Objective To analyze the risk factors of permanent hypoparathyroidism(pHPP)after total thyroidectomy in patients with thyroid cancer and establish a nomogram prediction model.Methods A total of 245 patients with thyroid cancer who received total thyroidectomy in our hospital were enrolled between January 2020 and January 2024.According to presence or absence of postoperative pHPP,patients were divided into the pHPP group and the non-pHPP group.The influencing factors of postoperative pHPP in patients with thyroid cancer were analyzed by univariate and multivariate Logistic regression analysis.The nomogram prediction model for postoperative pHPP in patients with thyroid cancer was constructed and varified,and efficiency of the model was evaluated.Results In 245 patients with thyroid cancer,the incidence of pHPP within 6 months after surgery was 10.20%(25/245).Univariate analysis showed that there were significant differences in tumor size,surgical method,central lymph node dissection,use of nano carbon tracer,envelope invasion,parathyroid excision by mistake,Hashimoto thyroiditis,serum calcium and parathyroid hormone at 1 d after surgery between the two groups(P＜0.05),but there were no significant differences in gender,age,smoking,drinking,extraglandular invasion,parathyroid autologous transplantation,preoperative vitamin D or serum phosphorus at 1 d after surgery between the two groups(P＞0.05).Multivariate analysis showed that maximum tumor diameter≥4 cm,routine and open total thyroidectomy,central lymph node dissection,no use of nano carbon tracer and parathyroid excision by mistake were all independent risk factors for postoperative pHPP in patients with thyroid cancer(P＜0.05).Results of nomogram prediction model showed that C-index was 0.921,the corrected curve was close to ideal curve,and AUC of nomogram model for predicting postoperative pHPP was 0.926(95%CI:0.871-0.981).Conclusion The nomogram prediction model constructed based on independent risk factors of postoperative pHPP has good predictive efficiency in patients with thyroid cancer.

Objective To analyze the risk factors of permanent hypoparathyroidism(pHPP)after total thyroidectomy in patients with thyroid cancer and establish a nomogram prediction model.Methods A total of 245 patients with thyroid cancer who received total thyroidectomy in our hospital were enrolled between January 2020 and January 2024.According to presence or absence of postoperative pHPP,patients were divided into the pHPP group and the non-pHPP group.The influencing factors of postoperative pHPP in patients with thyroid cancer were analyzed by univariate and multivariate Logistic regression analysis.The nomogram prediction model for postoperative pHPP in patients with thyroid cancer was constructed and varified,and efficiency of the model was evaluated.Results In 245 patients with thyroid cancer,the incidence of pHPP within 6 months after surgery was 10.20%(25/245).Univariate analysis showed that there were significant differences in tumor size,surgical method,central lymph node dissection,use of nano carbon tracer,envelope invasion,parathyroid excision by mistake,Hashimoto thyroiditis,serum calcium and parathyroid hormone at 1 d after surgery between the two groups(P＜0.05),but there were no significant differences in gender,age,smoking,drinking,extraglandular invasion,parathyroid autologous transplantation,preoperative vitamin D or serum phosphorus at 1 d after surgery between the two groups(P＞0.05).Multivariate analysis showed that maximum tumor diameter≥4 cm,routine and open total thyroidectomy,central lymph node dissection,no use of nano carbon tracer and parathyroid excision by mistake were all independent risk factors for postoperative pHPP in patients with thyroid cancer(P＜0.05).Results of nomogram prediction model showed that C-index was 0.921,the corrected curve was close to ideal curve,and AUC of nomogram model for predicting postoperative pHPP was 0.926(95%CI:0.871-0.981).Conclusion The nomogram prediction model constructed based on independent risk factors of postoperative pHPP has good predictive efficiency in patients with thyroid cancer.

Objective: To investigate the prevalence characters of peripheral artery disease (PAD) and associated factors among people aged 35 and above in Beijing. Methods: This was a cross-sectional study. A total of 5 208 community-based individuals aged equal and above 35 in Beijing were chosen with stratified multistage random sampling method. Structure questionnaire was used to collected the information of demographic factors, habits and chronic disease history. Ankle brachial blood pressure was detected and ankle brachial index (ABI) was calculated. ABI was used to diagnose PAD (ABI≤0.90). Based on the 2010 Beijing Municipal Population Census, the age-and gender-specific weight-adjusted sample was acquired to estimate the prevalence of PAD and corresponding 95% confidence intervals (CI). Multivariate logistic regression analysis was performed to estimate the associated factors of PAD. Results: The age-and sex-standardized prevalence of PAD was 3.84% (200/5 208, 95%CI 3.32%-4.36%). There was no significant difference between male and female (3.83%(102/2 664, 95%CI 3.10%-4.56%) vs. 3.85% (98/2 544, 95%CI 3.10%-4.60%), P=0.965). The prevalence of PAD in urban was higher than that in rural (4.34% (163/3 755, 95%CI 3.69%-4.99%) vs. 2.55% (37/1 453, 95%CI 1.74%-3.36%), P=0.001). Furthermore, the prevalence of PAD increased with age (P_trend<0.01), and the difference between genders did not change with ageing (all P>0.05). In addition, age (OR=1.03, 95%CI 1.01-1.04), urban (OR=1.52, 95%CI 1.08-2.12), smoking (OR=1.83, 95%CI 1.29-2.59), hypertension (OR=1.61, 95%CI 1.17-2.22) and diabetes (OR=1.44, 95%CI 1.08-1.93) were related with increased risk of PAD in logistic regression analysis models. Conclusions The prevalence of PAD increases with age in Beijing and there are significant difference between urban and rural on prevalence of PAD. Age, urban, smoking, hypertension and diabetes are related with increased risk of PAD.

Objective To investigate the prevalence characters of peripheral artery disease (PAD) and associated factors among people aged 35 and above in Beijing. Methods This was a cross?sectional study. A total of 5 208 community?based individuals aged equal and above 35 in Beijing were chosen with stratified multistage random sampling method. Structure questionnaire was used to collected the information of demographic factors, habits and chronic disease history. Ankle brachial blood pressure was detected and ankle brachial index (ABI) was calculated. ABI was used to diagnose PAD (ABI≤0.90). Based on the 2010 Beijing Municipal Population Census, the age?and gender?specific weight?adjusted sample was acquired to estimate the prevalence of PAD and corresponding 95% confidence intervals ( CI ). Multivariate logistic regression analysis was performed to estimate the associated factors of PAD. Results The age?and sex?standardized prevalence of PAD was 3.84% (200/5 208, 95%CI 3.32%-4.36%). There was no significant difference between male and female (3.83%(102/2 664 ,95%CI 3.10%-4.56%) vs. 3.85% (98/2 544,95% CI 3.10%-4.60%), P=0.965). The prevalence of PAD in urban was higher than that in rural (4.34% (163/3 755,95%CI 3.69%-4.99%) vs. 2.55% (37/1 453,95%CI 1.74%-3.36%), P=0.001). Furthermore, the prevalence of PAD increased with age (Ptrend<0.01), and the difference between genders did not change with ageing (all P>0.05). In addition, age (OR=1.03, 95%CI 1.01-1.04), urban (OR=1.52, 95%CI 1.08-2.12), smoking ( OR=1.83, 95%CI 1.29-2.59), hypertension ( OR=1.61, 95%CI 1.17-2.22) and diabetes (OR=1.44, 95%CI 1.08-1.93) were related with increased risk of PAD in logistic regression analysis models. Conclusions The prevalence of PAD increases with age in Beijing and there are significant difference between urban and rural on prevalence of PAD. Age, urban, smoking, hypertension and diabetes are related with increased risk of PAD.