目的：分析急性有机磷农药中毒（AOPP）引发缺血缺氧性脑病预后相关因素，建立相关的预后预测模型。方法：回顾性分析90例（33例预后不良、57例预后良好）AOPP致HIE患者（2022年3月～2025年8月）的临床资料、中毒指标和血清学指标，独立危险因素用Logistic回顾分析筛选，并构建预后不良预测模型，采用ROC工具对模型效能进行验证。结果：Logistic 回归分析显示，年龄≥60岁、重度中毒、中毒至就诊时间、LAC水平、CHE水平、CRP水平及NSE水平均为患者预后不良的独立危险因素（P＜0.05）；AUC、灵敏度、特异度为0.943、90.91%、87.72%。结论：高龄、中毒程度高及中毒至就诊时间长等因素可导致AOPP致HIE患者出现不良结局，据此构建风险预测模型可有效预测预后不良的发生风险。
To determine the key impacting factors for hypoxic ischemic encephalopathy (HIE) caused by acute organophosphorus pesticide poisoning (AOPP) and build a prediction model. Methods: The clinical data, poisoning indicators and serological indicators of 90 patients (33 cases with poor prognosis and 57 cases with good prognosis) with HIE caused by AOPP (from March 2022 to Aug 2025) were analyzed. Independent risk factors were screened using logistic retrospective analysis, and a poor prognosis prediction model was constructed. The model efficiency was verified by the receiver operating curve (ROC). Results: Logistic regression analysis showed that age ≥ 60 years, severe poisoning, time from poisoning to treatment, LAC level, CHE level, CRP level, and NSE level were all risk factors for the prognosis in patients (P < 0.05). The AUC, sensitivity, and specificity were 0.943, 90.91%, and 87.72%.Conclusion: Factors such as advanced age, high degree of poisoning, and long time from poisoning to treatment can lead to adverse outcomes in patients with HIE caused by AOPP. Based on this, building a risk prediction model can effectively predict the risk of poor prognosis.
目的 识别经皮冠状动脉介入治疗（PCI）后恐动症患者抑郁、焦虑和压力的影响因素。方法 采用横断面研究，纳入780例行PCI术后恐动症患者。应用系列量表评估恐动症患者的不良心理健康状况、生活质量、自我感受负担、社会支持和运动自我效能，并通过问卷收集了患者的社会人口学数据。线性回归和Logistic回归用于识别抑郁、焦虑和压力等不良心理状态的影响因素，应用中介分析探索潜在的中介机制。结果 271例（34.7%）、304例（39.0%）和153例（19.6%）恐动症患者存在不同程度的抑郁、焦虑和压力。恐动症患者的抑郁、焦虑和压力水平呈正相关。线性回归和Logistic分析结果表明，较高的家庭月收入与较高的抑郁水平相关（线性回归：β为0.908和1.937；Logistic：OR为2.05和5.47），社会支持程度与抑郁水平呈负相关（线性回归：β=-0.079；Logistic：OR=0.93）。单身/离异/寡居患者的焦虑水平显著高于已婚患者（线性回归：β=1.613；Logistic：OR=2.28）。与家庭月收入低于5 000元者相比，家庭月收入为5 000~10 000元之间的患者的压力水平较高（线性回归：β=1.065；Logistic：OR=3.14）。此外，自我感受负担较重的患者具有更高的压力水平（线性回归：β=0.077；Logistic：OR=1.05）。中介分析结果表明，焦虑和压力是社会支持/自我感受负担与抑郁之间关联的潜在中介因子。结论 PCI术后恐动症患者广泛存在心理健康问题，其家庭月收入、年龄、婚姻状况、生活方式和病史等因素对患者的不良心理健康状态具有显著影响。医务人员应关注这些患者的心理健康状况及影响因素，制定综合管理策略以改善其预后。
Objective To identify the risk factors associated with depression，anxiety and stress in patients with kinesiophobia after percutaneous coronary intervention（PCI）．Methods In this cross-sectional study，780 patients who developed kinesiophobia after undergoing PCI were enrolled．A series of scales were used to assess the psychological health status，quality of life，self-perceived burden，social support，and exercise self-efficacy of patients with kinesiophobia，and socio-demographic data of the patients were collected through a questionnaire．Linear regression analyses and Logistic regression analyses were used to identify risk factors of adverse psychological outcomes，including depression，anxiety，and stress．Furthermore，mediation analysis was employed to explore the potential mediating mechanisms．Results Among the 780 patients with kinesiophobia，271（34.7%），304（39.0%）and 153（19.6%）were found to have varying degrees of depression，anxiety，and stress，respectively．The levels of depression，anxiety and stress in patients with kinesiophobia were positively correlated with each other．The results of both linear regression and Logistic regression analyses indicated that higher levels of family monthly income were associated with higher levels of depression（linear：β=0.908 and 1.937；Logistic：OR=2.05 and 5.47），while the degree of social support was negatively correlated with depression levels（linear：β=-0.079；Logistic：OR=0.93）．For patients who were single，divorced or widowed，their levels of anxiety were significantly higher than those of married patients（linear：β=1.613；Logistic：OR=2.28）．Compared to patients with a monthly household income of less than 5 000 yuan，those with a monthly income between 5 000 and 10 000 yuan reported higher levels of stress（linear：β=1.065；Logistic：OR=3.14）．Additionally，patients who perceived a higher personal burden also experienced greater stress（linear：β=0.077；Logistic：OR=1.05）．Mediation analysis indicated that anxiety and stress were potential mediating factors in the relationship between social support/self-perceived burden and depression．Conclusions This study reported the widespread psychological health issues among patients with kinesiophobia after PCI and the interactions between these issues．Factors such as monthly household income，age，marital status，lifestyle and medical history were found to be significantly associated with these negative psychological outcomes．Clinicians and nurses should focus on the psychological health and influencing factors of these patients and develop comprehensive management strategies to improve their prognosis．
目的 探讨女性医务人员月经改变的影响因素及与心理状态的相关性。方法 对深圳市3家医院女性医护人员进行随机抽样得到869份问卷调查样本，均为知情自愿参与本项调查研究。统计女性医务人员出现女性月经改变的比率和月经改变的基本特征，并采用单因素和多因素分析的方法分析影响月经改变因素。并以抑郁症筛查量表（PHQ-9）评估女性医护人员的心理状态，分析女性医务人员月经改变与心理状态评分间相关性。结果 869名女性医护人员中有293例发生月经改变，改变率为33.72%，其中月经周期改变94例、经期时间改变86例、月经量改变68例、痛经改变45例。将869例女性医护人员分为月经正常组和月经改变组，经单因素分析，两组间的年龄、职业、值夜班频率、既往病史、新冠感染等比较差异无统计学意义（P＞0.05）。月经改变组的护士占58.36%高于月经正常的24.48%，月经改变组的新冠一线抗疫人员占64.51%高于月经正常的27.08%，月经改变组合并妇科疾病史的占比20.82%（61例）高于月经正常组的占比11.98%（69例）。而月经改变组的护士、新冠一线抗疫人员、合并妇科疾病史、新冠感染的比较差异有统计学意义（P＜0.05）。多因素分析显示，职业为护士、合并妇科疾病史、新冠一线抗疫人员的P值分别为0.001、0.004、＜0.001，故而职业为护士、合并妇科疾病史、新冠一线抗疫人员是女性医务人员月经改变的危险因素。月经改变组PHQ-9评分为9.10±2.57，月经正常组PHQ-9评分为5.98±1.06，月经改变组PHQ-9评分高于月经正常组（P＜0.001）。两组受试者PHQ-9评分比较差异具有统计学意义，月经改变组PHQ-9评分中0～4分受试者为26.3%，月经正常组为47.2%，月经改变组PHQ-9评分中0～4分者比例小于月经正常组，差异具有统计学意义（P＜0.05）。结论 女性医务人员中职业为护士、合并妇科疾病史、新冠一线抗疫人员是月经改变的主要危险因素，且月经改变与心理状态有密切的相关性，需引起医疗机构的关注。
Objective To analyze the influencing factors of menstruation changes of female medical staff and the correlation with their psychological status．Methods The female medical staff in three hospitals of Shenzhen were randomly sampled to get 869 questionnaires，with informed and willing to participate in this research．The rate of female menstruation changes and the basic characteristics of menstruation changes in female medical staff were calculated，and the influencing factors of menstruation changes were analyzed by single factor and multi factor analysis．And the psychological status of female medical staff was using the Depression Screening Scale （PHQ-9），and the correlation between menstrual changes and psychological status scores of female medical staff were analyzed．Results Among 869 female medical staff，293 had hemorrhagic menstrual disease，with a change rate of 33.72%．Among them，94 had changes in menstrual cycle，86 had changes in menstrual period days，68 had changes in menstrual volume，and 45 had changes in dysmenorrhea．These 869 female medical staff were divided into normal menstruation group and menstrual change group．Through single factor analysis，there was no statistical difference between the two groups in terms of age，careers，night shift frequency，previous medical history，COVID-19 infection （P＞0.05）．The percentage of nurses in the menstrual change group was 58.36%，higher than that of 24.48% in the normal menstruation group．The percentage of frontline medical staff combating COVID-19 in the menstrual change group was 64.51%，higher than that of 27.08% in the normal menstruation group．And the percentage of menstrual change group with a history of combined gynecological diseases was 20.82% （61 cases），higher than that of the normal menstruation group was 11.98% （69 cases）．And the difference was statistically significant when comparing the ratio of nurses，the frontline medical staff combating COVID-19，the history of gynecological diseases，and COVID-19 infection in the menstrual change group （P＜0.05）．Multivariate analysis showed that the occupation of nurses，frontline medical staffs combating COVID-19，and history of gynecological diseases were the risk factors for menstrual changes．The PHQ-9 score of the menstrual change group was higher than that of the normal menstrual group，and the difference was statistically significant．Conclusions The main risk factors for menstrual changes are nurses，frontline anti-epidemic staff，and women with gynecological disease history．Menstrual changes are closely related to mental status，attention from healthcare organizations．
