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IMPORTANCE: This study assesses resting genital hiatus (GH) measurements under anesthesia as compared with in-office measurements for intraoperative planning purposes. OBJECTIVES: The aim of this study was to determine the influence of general anesthesia and apical suspension on GH measurements compared with office measurements. STUDY DESIGN: This was a retrospective cohort of women who underwent minimally invasive sacrocolpopexy within an academic urogynecology practice. Genital hiatus for each patient was measured at 4 time points: (1) preoperative office examination (baseline) at rest (GH rest ) and with strain (GH strain ); (2) following anesthesia induction, at rest (GH induction ); (3) immediately after sacrocolpopexy, at rest (GH colpopexy ); and (4) 4- to 6-week postoperative visit, strain (GH postop ). Enlarged baseline GH strain was defined as ≥4 cm. Paired statistics and analysis of variance were used for comparisons. RESULTS: Fifty-one women were included, whose mean age was 61.3 ± 8.2 years; the majority had stage ≥3 prolapse (n = 39 [76.4%]). Concomitant procedures included hysterectomy (n = 33 [64.7%]) and posterior colporrhaphy or perineorrhaphy (n = 8 [15.7%]). The majority had an enlarged baseline GH strain (n = 39 [76.4%]), and overall cohort mean was 4.7 ± 1.3 cm. Compared with baseline GH rest , mean GH induction was larger (GH induction : 4.6 ± 1.4 cm vs GH rest : 3.8 ± 1.2 cm, P < 0.01) but not different from baseline GH strain (GH induction : 4.6 ± 1.4 cm vs GH strain : 4.7 ± 1.3 cm, P = 0.81). GH colpopexy was decreased from baseline GH strain with a mean difference of 1.1 ± 1.3 cm ( P < 0.01). This difference was driven by women with enlarged baseline GH strain who experienced a mean decrease of 1.5 ± 1.1 cm ( P < 0.01). CONCLUSIONS: Genital hiatus after induction of anesthesia does not significantly differ from preoperative straining GH. Apical suspension with sacrocolpopexy alone resulted in immediate reduction in GH measures, with greater decreases observed in women with enlarged preoperative GH.

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Dilated cardiomyopathy (DCM) has been in the literature and news because of the recent opinion-based journal articles and public releases by regulatory agencies. DCM is commonly associated with a genetic predisposition in certain dog breeds and can also occur secondary to other diseases and nutritional deficiencies. Recent communications in veterinary journals have discussed a potential relationship between grain-free and/or novel protein diets to DCM, citing a subjective increase in DCM in dog breeds that are not known to have a genetic predisposition for the disease. This literature review describes clinical presentations of DCM, common sequelae, treatment and preventative measures, histopathologic features, and a discussion of the varied etiological origins of the disease. In addition, current literature limitations are addressed, in order to ascertain multiple variables leading to the development of DCM. Future studies are needed to evaluate one variable at a time and to minimize confounding variables and speculation. Furthermore, to prevent sampling bias with the current FDA reports, the veterinary community should be asked to provide information for all cases of DCM in dogs. This should include cases during the same time period, regardless of the practitioner's proposed etiology, due to no definitive association between diets with specific characteristics, such as, but not limited to, grain-free diets and those containing legumes, novel protein diets, and those produced by small manufacturers to DCM in dogs. In summary, in order to determine if certain ingredients, categories of diets, or manufacturing processes are related to an increased risk of DCM, further studies investigating these variables are necessary.

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Maca (Lepidium meyenii, synonym L. peruvianum) was analyzed using a systematic approach employing principal component analysis of flow injection mass spectrometry fingerprints (no chromatographic separation) to guide the selection of samples for metabolite profiling and DNA next generation sequencing. Samples consisted of 39 commercial maca supplements from 11 manufacturers, 31 unprocessed maca tubers grown in Peru and China, and a historic non-tuber maca sample from Peru. Principal component analysis of flow injection mass spectrometry fingerprints initially placed all the maca samples in three classes with similar chemical composition: commercial maca samples, tubers grown in Peru, and tubers grown in China. Metabolite profiling identified 67 compounds in the negative mode and 51 compounds in the positive mode. Compounds identified by metabolite profiling (macamides, glucosinolates, amino acids, fatty acids, polyunsaturated fatty acids, saccharides, imidazoles) were then used to identify ions in the flow injection mass spectrometry fingerprints. The tuber fingerprints were analyzed by factorial multivariate analysis of variance revealing that black, red, and yellow maca from Peru and black and yellow maca from China were compositionally different with respect to color and country. Critical ions were identified that allowed for the differentiation of maca between colors from the same country or between two countries with the same color. Genetically, all samples were confirmed to be L. meyenii based on next generation sequencing at three gene regions (ITS2, psbA, and trnL) and comparison to recorded sequences of vouchered standards.

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