Dataset Information

Risk factors and treatments for disseminated intravascular coagulation in neonates.

ABSTRACT: BACKGROUND:Although disseminated intravascular coagulation (DIC) is a critical disease, there is few gold standard interventions in neonatal medicine. The aim of this study is to reveal factors affecting neonatal DIC at birth and to assess the effectiveness of rTM and FFP for DIC in neonates at birth. METHODS:We retrospectively evaluated DIC score on the first day of life in neonates with underlying conditions associated with DIC. DIC in neonates was diagnosed according to Japan Society of Obstetrical, Gynecological & Neonatal Hematology 2016 neonatal DIC criteria. RESULTS:Comparing neonates with DIC scores of ?3 (n?=?103) to those

SUBMITTER: Go H

PROVIDER: S-EPMC7191786 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Risk factors and treatments for disseminated intravascular coagulation in neonates.

Go Hayato H Ohto Hitoshi H Nollet Kenneth E KE Kashiwabara Nozomi N Ogasawara Kei K Chishiki Mina M Hiruta Shun S Sakuma Ichiri I Kawasaki Yukihiko Y Hosoya Mitsuaki M

Italian journal of pediatrics 20200429 1

<h4>Background</h4>Although disseminated intravascular coagulation (DIC) is a critical disease, there is few gold standard interventions in neonatal medicine. The aim of this study is to reveal factors affecting neonatal DIC at birth and to assess the effectiveness of rTM and FFP for DIC in neonates at birth.<h4>Methods</h4>We retrospectively evaluated DIC score on the first day of life in neonates with underlying conditions associated with DIC. DIC in neonates was diagnosed according to Japan S ...[more]

PMID: 32349778

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Project description:IntroductionSince disseminated intravascular coagulation (DIC) was first described, it has been considered a serious disease of the coagulation system and a major challenge to clinicians. Currently, several important knowledge gaps remain. The DANish Disseminated Intravascular Coagulation (DANDIC) Cohort Study will aim to answer questions regarding the incidence and mortality of patients with DIC including time trends. The study will also identify prognostic factors that may guide personalised prevention and treatment. Furthermore, the study will describe treatment patterns and the safety and effectiveness of various treatment modalities.Methods and analysisWe will establish the DANDIC Cohort using data collected in daily clinical practice from the Central Denmark Region, which covers approximately 1.3 million residents. The study period will encompass 1 January 2011 through 1 July 2021. Potential DIC cases will be identified from the hospital laboratory database, based on coagulation biomarkers, and diagnoses will be adjudicated by medical experts. The dataset will be enriched with detailed clinical data from electronic medical charts on aetiologies, bleeding, microthrombus formation, organ failure, thrombosis, treatments and comorbidities. The dataset will also take advantage of in-hospital data with longitudinal information on laboratory records, transfusions, microbiology and treatments. It will be possible to merge this dataset with other unique Danish health registries with more than 10 years of virtually complete follow-up. The project will use state-of-the-art epidemiological and biostatistical methods.Ethics and disseminationThe project has been approved by the Danish Patient Safety Authority (31-1521-452), the Central Denmark Region (1-45-70-83-21), the Danish Data Protection Agency (1-16-02-258-21) and all the hospital chairs. Register-based studies require no ethical approval in Denmark. The results will be disseminated in international peer-reviewed journals.

Project description:Many descriptive epidemiological and comparative studies using big data have been reported recently from outside Japan. Within Japan, diagnosis procedure combination (DPC) data and medical receipt data are being stored in electronic media, and real‐world evidence in various fields has started to be reported. We reviewed clinical studies on disseminated intravascular coagulation (DIC) using DPC data obtained from an insurance database with large numbers of cases and a related commercially available dataset including DPC and laboratory data. After DPC was introduced in 2003, 19 studies on DIC using Japanese national DPC data and two studies using the Medical Data Vision database were reported. Epidemiological findings in seven studies showed that the proportion of drugs administered for each underlying disease differed, with antithrombin and recombinant thrombomodulin (rTM) being used more frequently in clinical settings. In 14 comparative studies on anti‐DIC agents, antithrombin for severe pneumonia, postoperative intestinal perforation, and severe burn, and rTM for acute cholangitis were associated with improved survival rates. Large‐scale observational studies using big data can show results similar to those of randomized control trials if the quality of individual research is high. Real‐world data analysis will be increasingly necessary to complement the evidence gap unfilled by randomized control trials. Within Japan, diagnosis procedure combination (DPC) data and medical receipt data are being stored in electronic media, and real‐world evidence in various fields has started to be reported. We reviewed clinical studies on disseminated intravascular coagulation using DPC data obtained from an insurance database with large numbers of cases and a related commercially available dataset including DPC and laboratory data. Real‐world data analysis will be increasingly necessary to complement the evidence gap unfilled by randomized control trials.

Dataset Information

Risk factors and treatments for disseminated intravascular coagulation in neonates.

Publications

Risk factors and treatments for disseminated intravascular coagulation in neonates.

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