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- Giannoni, E, et al.
(författare)
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Analysis of Antibiotic Exposure and Early-Onset Neonatal Sepsis in Europe, North America, and Australia
- 2022
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Ingår i: JAMA network open. - : American Medical Association (AMA). - 2574-3805. ; 5:11, s. e2243691-
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Tidskriftsartikel (refereegranskat)abstract
- Appropriate use of antibiotics is life-saving in neonatal early-onset sepsis (EOS), but overuse of antibiotics is associated with antimicrobial resistance and long-term adverse outcomes. Large international studies quantifying early-life antibiotic exposure along with EOS incidence are needed to provide a basis for future interventions aimed at safely reducing neonatal antibiotic exposure.ObjectiveTo compare early postnatal exposure to antibiotics, incidence of EOS, and mortality among different networks in high-income countries.Design, Setting, and ParticipantsThis is a retrospective, cross-sectional study of late-preterm and full-term neonates born between January 1, 2014, and December 31, 2018, in 13 hospital-based or population-based networks from 11 countries in Europe and North America and Australia. The study included all infants born alive at a gestational age greater than or equal to 34 weeks in the participating networks. Data were analyzed from October 2021 to March 2022.ExposuresExposure to antibiotics started in the first postnatal week.Main Outcomes and MeasuresThe main outcomes were the proportion of late-preterm and full-term neonates receiving intravenous antibiotics, the duration of antibiotic treatment, the incidence of culture-proven EOS, and all-cause and EOS-associated mortality.ResultsA total of 757 979 late-preterm and full-term neonates were born in the participating networks during the study period; 21 703 neonates (2.86%; 95% CI, 2.83%-2.90%), including 12 886 boys (59.4%) with a median (IQR) gestational age of 39 (36-40) weeks and median (IQR) birth weight of 3250 (2750-3750) g, received intravenous antibiotics during the first postnatal week. The proportion of neonates started on antibiotics ranged from 1.18% to 12.45% among networks. The median (IQR) duration of treatment was 9 (7-14) days for neonates with EOS and 4 (3-6) days for those without EOS. This led to an antibiotic exposure of 135 days per 1000 live births (range across networks, 54-491 days per 1000 live births). The incidence of EOS was 0.49 cases per 1000 live births (range, 0.18-1.45 cases per 1000 live births). EOS-associated mortality was 3.20% (12 of 375 neonates; range, 0.00%-12.00%). For each case of EOS, 58 neonates were started on antibiotics and 273 antibiotic days were administered.Conclusions and RelevanceThe findings of this study suggest that antibiotic exposure during the first postnatal week is disproportionate compared with the burden of EOS and that there are wide (up to 9-fold) variations internationally. This study defined a set of indicators reporting on both dimensions to facilitate benchmarking and future interventions aimed at safely reducing antibiotic exposure in early life.
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- Hnatkova, K, et al.
(författare)
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Computer package generating non-invasive atrial electrograms: Detection and subtraction of QRS and T waves
- 1998
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Ingår i: Computers in Cardiology. - 0780352009 ; 25, s. 533-536
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Konferensbidrag (refereegranskat)abstract
- Computerized systems to localize specific patterns appearing in ECG signal, such as the QRS complex and T wave usually utilize predefined templates. Where the signal is not clean, such as during atrial fibrillation (AF), analysis based on self-similarities of the ECG signal appears to be more stable. The authors describe a software package which uses self-similarity techniques to allow the subtraction of ventricular signals during AF. The dataset used in this study was Holter ECG recorded in 23 patients (11 male, age 61.1±8.7 years) with chronic AF using an Altair 6500 digital Holter (Burdick Inc., 3 channels, 1 kHz sampling). Self-similarities between corresponding QRS and corresponding T windows were assessed using Spearman correlation coefficients, utilising the commercial software derived fiducial point but with shifted windows to overcome possible minor imprecision thereof. A linear order algorithm successfully subtracted 87% of QRS's and 67% of T waves.
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