telles, MM, Romano, E, Guimarães, HP, Regenga, MM, Takahashi, LN, Oliveira, RP, Carvalho, VO, Díaz-Quijano, FA, Carvalho, CR, Kodama, AA, Ribeiro, GF, Abreu, MO, Oliveira, IM, Guyatt, G, Ferguson, N, Walter, S, Vasconcelos, MO, Segundo, VJ, Ferraz, ÍL, Silva, RS, de Oliveira Filho, W, Silva, NB, Heirel, C, Takatani, RR, Neto, JA, Neto, JC, Almeida, SD, Chamy, G, Neto, GJ, Dias, AP, Silva, RR, Tavares, RC, Souza, ML, Decio, JC, Lima, CM, Neto, FF, Oliveira, KR, Dias, PP, Brandão, AL, Ramos, JE Jr, Vasconcelos, PT, Flôres, DG, Filho, GR, Andrade, IG, Martinez, A, França, GG, Monteiro, LL, Correia, EI, Ribeiro, W, Pereira, AJ, Andrade, W, Leite, PA, Feto, JE, Holanda, MA, Amorim, FF, Margalho, SB, Domingues, SM Jr, Ferreira, CS, Ferreira, CM, Rabelo, LA, Duarte, JN, Lima, FB, Kawaguchi, IA, Maia, MO, Correa, FG, Ribeiro, RA, Caser, E, Moreira, CL, Marcilino, A, Falcão, JG, Jesus, KR, Tcherniakovisk, L, Dutra, VG, Thompson, MM, Piras, C, Giuberti, J Jr, Silva, AS, Santos, JR, Potratz, JL, Paula, LN, Bozi, GG, Gomes, BC, Vassallo, PF, Rocha, E, Lima, MH, Ferreira, A F, Gonçalves, F, Pereira, SA, Nobrega, MS, Caixeta, CR, Moraes, AP, Carvalho, AG, Alves, JD, Carvalho, FB, Moreira, FB, Starling, CM, Couto, WA, Bitencourt, WS, Silva, SG, Felizardo, LR, Nascimento, FJ, Santos, D, Zanta, CC, Martins, MF, Naves, SA, Silva, FD, Laube, G Jr, Galvão, EL, Sousa, MF, Souza, MM, Carvalho, FL, Bergo, RR, Rezende, CM, Tamazato, EY, Sarat, SC Jr, Almeida, PS, Gorski, AG, Matsui, M, Neto, EE, Nomoto, SH, Lima, ZB, Inagaki, AS, Gil, FS, Araújo, MF, Oliveira, AE, Correa, TA, Mendonça, A, Reis, H, Carneiro, SR, Rego, LR, Cunha, AF, Barra, WF, Carneiro, M, Batista, RA, Zoghbi, KK, Machado, NJ, Ferreira, R, Apoena, P, Leão, RM, Martins, ER, Oliveira, ME, Odir, I, Kleber, W, Tavares, D, Araújo, ME, Brilhante, YN, Tavares, DC, Carvalho, WL, Winveler, GF, Filho, AC, Cavalcanti, RA, Grion, CM, Reis, AT, Festti, J, Gimenez, FM, Larangeira, AS, Cardoso, LT, Mezzaroba, TS, Kauss, IA, Duarte, PA, Tozo, TC, Peliser, P, Germano, A, Gurgel, SJ, Silva, SR, Kuroda, CM, Herek, A, Yamada, SS, Schiavetto, PM, Wysocki, N, Matsubara, RR, Sales, JA Jr, Laprovita, MP, Pena, FM, Sá, A, Vianna, A, Verdeal, JC, Martins, GA, Salgado, DR, Coelho, AM, Coelho, M, Morong, AS, Poquiriqui, RM, Ferreira, AP, Lucena, DN, Marino, NF, Moreira, MA, Uratani, CC, Severino, MA, Silva, PN, Medeiros, LG, Filho, FG, Guimarães, DM, Rezende, VM, Carbonell, RC, Trindade, RS, Pellegrini, JA, Boniatti, MM, Santos, MC, Boldo, R, Oliveira, VM, Corrêa, VM, Nedel, W, Teixeira, C, Schaich, F, Tagliari, L, Savi, A, Schulz, LF, Maccari, JG, Seeger, GM, Foernges, RB, Rieder, MM, Becker, DA, Broilo, FP, Schwarz, P, Alencastro, A, Berto, P, Backes, F, Dias, FS, Blattner, C, Martins, ET, Scaglia, NC, Vieira, SR, Prado, KF, Fialkow, L, Franke, C, Vieira, DF, Moraes, RB, Marques, LS, Hopf, JL, Wawrzeniak, IC, Rech, TH, Albuquerque, RB, Guerreiro, MO, Teixeira, LO, Macedo, PL, Bainy, MP, Ferreira, EV, Martins, MA, Andrade, LA, Machado, FO, Burigo, AC, Pincelli, M, Kretzer, L, Maia, IS, Cordeiro, RB, Westphal, G, Cramer, AS, Dadam, MM, Barbosa, PO, Caldeira, M, Brilenger, CO, Horner, MB, Oliveira, GL, Germiniani, BC, Duarte, R, Assef, MG, Rosso, D, Bigolin, R, Vanzuita, R, Prado, LF, Oliveira, V, Reis, DL, Morais, MO, Bastos, RS, Santana, HS, Silva, AO, Cacau, LA, Almeida, MS, Canavessi, HS, Nogueira, EE, Pavia, CL, Araujo, JF, Lira, JA, Nienstedt, EC, Smith, TC, Romano, M, Barros D, Costa, AF, Takahashi, L, Werneck, V, Farran, J, Henriques, LA, Miura, C, Lopes, RD, Vendrame, LS, Sandri, P, Galassi, MS, Amato, P, Toufen, C Jr, Santiago, RR, Hirota, AS, Park, M, Azevedo, LC, Malbouison, LM, Costa, MC, Taniguchi, L, Pompílio, CE, Baruzzi, C, Andrade, AH, Taira, EE, Taino, B, Oliveira, CS, Silva, AC, Ísola, A, Rezende, E, Rodrigues, RG, Rangel, VP, Luzzi, S, Giacomassi, IW, Nassar, AP Jr, Souza, AR, Rahal, L, Nunes, AL, Giannini, F, Menescal, B, Morais, JE, Toledo, D, Morsch, RD, Merluzzi, T, Amorim, DS, Bastos, AC, Santos, PL, Silva, SF, Gallego, RC, Santos, GD, Tucci, M, Costa, RT, Santos, LS, Demarzo, SE, Schettino, GP, Suzuki, VC, Patrocinio, AC, Martins, ML, Passos, DB, Cappi, SB, Gonçalves, I Jr, Borges, MC, Lovato, W, Tavares, MV, Morales, D, Machado, LA, Torres, FC, Gomes, TM, Cerantola, RB, Góis, A, Marraccini, T, Margarida, K, Cavalcante, E, Machado, FR, Mazza, BF, Santana, HB, Mendez, VM, Xavier, PA, Rabelo, MV, Schievano, FR, Pinto, WA, Francisco, RS, Ferreira, EM, Silva, DC, Arduini, RG, Aldrighi, JR, Amaro, AF, Conde, KA, Pereira, CA, Tarkieltaub, E, Oliver, WR, Guadalupe, EG, Acerbi, PS, Tomizuka, CI, Oliveira, TA, Geha, NN, Mecatti, GC, Piovesan, MZ, Salomão, MC, Moreno, MS, Orsatti, VN, Miranda, W, Ray, A, Guerra, A, Filho, ML, Ferreira, FH Jr, Filho, EV, Canzi, RA, Giuberti, AF, Garcez, MC, Sala, AD, Suguitani, EO, Kazue, P, Oliveira, LR, Infantini, RM, Carvalho, FR, Andrade, LC, Santos, TM, Carmona, CV, Figueiredo, LC, Falcão, A, Dragosavak, D, Filho, WN, Lunardi, MC, Lago, R, Gatti, C, Chiasso, TM, Santos, GO, Araujo, AC, Ornellas, IB, Vieira, VM, Hajjar, LA, Figueiredo, AC, Damasceno, B, Hinestrosa, A, Diaz-Quijano, FA, Raineri, SM, and Cortegiani, A

Subjects
Research design, ARDS, medicine.medical_specialty, Time Factors, Ventilator-Induced Lung Injury, Alveolar recruitment, Treatment outcome, Randomized, Medicine (miscellaneous), Settore MED/41 - Anestesiologia, Hospital mortality, law.invention, Positive-Pressure Respiration, Study Protocol, Mechanical ventilation, Clinical trials, Randomized controlled trial, Clinical Protocols, law, Medicine, Humans, Pharmacology (medical), Hospital Mortality, PEEP, Protocol (science), Respiratory Distress Syndrome, Acute respiratory distress syndrome, business.industry, respiratory system, Length of Stay, medicine.disease, Clinical trial, Pulmonary Alveoli, Intensive Care Units, Treatment Outcome, Multicenter study, Barotrauma, Research Design, Physical therapy, business, Brazil
Abstract

Background Acute respiratory distress syndrome (ARDS) is associated with high in-hospital mortality. Alveolar recruitment followed by ventilation at optimal titrated PEEP may reduce ventilator-induced lung injury and improve oxygenation in patients with ARDS, but the effects on mortality and other clinical outcomes remain unknown. This article reports the rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART). Methods/Design ART is a pragmatic, multicenter, randomized (concealed), controlled trial, which aims to determine if maximum stepwise alveolar recruitment associated with PEEP titration is able to increase 28-day survival in patients with ARDS compared to conventional treatment (ARDSNet strategy). We will enroll adult patients with ARDS of less than 72 h duration. The intervention group will receive an alveolar recruitment maneuver, with stepwise increases of PEEP achieving 45 cmH2O and peak pressure of 60 cmH2O, followed by ventilation with optimal PEEP titrated according to the static compliance of the respiratory system. In the control group, mechanical ventilation will follow a conventional protocol (ARDSNet). In both groups, we will use controlled volume mode with low tidal volumes (4 to 6 mL/kg of predicted body weight) and targeting plateau pressure ≤30 cmH2O. The primary outcome is 28-day survival, and the secondary outcomes are: length of ICU stay; length of hospital stay; pneumothorax requiring chest tube during first 7 days; barotrauma during first 7 days; mechanical ventilation-free days from days 1 to 28; ICU, in-hospital, and 6-month survival. ART is an event-guided trial planned to last until 520 events (deaths within 28 days) are observed. These events allow detection of a hazard ratio of 0.75, with 90% power and two-tailed type I error of 5%. All analysis will follow the intention-to-treat principle. Discussion If the ART strategy with maximum recruitment and PEEP titration improves 28-day survival, this will represent a notable advance to the care of ARDS patients. Conversely, if the ART strategy is similar or inferior to the current evidence-based strategy (ARDSNet), this should also change current practice as many institutions routinely employ recruitment maneuvers and set PEEP levels according to some titration method. Trial registration ClinicalTrials.gov Identifier: NCT01374022

Published
2012

2. Polymyxin for treatment of ventilator-associated pneumonia in a setting of high carbapenem resistance.

Author

Bento Talizin T, Dantas de Maio Carrilho CM, Magalhães Carvalho Grion C, Tibery Queiroz Cardoso L, Toshiyuki Tanita M, Boll KM, Moro Kauss IA, Festti J, Ribeiro Lopes C, Alves da Silva LM, Patruceli de Azevedo I, Paes K, and Medeiros EA

Subjects
Adult, Aged, Female, Hospital Mortality, Humans, Incidence, Intensive Care Units, Male, Middle Aged, Multivariate Analysis, Pneumonia, Ventilator-Associated mortality, Probability, Survival Analysis, Time Factors, Carbapenems therapeutic use, Drug Resistance, Multiple, Bacterial, Pneumonia, Ventilator-Associated drug therapy, Pneumonia, Ventilator-Associated microbiology, Polymyxins therapeutic use
Abstract

Objectives: To analyse the use of polymyxins for the treatment of ventilator-associated pneumonia (VAP) at a teaching hospital where carbapenem-resistant gram-negative bacteria are endemic., Patients and Methods: This was a historical cohort study of patients receiving polymyxins to treat VAP in ICUs at a public university hospital in southern Brazil between January 1, 2017 and January 31, 2018., Results: During the study period, 179 cases of VAP were treated with polymyxins. Of the 179 patients, 158 (88.3%) were classified as having chronic critical illness. Death occurred in 145 cases (81.0%). Multivariate analysis showed that the factors independently associated with mortality were the presence of comorbidities (P<0.001) and the SOFA score of the day of polymyxin prescription (P<0.001). Being a burn patient was a protective factor for mortality (P<0.001). Analysis of the 14-day survival probability showed that mortality was higher among the patients who had sepsis or septic shock at the time of polymyxin prescription (P = 0.028 and P<0.001, respectively). Acinetobacter baumannii was identified as the etiological agent of VAP in 121 cases (67.6%). In our cohort, polymyxin consumption and the incidence density of VAP were quite high., Conclusions: In our study, comprised primarily of chronically critically ill patients, there was a high prevalence of VAP caused by multidrug-resistant bacteria, consistent with healthcare-associated infections in low- and middle-income countries. Presence of comorbidities and the SOFA score at the time of polymyxin prescription were predictors of mortality in this cohort. Despite aggressive antimicrobial treatment, mortality was high, stressing the need for antibiotic stewardship., Competing Interests: The authors have declared that no competing interests exist.

Published
2020
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3. The performance of a rapid response team in the management of code yellow events at a university hospital.

Author

Taguti Pda S, Dotti AZ, de Araujo KP, de Pariz PS, Dias GF, Kauss IA, Grion CM, and Cardoso LT

Subjects
Adult, Aged, Critical Illness epidemiology, Critical Illness therapy, Female, Hospital Mortality, Hospitals, University, Humans, Longitudinal Studies, Male, Middle Aged, Patient Admission, Prognosis, Prospective Studies, Critical Care organization & administration, Hospital Rapid Response Team organization & administration, Intensive Care Units organization & administration
Abstract

Objective: To describe the epidemiological data of the clinical instability events in patients attended to by the rapid response team and to identify prognostic factors., Methods: This was a longitudinal study, performed from January to July 2010, with an adult inpatient population in a hospital environment. The data collected regarding the code yellow service included the criteria of the clinical instability, the drug and non-drug therapies administered and the activities and procedures performed. The outcomes evaluated were the need for intensive care unit admission and the hospital mortality rates. A level of p=0.05 was considered to be significant., Results: A total of 150 code yellow events that occurred in 104 patients were evaluated. The most common causes were related to acute respiratory insufficiency with hypoxia or a change in the respiratory rate and a concern of the team about the patient's clinical condition. It was necessary to request a transfer to the intensive care unit in 80 of the 150 cases (53.3%). It was necessary to perform 42 procedures. The most frequent procedures were orotracheal intubation and the insertion of a central venous catheter. The patients who were in critical condition and had to wait for an intensive care unit bed had a higher risk of death compared to the other patients (hazard ratio: 3.12; 95% CI: 1.80-5.40; p<0.001)., Conclusions: There are patients in critical condition that require expert intensive care in the regular ward unit hospital beds. The events that most frequently led to the code yellow activation were related to hemodynamic and respiratory support. The interventions performed indicate the need for a physician on the team. The situation of pent-up demand is associated with a higher mortality rate.

Published
2013
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4. Impact of delayed admission to intensive care units on mortality of critically ill patients: a cohort study.

Author

Cardoso LT, Grion CM, Matsuo T, Anami EH, Kauss IA, Seko L, and Bonametti AM

Subjects
Adult, Aged, Cohort Studies, Critical Illness, Female, Humans, Intensive Care Units statistics & numerical data, Male, Middle Aged, Prospective Studies, Risk Factors, Survival Rate, Time Factors, Treatment Outcome, Beds supply & distribution, Health Services Accessibility, Hospital Mortality, Intensive Care Units organization & administration, Patient Admission statistics & numerical data
Abstract

Introduction: When the number of patients who require intensive care is greater than the number of beds available, intensive care unit (ICU) entry flow is obstructed. This phenomenon has been associated with higher mortality rates in patients that are not admitted despite their need, and in patients that are admitted but are waiting for a bed. The purpose of this study is to evaluate if a delay in ICU admission affects mortality for critically ill patients., Methods: A prospective cohort of adult patients admitted to the ICU of our institution between January and December 2005 were analyzed. Patients for whom a bed was available were immediately admitted; when no bed was available, patients waited for ICU admission. ICU admission was classified as either delayed or immediate. Confounding variables examined were: age, sex, originating hospital ward, ICU diagnosis, co-morbidity, Acute Physiology and Chronic Health Evaluation (APACHE) II score, therapeutic intervention, and Sequential Organ Failure Assessment (SOFA) score. All patients were followed until hospital discharge., Results: A total of 401 patients were evaluated; 125 (31.2%) patients were immediately admitted and 276 (68.8%) patients had delayed admission. There was a significant increase in ICU mortality rates with a delay in ICU admission (P = 0.002). The fraction of mortality risk attributable to ICU delay was 30% (95% confidence interval (CI): 11.2% to 44.8%). Each hour of waiting was independently associated with a 1.5% increased risk of ICU death (hazard ratio (HR): 1.015; 95% CI 1.006 to 1.023; P = 0.001)., Conclusions: There is a significant association between time to admission and survival rates. Early admission to the ICU is more likely to produce positive outcomes.

Published
2011
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5. The epidemiology of sepsis in a Brazilian teaching hospital.

Author

Kauss IA, Grion CM, Cardoso LT, Anami EH, Nunes LB, Ferreira GL, Matsuo T, and Bonametti AM

Subjects
Adult, Aged, Brazil epidemiology, Female, Hospitals, University statistics & numerical data, Humans, Incidence, Intensive Care Units statistics & numerical data, Male, Middle Aged, Prospective Studies, Severity of Illness Index, Shock, Septic mortality, Hospital Mortality, Sepsis mortality
Abstract

Objectives: The objective of this study was to estimate disease incidence and mortality rate of sepsis in a tertiary public hospital., Methods: Patients admitted to the Intensive Care Unit (ICU) in 2004 and 2005 were monitored for sepsis using an observational longitudinal study design. Patients were monitored daily for diagnostic criteria of sepsis, according to ACCP/SCCM Consensus Conference criteria, until either death or hospital discharge., Results: During the study, we analyzed 1,179 patients. Systemic Inflammatory Response Syndrome (SIRS) was present in 1,048 (88.9%) patients on admission, and was associated with infection in 554 (47.0%) patients. Of these, sepsis was diagnosed in 30 (2.5%) patients, while severe sepsis was diagnosed in 269 (22.8%) patients, and septic shock was diagnosed in 255 (21.6%) patients. APACHE II and SOFA scores were higher in septic patients (p < 0.001), and the ensuing mortality rates were 32.8% (IC 95%: 21.6-45.7%) for patients with sepsis, 49.9% (IC 95%: 44.5-55.2%) for severe sepsis, and 72.7% (IC 95%: 68.1-76.9%) for septic shock., Conclusions: The data from our study revealed a high incidence of sepsis among hospitalized patients. Moreover, sepsis patients had a high rate of mortality.

Published
2010

6. Serial evaluation of SOFA score in a Brazilian teaching hospital.

Author

Anami EH, Grion CM, Cardoso LT, Kauss IA, Thomazini MC, Zampa HB, Bonametti AM, and Matsuo T

Subjects
Adolescent, Adult, Aged, Aged, 80 and over, Brazil epidemiology, Female, Hospital Mortality, Humans, Intensive Care Units, Male, Middle Aged, Multiple Organ Failure mortality, Prospective Studies, ROC Curve, Sensitivity and Specificity, Multiple Organ Failure diagnosis, Severity of Illness Index
Abstract

Objectives: To evaluate the application of the Sequential Organ Failure Assessment (SOFA) in describing the severity of organ dysfunctions and the associated mortality rates in critically ill patients at a teaching hospital., Research Methodology: Prospective longitudinal study performed in 1164 adult, critically ill patients who were admitted consecutively into intensive care units between January 2004 and December 2005. We analysed static evaluation of SOFA and dynamic changes in the SOFA scores. The discriminative power of SOFA was evaluated using ROC curves., Results: There was an increase in the mortality rate when the SOFA scores increased (chi2(trend)=272.08, p<0.001, increase rate=0.13). The SOFA score on the third day in the ICU had the highest area under the curve for hospital mortality (AUC: 0.817+/-0.0133, CI 95%: 0.792-0.840). We analysed SOFA score changes with time and observed that patients with low scores (0-5) upon admission and who increased to the medium or high SOFA groups had a significantly higher mortality rate (51.7 and 100%, respectively, p<0.001)., Conclusions: Applying SOFA to critically ill patients effectively described the severity of organ dysfunctions, and higher SOFA scores had a positive association with mortality., (Copyright 2009 Elsevier Ltd. All rights reserved.)

Published
2010
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