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1.
Microb Biotechnol ; 15(10): 2667-2682, 2022 10.
Artigo em Inglês | MEDLINE | ID: mdl-35921430

RESUMO

There was inconsistent evidence regarding the use of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) for microorganism identification with/without antibiotic stewardship team (AST) and the clinical outcome of patients with bloodstream infections (BSI). In a systematic review and meta-analysis, we evaluated the effectiveness of rapid microbial identification by MALDI-TOF MS with and without AST on clinical outcomes. We searched PubMed and EMBASE databases from inception to 1 February 2022 to identify pre-post and parallel comparative studies that evaluated the use of MALDI-TOF MS for microorganism identification. Pooled effect estimates were derived using the random-effects model. Twenty-one studies with 14,515 patients were meta-analysed. Compared with conventional phenotypic methods, MALDI-TOF MS was associated with a 23% reduction in mortality (RR = 0.77; 95% CI: 0.66; 0.90; I2  = 35.9%; 13 studies); 5.07-h reduction in time to effective antibiotic therapy (95% CI: -5.83; -4.31; I2  = 95.7%); 22.86-h reduction in time to identify microorganisms (95% CI: -23.99; -21.74; I2  = 91.6%); 0.73-day reduction in hospital stay (95% CI: -1.30; -0.16; I2  = 53.1%); and US$4140 saving in direct hospitalization cost (95% CI: $-8166.75; $-113.60; I2  = 66.1%). No significant heterogeneity sources were found, and no statistical evidence for publication bias was found. Rapid pathogen identification by MALDI-TOF MS with or without AST was associated with reduced mortality and improved outcomes of BSI, and may be cost-effective among patients with BSI.


Assuntos
Sepse , Antibacterianos/uso terapêutico , Custos e Análise de Custo , Humanos , Sepse/diagnóstico , Sepse/tratamento farmacológico , Espectrometria de Massas por Ionização e Dessorção a Laser Assistida por Matriz/métodos , Fatores de Tempo
2.
Digit Health ; 8: 20552076211072400, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35096409

RESUMO

OBJECTIVE: Sepsis is the leading cause of in-hospital mortality in the United States (US). Quality improvement initiatives for improving sepsis care depend on accurate estimates of sepsis mortality. While hospital 30-day risk-standardized mortality rates have been published for patients hospitalized with acute myocardial infarction, heart failure, and pneumonia, risk-standardized mortality rates for sepsis have not been well characterized. We aimed to construct a sepsis risk-standardized mortality rate map for the United States, to illustrate disparities in sepsis care across the country. METHODS: This cross-sectional study included adults from the US Nationwide Inpatient Sample who were hospitalized with sepsis between 1 January 2010 and 30 December 2011. Hospital-level risk-standardized mortality rates were calculated using hierarchical logistic modelling, and were risk-adjusted with predicted mortality derived from (1) the Sepsis Risk Prediction Score, a logistic regression model, and (2) gradient-boosted decision trees, a supervised machine learning (ML) algorithm. RESULTS: Among 1,739,033 adults hospitalized with sepsis, 50% were female, and the median age was 71 years (interquartile range: 58-81). The national median risk-standardized mortality rate for sepsis was 18.4% (interquartile range: 17.0, 21.0) by the boosted tree model, which had better discrimination than the Sepsis Risk Prediction Score model (C-statistic 0.87 and 0.78, respectively). The highest risk-standardized mortality rates were found in Wyoming, North Dakota, and Mississippi, while the lowest were found in Arizona, Colorado, and Michigan. CONCLUSIONS: Wide variation exists in sepsis risk-standardized mortality rates across states, representing opportunities for improvement in sepsis care. This represents the first map of state-level variation of risk-standardized mortality rates in sepsis.

3.
United European Gastroenterol J ; 9(5): 561-570, 2021 06.
Artigo em Inglês | MEDLINE | ID: mdl-33951338

RESUMO

BACKGROUND: The relationship between body weight and outcomes of endoscopic retrograde cholangiopancreatography (ERCP) is unclear. OBJECTIVES: This study aimed to investigate the impact of obesity and morbid obesity on mortality and ERCP-related complications in patients who underwent ERCP. METHODS: We conducted a US population-based retrospective cohort study using the Nationwide Readmissions Databases (2013-2014). A total of 159,264 eligible patients who underwent ERCP were identified, of which 137,158 (86.12%) were normal weight, 12,522 (7.86%) were obese, and 9584 (6.02%) were morbidly obese. The primary outcome was in-hospital mortality. The secondary outcomes were the length of stay, total cost, and ERCP-related complications. Multivariate analysis and propensity score (PS) matching analysis were performed. The analysis was repeated in a restricted cohort to eliminate confounders. RESULTS: Patients with morbid obesity, as compared to normal-weight patients, were associated with a significantly higher in-hospital mortality (hazard ratio [HR]: 5.54; 95% confidence interval [CI]: 1.23-25.04). Obese patients were not associated with significantly different mortality comparing to normal weight (HR: 1.00; 95% CI: 0.14-7.12). Patients with morbid obesity were also found to have an increased length of hospital stay and total cost. The rate of ERCP-related complications was comparable among the three groups except for a higher cholecystitis rate after ERCP in obese patients. CONCLUSIONS: Morbid obesity but not obesity was associated with increased mortality, length of stay, and total cost in patients undergoing ERCP.


Assuntos
Colangiopancreatografia Retrógrada Endoscópica/mortalidade , Mortalidade Hospitalar , Obesidade/mortalidade , Índice de Massa Corporal , Causas de Morte , Colangiopancreatografia Retrógrada Endoscópica/efeitos adversos , Colangiopancreatografia Retrógrada Endoscópica/economia , Colangiopancreatografia Retrógrada Endoscópica/estatística & dados numéricos , Intervalos de Confiança , Bases de Dados Factuais/estatística & dados numéricos , Feminino , Humanos , Tempo de Internação/economia , Masculino , Pessoa de Meia-Idade , Análise Multivariada , Obesidade Mórbida/mortalidade , Readmissão do Paciente , Pontuação de Propensão , Estudos Retrospectivos , Estados Unidos
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