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1.
文章 在 英语 | WPRIM | ID: wpr-1042461

摘要

Objective@#Diminished ovarian reserve (DOR) is a disorder characterized by impaired ovarian function. Sleep disorders are disruptions of the circadian rhythm, which appears to be closely linked to reproductive systems. This study aimed to investigate the impact of poor sleep quality on the ovarian reserve of childbearing-age women. @*Methods@#A cross-sectional study was conducted in China from June 2021 to March 2023. In total, 102 participants diagnosed with chronic insomnia disorder were included in the study. Questionnaires were administered to assess participants' menstrual patterns, insomnia severity, anxiety, and depression. The anti-Müllerian hormone level and the basal antral follicle count were measured for ovarian reserve evaluation. Correlation analysis and ordinal logistic regression analysis were conducted. @*Results@#The women with insomnia presented high percentages of hypomenorrhea, premenstrual syndrome, and dysmenorrhea (78.4%, 74.5%, and 46.1%, respectively). Severe sleep disorder in the past month was identified as an independent risk factor for hypomenorrhea and premenstrual syndrome (odds ratio [OR], 2.64 and OR, 2.688; p<0.05). The prevalence of DOR among women with insomnia (33.3%) was significantly higher than the average reported in previous studies for young women. Insomnia duration exceeding 1 year was determined to be an independent risk factor for DOR in women aged 36 to 40 years (OR, 4.5; p=0.033). @*Conclusion@#This study highlights the association between sleep disorders and menstrual problems. Prolonged poor sleep quality in women aged 36 to 40 years was identified as a significant risk factor for DOR. We should pay more attention to improving sleep quality in order to maintain normal ovarian function.

2.
文章 在 中文 | WPRIM | ID: wpr-815222

摘要

OBJECTIVE@#To evaluate the early predictive and diagnostic significance of the acute kidney injury (AKI) associated biomarkers for patients in the intensive care unit (ICU).
@*METHODS@#From January to June, 2014, relevant clinical data of participants were collected upon admission to the intensive care unit (ICU) in Affiliated Hospital of Zunyi Medical College. Levels of serum cystatin C (sCys C), neutrophil gelatinase-associated lipocalin (sNGAL), urinary neutrophil gelatinase-associated lipocalin (uNGAL), urinary kidney injury molecule-1 (uKIM-1), interleukin-18 (uIL-18), and N-acetyl-beta-D-glucosaminidase (uNAG) were detected by enzyme linked immune sorbent assay (ELISA), and compared between AKI and non-AKI patients. Diagnostic significance of these biomarkers was evaluated by a receiver operating characteristic (ROC) curve and the area under the ROC curve.
@*RESULTS@#A total of 176 patients were enrolled in this study. Among them, 71 patients were diagnosed as AKI, in which 57 patients hospitalized with AKI and 14 developed AKI after 24 h hospitalization. The renal replacement therapy ratio was increased with the progress of clinical stage for AKI. AKI mortality rate was 18.8% (46.5% of the total number of deaths). The levels of sCys C, sNGAL, uNGAL, and uIL-18 in AKI patients were increased compared with those in the non-AKI patients (P<0.05). With the progress of AKI, sCys C, and uNGAL levels were also elevated. In 14 patients who suffered from AKI 24 h after hospitalization, the average levels of sCys C, uNGAL, uIL-18, and uKIM-1 were significantly increased (P<0.05). Sensitivity and specificity of the uNGAL, sCys C, and uIL-18 in AKI diagnosis were 97.2%, 76.1%, 54.9% and 93.3 %, 96.2%, 78.1%, respectively. The areas under the ROC curve of uNGAL, sCys C, and uIL-18 were 0.99, 0.90, and 0.69, respectively.
@*CONCLUSION@#uNGAL, sCys C and uIL-18 can be used to predict and diagnose AKI, and to evaluate the AKI clinical stage.


Subject(s)
Humans , Acetylglucosaminidase , Urine , Acute Kidney Injury , Blood , Diagnosis , Urine , Acute-Phase Proteins , Urine , Biomarkers , Blood , Urine , Case-Control Studies , Cystatin C , Blood , Enzyme-Linked Immunosorbent Assay , Hepatitis A Virus Cellular Receptor 1 , Intensive Care Units , Interleukin-18 , Urine , Lipocalin-2 , Lipocalins , Blood , Urine , Membrane Glycoproteins , Urine , Proto-Oncogene Proteins , Blood , Urine , ROC Curve , Receptors, Virus , Sensitivity and Specificity
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