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Purpose: Drug safety classifications give a very basic estimation of risk and should only be used as general guideline when assessing risk of pregnancy-related drug exposure or planning treatment. We conducted a study to assess the strength of association between both the clinical pharmacologists' risk assessment and the FDA risk categorization, and adverse pregnancy outcomes. Methods: We retrospectively reviewed records of 1,076 patients consecutively referred to the clinical pharmacology outpatient clinic for pregnancy-related drug exposure (2000-2008). Clinical pharmacologists' risk assessments were reviewed in relation to FDA drug categorization and available pregnancy outcomes. Results: Overall, clinical pharmacologists' risk estimation was in agreement with the FDA risk categorization system in only 28% of consulted women, and in only 9% of women with high-risk exposure (FDA DX). Clinical pharmacologists' risk assessment confirming high-risk drug exposure had a better positive predictive value for adverse pregnancy outcomes than the FDA DX categorization (25% vs 14% respectively), while the negative predictive values were similar (92% vs 94% respectively). Clinical pharmacologists' risk assessment was a better predictor of adverse pregnancy outcomes compared with FDA risk categorization (OR 2.11 [95%CI 1.5-3.1; p < 0.001] vs OR 1.52 [95%CI 1.1-2.1; p = 0.014] respectively). Conclusions: Additional evaluation beyond the FDA drug classification is essential for safer and more rational drug use in pregnancy. Clinical pharmacologists who have undergone rigorous medical training are ideally placed to consult on administration of medicines in pregnant women, thus making the prescribing of treatments in that patient category substantially safer and more rational. [ABSTRACT FROM AUTHOR]

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Aim: To analyze an additional set of ˝Y-chromosome genetic markers to acquire a more detailed insight into the diversity of the Croatian population., Methods: A total of 518 Yfiler Plus profiles were genotyped. Allele frequencies, haplotype frequencies, and haplotype diversity were calculated by using the STRAF software v. 2.0.4. Genetic distances were quantified by Rst with AMOVA online tool from the YHRD. The evolutionary history was inferred with the neighbor-joining method of phylogenetic tree construction in the MEGAX software. Whit Athey's Haplogroup Predictor v. 5 was used for additional comparison with regional and other European populations., Results: A total of 507 haplotypes were used for genetic STR analysis. An interpopulation study on 17 Y-STR markers showed the lowest genetic diversity between the Croatian and Bosnian-Herzegovinian populations and the highest between the Croatian and Irish populations. Additional interpopulation comparison with the original 27 Y-STR markers (for the population with available data) was also performed. A total of 518 haplotypes were used in the determination of haplogroup diversity. Haplogroup I with its sublineage I2a expressed the highest prevalence. The second most prevalent haplogroup was R, with its major sublineage R1a, except for the subpopulation of Hvar, where E1b1b was the second most prevalent haplogroup. Rare haplogroups also confirmed in this study were L, T, and Q. G1 was detected for the first time in the Croatian population., Conclusion: We obtained a new insight into the differences between examined subpopulations of Croatia and their possible (dis)similarities with neighboring and distant populations.