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Background Pregnancy has been considered a risk factor for the development of osteoporosis. Despite much research in this field, the relationship between parity and bone mineral density (BMD) is still controversial. Therefore, we conducted this study to investigate whether there was an association between parity and BMD of the femoral neck and lumbar spine in postmenopausal women. Methods Cross-sectional study was conducted using data from the National Health and Nutrition Examination Survey (NHANES). Three linear regression models, Model 1 (unadjusted), Model 2 (adjusted for age and body mass index (BMI)), and Model 3 (adjusted for all covariates), were established to evaluate the relationship between parity and BMD. In addition, the p value trend of BMD in the different parity groups was mutually verified with the results of multiple regression. Multiple logistic regression models were used to assess the relationship between parity and osteoporosis. Results In total, 924 postmenopausal women aged 45–65 years were eligible for this study. After adjustment for potential confounders, women with ≥ 6 parities had significantly lower lumbar spine BMD than women with 1–2 parities (β = − 0.072, 95% CI: − 0.125, − 0.018, P = 0.009). However, there was no correlation between parity and femoral neck BMD in any of the three regression models. Furthermore, ≥ 6 parities were associated with a significantly higher prevalence of lumbar spine osteoporosis compared with 1–2 parities (OR = 3.876, 95% CI: 1.637, 9.175, P = 0.002). Conclusions After adjustment for BMD-related risk factors, ≥ 6 parities were associated with decreased lumbar spine BMD but not femoral neck BMD in postmenopausal women. This suggests that postmenopausal women with high parity are at increased risk of lumbar osteoporotic fractures and should pay more attention to their bone health.

Background Age at menarche (AAM) directly affects female estrogen levels, which play a vital role in bone metabolism. The exact relationship between bone mineral density (BMD) and AAM remains controversial. Thus, this study aimed to determine the association between AAM and lumbar spine (LS) BMD in postmenopausal women. Methods Our data were based on the National Health and Nutrition Examination Survey (NHANES) 2011–2018. AAM was divided into three categories including ≤ 12, 13–15, and ≥ 16 years, and the ≤ 12 years old category was used as the reference group. To examine the association between AAM and LS BMD, we used three weighted linear regression models, Model 1 (without adjustment), Model 2 (with adjustment for age, race, and body mass index [BMI]), and Model 3 (with adjustment for all covariates). Results This study included 1195 postmenopausal women aged 40–59 years. In the unadjusted model, a menarche age of ≥ 16 years compared with a menarche age of ≤ 12 years was associated with lower LS BMD (β = − 0.083, 95% CI − 0.117, − 0.048, P < 0.001). After adjusting for potential confounding factors, there was still a negative correlation in model 2 (β = − 0.078, 95% CI − 0.113, − 0.042, P < 0.001) and model 3 (β = − 0.065, 95% CI − 0.096, − 0.033, P < 0.001). Moreover, this significant relationship persisted after excluding participants who used female hormones (β = − 0.053, 95% CI − 0.089, − 0.016, P = 0.006). Conclusion Our study found that postmenopausal women with a menarche age of ≥ 16 years had significantly lower LS BMD than that had by those with a menarche age of ≤ 12 years. As a result of this study, postmenopausal women with a late menarche age may have a higher risk of lumbar osteoporotic fractures and need better bone health care.

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Introduction: In clinical diagnosis and treatment, we found that PLT counts failed to increase significantly or even decreased progressively in some patients after receiving PLT transfusion. Objective: The aim of this study was to observe the therapeutic effect of platelet (PLT) transfusion and analyze influencing factors for the sake. Methods: Included in this study were patients who received PLT transfusion in our hospital. Patients’ sex, age, height, weight, PLT transfusion status, and 20-24-h PLT count before and after PLT transfusion were collected to calculate the PLT corrected count increment (CCI) values before and after PLT transfusion. Solid-phase red cell adherence assay was used to determine PLT antibody. Results: A total of 364 patients received 1060 PLT transfusions, including 728 successful transfusions and 332 unsuccessful transfusions. When the patients were grouped according to different etiologies, significant differences in PLT transfusion effectiveness were observed between these groups (χ2 = 15.070, p < 0.05). Grouping of the 364 patients according to sex, blood type and PLT transfusion frequency showed no significant difference in PLT transfusion refractoriness (PTR) between different age groups and sexes (p > 0.05). With the number of PLT transfusions increasing, PTR increased gradually. PLT antibodies were detected of 364 patients, 67 of them were positive. Among them, 63 cases (94.02%) were positive for HLA class I antibody. Conclusion: To reduce PTR, multiple factors should be considered comprehensively when PLT transfusion therapy is to be implemented in clinical practice. PLT antibody is the main immune factor causing PTR.