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2.
J Pediatr ; 234: 77-84.e8, 2021 07.
Article in English | MEDLINE | ID: mdl-33545190

ABSTRACT

OBJECTIVES: To provide a comprehensive assessment of case stratification by the Neonatal Early-Onset Sepsis (EOS) Calculator, a novel tool for reducing unnecessary antibiotic treatment. STUDY DESIGN: A systematic review with individual patient data meta-analysis was conducted, extending PROSPERO record CRD42018116188. Cochrane, PubMed/MEDLINE, EMBASE, Web of Science, Google Scholar, and major conference proceedings were searched from 2011 through May 1, 2020. Original data studies including culture-proven EOS case(s) with EOS Calculator application, independent from EOS Calculator development, and including representative birth cohorts were included. Relevant (individual patient) data were extracted from full-text and data queries. The main outcomes were the proportions of EOS cases assigned to risk categories by the EOS Calculator at initial assessment and within 12 hours. Evidence quality was assessed using Newcastle-Ottawa scale, Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies, and GRADE tools. RESULTS: Among 543 unique search results, 18 were included, totaling more than 459 000 newborns. Among 234 EOS cases, EOS Calculator application resulted in initial assignments to (strong consideration of) empiric antibiotic administration for 95 (40.6%; 95% CI, 34.2%-47.2%), more frequent vital signs for 36 (15.4%; 95% CI, 11.0%-20.7%), and routine care for 103 (44.0%; 95% CI, 37.6%-50.6%). By 12 hours of age, these proportions changed to 143 (61.1%; 95% CI, 54.5%-67.4%), 26 (11.1%; 95% CI, 7.4%-15.9%), and 65 (27.8%; 95% CI, 22.1%-34.0%) of 234 EOS cases, respectively. CONCLUSIONS: EOS Calculator application assigns frequent vital signs or routine care to a substantial proportion of EOS cases. Clinical vigilance remains essential for all newborns.


Subject(s)
Neonatal Sepsis , Sepsis , Anti-Bacterial Agents/therapeutic use , Humans , Infant, Newborn , Infant, Premature , Neonatal Sepsis/diagnosis , Neonatal Sepsis/drug therapy , Neonatal Sepsis/epidemiology , Retrospective Studies , Risk Assessment , Risk Factors , Sepsis/diagnosis , Sepsis/drug therapy , Systematic Reviews as Topic
3.
JAMA Pediatr ; 173(11): 1032-1040, 2019 Nov 01.
Article in English | MEDLINE | ID: mdl-31479103

ABSTRACT

IMPORTANCE: The neonatal early-onset sepsis (EOS) calculator is a clinical risk stratification tool increasingly used to guide the use of empirical antibiotics for newborns. Evidence on the effectiveness and safety of the EOS calculator is essential to inform clinicians considering implementation. OBJECTIVE: To assess the association between management of neonatal EOS guided by the neonatal EOS calculator (compared with conventional management strategies) and reduction in antibiotic therapy for newborns. DATA SOURCES: Electronic searches in MEDLINE, Embase, Web of Science, and Google Scholar were conducted from 2011 (introduction of the EOS calculator model) through January 31, 2019. STUDY SELECTION: All studies with original data that compared management guided by the EOS calculator with conventional management strategies for allocating antibiotic therapy to newborns suspected to have EOS were included. DATA EXTRACTION AND SYNTHESIS: Following PRISMA-P guidelines, relevant data were extracted from full-text articles and supplements. CHARMS (Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modeling Studies) and GRADE (Grades of Recommendation, Assessment, Development and Evaluation) tools were used to assess the risk of bias and quality of evidence. Meta-analysis using a random-effects model was conducted for studies with separate cohorts for EOS calculator and conventional management strategies. MAIN OUTCOMES AND MEASURES: The difference in percentage of newborns treated with empirical antibiotics for suspected or proven EOS between management guided by the EOS calculator and conventional management strategies. Safety-related outcomes involved missed cases of EOS, readmissions, treatment delay, morbidity, and mortality. RESULTS: Thirteen relevant studies analyzing a total of 175 752 newborns were included. All studies found a substantially lower relative risk (range, 3%-60%) for empirical antibiotic therapy, favoring the EOS calculator. Meta-analysis revealed a relative risk of antibiotic use of 56% (95% CI, 53%-59%) in before-after studies including newborns regardless of exposure to chorioamnionitis. Evidence on safety was limited, but proportions of missed cases of EOS were comparable between management guided by the EOS calculator (5 of 18 [28%]) and conventional management strategies (8 of 28 [29%]) (pooled odds ratio, 0.96; 95% CI, 0.26-3.52; P = .95). CONCLUSIONS AND RELEVANCE: Use of the neonatal EOS calculator is associated with a substantial reduction in the use of empirical antibiotics for suspected EOS. Available evidence regarding safety of the use of the EOS calculator is limited, but shows no indication of inferiority compared with conventional management strategies.

4.
Hepatol Int ; 8(2): 266-74, 2014 Apr.
Article in English | MEDLINE | ID: mdl-26202508

ABSTRACT

BACKGROUND AND AIMS: The natural history of primary biliary cirrhosis (PBC) has so far mainly been studied in tertiary referral centres. The aim of the present investigation was to describe the natural history of PBC in a large population-based cohort in order to identify risk factors for development of malignancies and disease progression. METHODS: Four independent hospital databases were searched in 44 hospitals in a geographically defined area, after which all medical records were evaluated on site. In addition, PBC registries in the three liver transplant centers were checked for missed referrals from the area of interest. RESULTS: In total, 992 cases fulfilled the inclusion criteria. The median follow-up was 73 months (range 0-434). Mortality was similar to the age- and gender matched population (SMR 1.1; 95 % CI 0.9-1.4). Male gender, smoking, and elevated bilirubin, decreased albumin, and elevated AST at time of diagnosis, were associated with an increased risk for the combined end point PBC-related death or liver transplantation. In total, 133 (13 %) patients developed one or more malignancies (SIR 1.5; 95 % CI 1.1-1.9). There was a ninefold increased risk of developing hepatobiliary malignancies (SIR 9.4; 95 % CI 3.04-21.8), a fivefold increased risk of developing urinary bladder cancer (SIR 5.0; 95 % CI 1.6-11.6), and a 1.8-fold increased risk of developing breast cancer (SIR 1.8; 95 % CI 1.08-2.81). CONCLUSION: PBC is associated with an increased risk of hepatobiliary, bladder and breast cancer. Still, survival-under treatment with ursodeoxycholic acid (UDCA)-was comparable to the general population in this population-based study.

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