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- 저자 : van Rossum (검색결과 2 건)
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Ivone Castro-Vale,Elisabeth F,C,van Rossum,Sabine M,Staufenbiel,Milton Severo,Rui Mota-Cardoso,Davide Carvalho 대한신경정신의학회 2020 PSYCHIATRY INVESTIGATION Vol.17 No.10
Objective Posttraumatic stress disorder (PTSD) has been associated with lower circulating cortisol levels in specific subgroups, which have also been found in the offspring of people with PTSD. The analysis of hair cortisol concentrations (HCC) is a recent methodology which is used to assess long-term systemic cortisol levels. We aimed to study veterans with war-related lifetime PTSD and their respective offspring with regards to HCC. We also studied the influence of lifetime major depressive disorder (MDD), war experiences, and childhood adversities on HCC in these groups.Methods 31 male veterans with PTSD and 28 without PTSD and 69 adult offspring were studied. HCC were quantified by liquid chromatography tandem-mass spectrometry.Results No differences in HCC were found between veterans with and without PTSD, or between their respective offspring. Veterans without MDD showed a positive association between total war exposure and HCC. Veterans reporting more frequent childhood physical abuse had lower HCC. Veterans-with-PTSD’s offspring with MDD had increased HCC compared to offspring without MDD. Offspring’s exposure to more frequent childhood physical abuse was negatively associated with HCC in those without MDD.Conclusion HCC did not appear to constitute a marker of intergenerational heritage of war-related PTSD, except in the case of veteranswith-PTSD’s offspring with MDD. Our data suggest that HCC is a marker of adult reported childhood physical abuse.
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Niek B. Achten,J. Wendelien Dorigo-Zetsma,Annemarie M.C. van Rossum,Rianne Oostenbrink,Frans B. Plötz 대한소아청소년과학회 2020 Clinical and Experimental Pediatrics (CEP) Vol.63 No.10
Background: The early-onset sepsis (EOS) calculator was developed and validated in a setting with routine-based group B Streptococcus (GBS) screening. Purpose: The study aimed to evaluate the extent of influence exerted by risk-based GBS screening on management recommendations by the EOS calculator. Methods: All newborns with a gestational age greater than 35 weeks were screened for EOS risk factors in a Dutch regional teaching hospital using a risk-based GBS screening strategy. We calculated the EOS risk at birth and stratified the infants into the following 3 risk levels with corresponding management recommendations: low, <0.65; intermediate, 0.65–1.54; and high, >1.54 per 1000 live newborns. Thereafter, we recalculated the EOS risk and recommendation for the newborn infants without available maternal GBS screening results at birth. Results: In one year, 1,877 eligible births occurred; of them, 206 infants were included. Maternal GBS status was available for 28 of 206 infants (14%) at birth, while a definitive GBS status was later available for 162 of 206 infants (79%). Median EOS risk was slightly lower after definitive GBS status was determined (0.41 vs. 0.46 per 1,000 live births, P=0.004). In 199 of 206 newborn infants (97%), the EOS calculator recommendation remained unchanged after the GBS results unavailable at birth were updated to definitive GBS status. Use of GBS status at birth versus definitive GBS status did not result in the withholding of antibiotic treatment of the newborn infants included in this study. Conclusion: Risk-based GBS screening is compatible with EOS calculator recommendations. Larger studies are needed to develop the best strategy for combining GBS screening and EOS calculator recommendations.
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