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1.
Infect Control Hosp Epidemiol ; 42(9): 1082-1089, 2021 09.
Article in English | MEDLINE | ID: mdl-33736724

ABSTRACT

OBJECTIVE: In the era of widespread resistance, there are 2 time points at which most empiric prescription errors occur among hospitalized adults: (1) upon admission (UA) when treating patients at risk of multidrug-resistant organisms (MDROs) and (2) during hospitalization, when treating patients at risk of extensively drug-resistant organisms (XDROs). These errors adversely influence patient outcomes and the hospital's ecology. DESIGN AND SETTING: Retrospective cohort study, Shamir Medical Center, Israel, 2016. PATIENTS: Adult patients (aged >18 years) hospitalized with sepsis. METHODS: Logistic regressions were used to develop predictive models for (1) MDRO UA and (2) nosocomial XDRO. Their performances on the derivation data sets, and on 7 other validation data sets, were assessed using the area under the receiver operating characteristic curve (ROC AUC). RESULTS: In total, 4,114 patients were included: 2,472 patients with sepsis UA and 1,642 with nosocomial sepsis. The MDRO UA score included 10 parameters, and with a cutoff of ≥22 points, it had an ROC AUC of 0.85. The nosocomial XDRO score included 7 parameters, and with a cutoff of ≥36 points, it had an ROC AUC of 0.87. The range of ROC AUCs for the validation data sets was 0.7-0.88 for the MDRO UA score and was 0.66-0.75 for nosocomial XDRO score. We created a free web calculator (https://assafharofe.azurewebsites.net). CONCLUSIONS: A simple electronic calculator could aid with empiric prescription during an encounter with a septic patient. Future implementation studies are needed to evaluate its utility in improving patient outcomes and in reducing overall resistances.


Subject(s)
Anti-Infective Agents , Sepsis , Adult , Hospitals , Humans , ROC Curve , Retrospective Studies , Sepsis/drug therapy
2.
PLoS One ; 14(4): e0215538, 2019.
Article in English | MEDLINE | ID: mdl-31013323

ABSTRACT

Anthropometric indices of obesity (e.g. body mass index, waist circumference and neck circumference) are associated with poor long-term cardiovascular outcome. Prior studies have associated neck circumference and central body adiposity. We explored the association between neck fat volume (NFV) and long-term cardiovascular outcome. The study provides a retrospective analysis of all patients undergoing computerized tomography angiography for suspected cerebrovascular accident between January and December 2013. NFV was assessed by three dimensional reconstructions and was adjusted to height to account for differences in body sizes, thus yielding the NFV/height ratio (NHR). Univariate and multivariate analysis were utilized to explore the association between various indices including NHR and all-cause mortality. The analysis included 302 patients. The average age was 61.9±14.3 years, 60.6% of male gender. Diabetes mellitus, hypertension and cardiovascular disease were frequent in 31.5%, 69.9%, and 72.2% of patients, respectively. The median NHR was 492.53cm2 [IQR 393.93-607.82]. Median follow up time was 41.2 months, during which 40 patients (13.2%) died. Multivariate analysis adjusting for age, sex, and diabetes mellitus indicated an independent association between the upper quartile of NHR and all-cause mortality (hazard ratio = 2.279; 95% CI = 1.209-4.299; p = .011). NHR is a readily available anthropometric index which significantly correlated with poor long-term outcome. Following validation in larger scale studies, this index may serve a risk stratifying tool for cardiovascular disease and future outcome.


Subject(s)
Adiposity/physiology , Cardiovascular Diseases/mortality , Diabetes Mellitus/mortality , Neck/physiopathology , Obesity/complications , Aged , Anthropometry/methods , Cardiovascular Diseases/etiology , Computed Tomography Angiography , Diabetes Mellitus/etiology , Feasibility Studies , Female , Follow-Up Studies , Humans , Israel/epidemiology , Male , Middle Aged , Neck/diagnostic imaging , Obesity/mortality , Obesity/physiopathology , Retrospective Studies , Risk Assessment/methods , Risk Factors
3.
Am J Cardiol ; 122(5): 729-734, 2018 09 01.
Article in English | MEDLINE | ID: mdl-30037423

ABSTRACT

A significant proportion of patients with acute myocardial infarction (AMI) also present with clinical manifestations of inflammatory response, which may be confused with a concomitant infection. This leads to a dilemma regarding the empiric use of antibiotics. We explored if serum procalcitonin (PCT), which is known to be elevated in bacterial infections, may be utilized to rule-out bacterial infection in AMI patients. In this prospective, single center study, PCT was collected within 48 hours from AMI patients. Patients' demographic, clinical, and laboratory data were collected prospectively. Two experienced infectious diseases specialists blinded to the PCT results independently determined the presence of infection in every patient. Sensitivity, specificity, positive predictive value, negative predictive value, and the area under the receiver operating characteristic curve were calculated to determine the accuracy of PCT, fever, white blood cell (WBC) count, and C-reactive protein (CRP) levels for the diagnosis of the infection. The analysis included 230 AMI patients (age 63.0 ± 13.0 years) of whom 36 (15.6%) had coexisting infections. The best cutoff for PCT as a differentiating marker between patients with and without coexisting infection was 0.09 ng/dl (sensitivity 94.4%, specificity 85.1%, area under the curve 0.94). PCT outperformed CRP, WBC, and fever for diagnosing infection. In conclusion, compared with CRP, fever, and WBC, serum PCT had a better performance in differentiating infected from noninfected AMI patients and thus should be considered as an adjunct test when facing the dilemma of initiating empiric antibiotic in AMI patient demonstrating inflammatory signs.


Subject(s)
Bacterial Infections/blood , Bacterial Infections/complications , Myocardial Infarction/blood , Myocardial Infarction/complications , Procalcitonin/blood , Aged , Algorithms , Biomarkers/blood , Female , Humans , Male , Middle Aged , Predictive Value of Tests , Prospective Studies , Sensitivity and Specificity
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