Impact of an inpatient multidisciplinary glucose control management program

ABSTRACT Objective: Glycemic control has been increasingly recognized as a critical element in inpatient care, but optimal management of blood glucose in the hospital setting remains challenging. The aims of this study were to describe and evaluate the impact of the implementation of an inpatient multidisciplinary glucose control management program on glucose control in hospitalized patients. Materials and methods: Retrospective analysis of medical records and glucose monitoring data obtained by point- of-care testing (POCT) in hospitalized patients before (May 2014) and after (June 2015 and May 2017) the implementation of the program. Results: We analyzed 6888, 7290, and 7669 POCTs from 389, 545, and 475 patients in May 2014, June 2015, and May 2017, respectively. Hyperglycemia (≥ 180 mg/ dL) occurred in 23.5%, 19.6%, and 19.3% POCTs in May 2014, June 2015, and May/2017, respectively (p < 0.001), while severe hyperglycemia (≥ 300 mg/dL) was observed in 2.5%, 2.2%, and 1.8% of them, respectively (p = 0.003). Hyperglycemia (≥ 180 mg/dL) reduced significantly from May 2014 to June 2015 (16.3%, p < 0.001) and from May 2014 to May 2017 (178%, p < 0.001). No significant changes occurred in hypoglycemic parameters. Conclusions: The implementation of an inpatient multidisciplinary glucose control management program led to significant reductions in hyperglycemic events. The key elements for this achievement were the development of institutional inpatient glycemic control protocols, establishment of a multidisciplinary team, and continuing educational programs for hospital personnel. Altogether, these actions resulted in improvements in care processes, patient safety, and clinical outcomes of hospitalized patients.

Brazilian experience in EU-CORE: daptomycin registry and treatment of serious Gram-positive infections

OBJECTIVES: To collect data about non-controlled prescribing use of daptomycin and its impact among Brazilian patients with serious Gram positive bacterial infection, as well as the efficacy and safety outcomes. MATERIALS AND METHODS: This is a multi-center, retrospective, non-interventional registry (August 01, 2009 to June 30, 2011) to collect data on 120 patients (44 patients in the first year and 76 patients in the second year) who had received at least one dose of commercial daptomycin in Brazil for the treatment of serious Gram-positive bacterial infection. RESULTS: Right-sided endocarditis (15.8%), complicated skin and soft tissue infections (cSSTI)wound (15.0%) and bacteremia-catheter-related (14.2%) were the most frequent primary infections; lung (21.7%) was the most common site for infection. Daptomycin was used empirically in 76 (63.3%) patients, and methicillin-resistant Staphylococcus aureus (MRSA) was the most common suspected pathogen (86.1%). 82.5% of the cultures were obtained prior to or shortly after initiation of daptomycin therapy. Staphylococcus spp. - coagulase negative, MRSA, and methicillin-susceptible S. aureus were the most frequently identified pathogens (23.8%, 23.8% and 12.5%, respectively). The most common daptomycin dose administered for bacteremia and cSSTI was 6 mg/kg (30.6%) and 4 mg/kg (51.7%), respectively. The median duration of inpatient daptomycin therapy was 14 days. Most patients (57.1%) did not receive daptomycin while in intensive care unit. Carbapenem (22.5%) was the most commonly used antibiotic concomitantly. The patients showed clinical improvement after two days (median) following the start of daptomycin therapy. The clinical success rate was 80.8% and the overall rate of treatment failure was 10.8%. The main reasons for daptomycin discontinuation were successful end of therapy (75.8%), switched therapy (11.7%), and treatment failure (4.2%). Daptomycin demonstrated a favorable safety and tolerability profile regardless of treatment duration. CONCLUSIONS: Daptomycin had a relevant role in the treatment of Gram-positive infections in the clinical practice setting in Brazil.

Ritmo circadiano em óbitos hospitalares: comparação entre unidade de tratamento intensivo e unidade de tratamento não intensivo / Circadian rhythm of hospital deaths: comparison between intensive care unit and non-intensive care unit

OBJETIVO: A demonstração de que a mortalidade cardiovascular segue um ritmo circadiano fez com que fosse verificado se pacientes que falecem em unidade de tratamento intensivo (UTI) e unidade clínica (UC) obedecem a este ritmo. MÉTODOS: Foram analisados todos os óbitos hospitalares ocorridos entre 1º de janeiro de 2006 e 31 de julho de 2010. O padrão circadiano dos óbitos foi analisado dividindo-se as 24 horas do dia em períodos de 2 horas. Utilizou-se o teste do qui-quadrado para comparação de variáveis categóricas e o teste t de Student ou a análise da variância fator único para comparação de variáveis contínuas. Um valor de p < 0,05 foi considerado estatisticamente significante. RESULTADOS: No período estudado, foram registrados 700 óbitos, 211 (30,1 por cento) na UTI e 88 (12,6 por cento) na UC. Houve mais óbitos nas primeiras horas do dia, entre 6 e 12 h, na UC, em comparação à UTI (38 por cento vs. 21 por cento; p = 0,004). Na UTI, 21 por cento dos óbitos ocorreram entre 6 e 12 h, 30 por cento entre 12 e 18 h, 26 por cento entre 18 e 24 h e 24 por cento entre 24 e 6 h (p = 0,13). Enquanto, na UC, 38 por cento ocorreram entre 6 e 12 h, 18 por cento entre 12 e 18h, 19 por cento entre 18 e 24 h e 25 por cento entre 24 e 6 h (p = 0,005). CONCLUSÃO: Na UC, os óbitos ocorrem com maior frequência no período da manhã e seguem um padrão circadiano, enquanto na UTI esse fenômeno não ocorre.

OBJECTIVE: The demonstration that cardiovascular mortality follows a circadian rhythm led us to verify whether patients dying at the intensive unit care (ICU) and at the non-intensive unit care (non-ICU) follow that rhythm. METHODS: All hospital's deaths occurring between January 1, 2006 and July 31, 2010 were analyzed. The circadian pattern of the time of death was analyzed in twelve 2 hour intervals. The Chi-square test was used to compare proportions, and Student's t test or ANOVA single factor to compare continuous variables. A p-value < 0.05 was considered statistically significant. RESULTS: During the study period 700 deaths occurred in the hospital, 211 (30.1 percent) at the ICU and 88 (12.6 percent) at the non-ICU. There were more deaths in the first hours of the day, between 6 am and 12 am, at the non-ICU in comparison to the ICU (38 percent vs. 21 percent; p = 0.004). In the ICU, we observed that 21 percent of the deaths occurred between 6 am and 12 pm, 30 percent between 12 pm and 6 pm, 26 percent between 6 pm and 12 am and 24 percent between 12 am and 6 am (p = 0.13), whereas, at the non-ICU, 38 percent of the deaths occurred between 6 am and 12 pm, 18 percent between 12 pm and 6 pm, 19 percent between 6 pm and 12 am and 25 percent between 12 am and 6 am (p = 0.005). CONCLUSION: At the non-ICU, deaths occur more often in the morning period and follow a circadian rhythm, which does not occur at the ICU.