基于标准化患者法评价四川农村基层医生两种慢性病诊断准确性及其影响因素

目的 运用标准化患者法评估四川农村地区基层医生不稳定型心绞痛和2型糖尿病两种慢性病诊断准确性现状,探讨基层医生两种慢性病诊断准确性的主要影响因素,为提升基层医生两种慢性病诊断准确性提供科学依据。方法 采用多阶段随机整群抽样方法,抽取四川省自贡市5个区/县50个乡镇100个村为研究现场,以调查当日在岗的全科及内科医生作为研究对象。共进行两轮数据采集,第1轮采集样本乡镇卫生院和村卫生室医生的基本信息;第1轮调查完成1个月后,运用标准化患者法开展第2轮调查,收集农村基层医生对不稳定型心绞痛和2型糖尿病诊断结果信息。运用Logistic回归分析农村基层医生不稳定型心绞痛和2型糖尿病诊断准确性的影响因素。结果 共纳入172名农村基层医生,完成186次标准化患者访问,正确诊断率为48.39%。其中不稳定型心绞痛的正确诊断率为18.68%(17/91),2型糖尿病的正确诊断率为76.84%(73/95)。Logistic回归分析显示,具有执业医师资质的农村基层医生更有可能做出正确诊断(OR=4.857,95%CI=1.076~21.933,P=0.040)。农村基层医生在诊断过程中涉及的必要问诊和检查条目越多,做出正确诊断的概率越高(OR=1.627,95%CI=1.065~2.485,P=0.024)。与不稳定型心绞痛相比,农村基层医生对2型糖尿病做出正确诊断的可能性更高(OR=6.306,95%CI=3.611~11.013,P<0.001)。结论 四川农村基层医生不稳定型心绞痛和2型糖尿病诊断准确性整体较差,建议以基层医生慢性病诊断过程质量改善为突破口,提升基层医生执业水平,进而提高慢性病诊断准确性。     

血液肿瘤患者化疗后肛周感染危险因素病例对照研究

目的 探讨血液肿瘤患者接受化疗后发生肛周感染的危险因素。方法 采用回顾性病例对照研究的方法,对四川省某三级甲等医院血液内科2020年12月—2021年5月收治的进行化疗的348例血液肿瘤住院患者相关资料（人口学特征、疾病特征、医疗及护理病例记录、实验室检查结果）予以回顾性分析,根据出院诊断发生肛周感染的病例作为病例组,其余病例作为对照组,统计血液肿瘤患者接受化疗后肛周感染的发生率,采用单因素分析和二元Logistic回归分析肛周感染的危险因素。结果 348例血液肿瘤化疗患者,发生肛周感染35例,感染率为10.1%;Logistic回归分析显示,年龄<60岁（OR=8.776,P=0.039）、痔疮史（OR=7.733,P<0.001）、肛周感染史（OR=14.981,P<0.001）、腹泻（OR=3.893,P=0.019）及白细胞计数<1×10⁹/L（OR=6.851,P=0.002）是血液肿瘤患者接受化疗后发生肛周感染的独立危险因素。结论 血液肿瘤患者接受化疗后肛周感染的发生率较高,年龄<60岁、痔疮史、肛周感染史、腹泻、白细胞计数<1×10⁹/L导致血液肿瘤化疗患者肛周感染率增加,在护理化疗期的血液肿瘤患者过程中,应该结合肛周感染的危险因素,采取针对性干预措施,降低肛周感染发生率。     

基层医疗卫生机构居家护理服务的安全支持和医务人员服务意愿调查研究

背景 人口老龄化趋势下，罹患多种慢性病的失能或半失能老年人对居家医疗护理服务需求迫切，但基层医务人员提供居家医疗护理服务存在较大的医疗风险和安全隐患，加强居家医疗护理服务的安全管理，有利于提高基层医务人员提供居家医疗护理服务的意愿。 目的 调查基层医疗卫生机构对居家护理服务的安全支持情况和医务人员的服务意愿，为进一步推动居家医疗护理服务发展提供参考依据。 方法 2021年8—10月，采用便利抽样法在四川省五大经济区抽取49所基层医疗卫生机构的1 131例医务人员。自行设计调查问卷，以"问卷星"电子问卷的形式收集资料。问卷内容包括医务人员的一般情况（8个条目）、提供居家医疗护理服务的经历（2个条目）、医疗机构对医务人员的安全支持（7个条目）、医务人员的居家医疗护理服务意愿（1个条目）。比较不同特征医务人员提供居家医疗护理服务的意愿，采用二元Logistic回归分析医务人员提供居家医疗护理服务意愿的影响因素。 结果 1 131例基层医务人员中，692例（61.18%）报告有过居家医疗护理服务的经历，193例（17.06%）报告在服务过程中发生过不良事件/安全事件，531例（46.95%）报告其所在医疗机构未评估过患者接受居家医疗护理服务的安全风险，199例（17.60%）表示所在机构评估了医务人员提供居家医疗护理服务的安全风险，299例（26.44%）在居家医疗护理服务过程中使用APP定位系统，273例（24.14%）由机构配备报警、延迟预警等设备，807例（71.35%）表示居家医疗护理服务过程中没有获得所在机构内其他医务人员的支持措施，303例（26.79%）表示机构曾组织居家医疗护理服务的专项研讨活动，352例（31.12%）表示接受过有关居家医疗护理服务专项培训，853例（75.42%）表示愿意提供居家医疗护理服务。二元Logistic回归分析结果显示，就职的基层医疗卫生机构类型，目前受聘的专业技术职称，医疗机构是否评估过患者接受居家医疗护理服务的安全风险，在居家医疗护理服务过程中是否配备报警、延迟预警等设备，是否参加过有关居家医疗护理服务的专项培训，对医务人员提供居家医疗护理服务意愿有影响（P<0.05）。 结论 现阶段居家医疗护理服务的安全支持不足，多种因素影响基层医务人员提供居家医疗护理服务的意愿。基层医疗卫生机构应加强对患者接受居家医疗护理服务安全风险的评估，为提供居家医疗护理服务的医务人员配备报警、延迟预警等设备，积极举办居家医疗护理服务相关的专项培训并鼓励医务人员参加，以降低医务人员提供居家医疗护理服务的风险，保障其人身安全。     

The usefulness of measuring n-butyric acid concentration as a new indicator of blood decomposition in forensic autopsy

In forensic medicine, although various alcohols have been reported as indicators of decomposition in collected blood, no studies have examined short-chain fatty acids as indicators. In this study, the blood n-butyric acid concentration was quantified, and the association between n-butyric acid and decomposition was investigated to determine whether the detection of n-butyric acid could be a new indicator of decomposition. Among the forensic autopsies performed from 2016 to 2018 in our laboratory, the cases were divided into decomposed (n = 20) and non-decomposed (n = 20) groups based on macroscopic findings. Blood samples collected at the time of autopsy were derivatized with 3-nitrophenylhydrazine hydrochloride after solid-phase extraction. The n-butyric acid concentration was measured using liquid chromatography–tandem mass spectrometry. In addition, ethanol and n-propanol were measured using a gas chromatography-flame ionization detector. There was a significant difference (p < 0.01) in the concentrations of n-butyric acid between the decomposed and non-decomposed groups (0.343 ± 0.259 [0.030–0.973] and 0.003 ± 0.002 [0.001–0.007] mg/mL, respectively). In the decomposed group, n-butyric acid was detected at high concentrations, even in cases where n-propanol was low. These results suggest that n-butyric acid is more likely to be an indicator of blood decomposition than n-propanol.     

Ankle fractures: High implant cost is not associated with better patient reported outcomes

IntroductionAnkle fractures comprise 9% of all fractures and are among the most common fractures requiring operative management. Open reduction and internal fixation (ORIF) with plates and screws is the gold standard for the treatment of unstable, displaced ankle fractures. While performing ORIF, orthopaedic surgeons may choose from several fixation methods including locking versus nonlocking plating and whether to use screws or suture buttons for syndesmotic injuries.Nearly all orthopaedic surgeons treat ankle fractures but most are unfamiliar with implant costs. No study to date has correlated the cost of ankle fracture fixation with health status as perceived by patients through patient reported outcomes (PROs). The purpose of this study was to determine whether there is a relationship between increasing implant cost and PROs after a rotational ankle fracture.MethodsAll ankle fractures treated with open reduction internal fixation (ORIF) at a level I academic trauma center from January 2018 to December 2022 were identified. Inclusion criteria included all rotational ankle fractures with a minimum 6-month follow-up and completed 6-month PRO. Patients were excluded for age <18, polytrauma and open fracture. Variables assessed included demographics, fracture classifications, Foot and Ankle Ability Measure-Activities of Daily Living (FAAM-ADL) score, implant type, and implant cost.ResultsThere was a statistically significant difference in cost between fracture types (p < 0.0001) with trimalleolar fractures being the most expensive. The mean FAAM-ADL score was lowest for trimalleolar fractures at 78.9, 95% CI [75.5, 82.3]. A diagnosis of osteoporosis/osteopenia was associated with a decrease in cost of $233.3, 95% CI [−411.8, −54.8]. There was no relationship between syndesmotic fixation and implant cost, $102.6, 95% CI [−74.9, 280.0]. There was no correlation between implant cost and FAAM-ADL score at 6 months (p = 0.48).ConclusionsThe utilization of higher cost ankle fixation does not correlate with better FAAM-ADL scores. Orthopaedic surgeons may choose less expensive implants to improve the value of ankle fixation without impacting patient reported outcomes.     

A case of sudden cardiac death due to mitochondrial disease

A 25-year-old, emaciated man without medical treatment was found to have died suddenly at home by his mother. At autopsy, there were no injuries to his body, but significant circulatory insufficiency was observed. Electron microscopy revealed abnormal mitochondria in cells of the cardiac conduction system. The conduction system was filled with mitochondrial size abnormalities and mitochondrial cristae abnormalities. No notable abnormal findings were observed in other organs. Genetic examination of the blood revealed the mitochondrial pathogenetic variant m.3243A>G. Epileptic seizures, diabetic ketoacidosis, and hyperosmolar hyperglycemic state were unlikely to be the cause of sudden death. The cause of death was diagnosed as arrhythmia possibly induced by the failure of the cardiac conduction system due to mitochondrial disease. This is a rare case of sudden death caused by an accumulation of abnormal mitochondria in the cardiac conduction system.     

The effect of drugs on implant osseointegration- A narrative review

ObjectiveThis narrative review aims to investigate the effects of drugs on implant osseointegration, analyzing their potential positive or negative impact on the direct structural and functional connection between bone and load-carrying implants.BackgroundThe review seeks to provide a comprehensive understanding of osseointegration, which refers to the successful integration of an implant with living bone, resulting in no progressive relative movement between them. Exploring the effects of drugs on implant osseointegration is crucial for optimizing outcomes and enhancing patient care in orthopedic implant procedures.MethodsRelevant studies on the effects of drugs on implant osseointegration were identified through a literature search. Electronic databases, including PubMed, Embase, and Google Scholar, were utilized, employing appropriate keywords and MeSH terms related to osseointegration, implants, and drug interventions. The search was limited to English studies.DiscussionThis overview presents a detailed analysis of the effects of drugs on implant osseointegration. It explores drugs such as bisphosphonates, teriparatide, statins, angiotensin-converting enzyme inhibitors, beta-blockers, nitrites, and thiazide diuretics as promoters of osseointegration. Conversely, loop diuretics, non-steroidal anti-inflammatory drugs, corticosteroids, cyclosporine A, cisplatin, methotrexate, antibiotics, proton pump inhibitors (PPIs), antiepileptics, selective serotonin reuptake inhibitors (SSRIs), and anticoagulants are discussed as inhibitors of the process. The role of vitamin D3 remains uncertain. The complex relationship between drugs and the biology of implant osseointegration is emphasized, underscoring the need for further in vitro and in vivo studies to validate their effectsConclusionThis narrative review contributes to the literature by providing an overview of the effects of drugs on implant osseointegration. It highlights the complexity of the subject and emphasizes the necessity for more extensive and sophisticated studies in the future. Based on the synthesis of the reviewed literature, certain drugs, such as bisphosphonates and teriparatide, show potential for promoting implant osseointegration, while others, including loop diuretics and certain antibiotics, may impede the process. However, additional research is required to solidify these conclusions and effectively inform clinical practice.     

A fully automated sex estimation for proximal femur X-ray images through deep learning detection and classification

PurposeTo develop a fully automated deep learning pipeline using digital radiographs to detect the proximal femur region for accurate automated sex estimation.MethodRadiograph predictive features from 2122 Chinese Han clinical pelvic with ages ranging from 18 to 26 years were collected retrospectively to train and test the sex prediction model using deep machine learning’s convolutional neural networks (CNN). Model performance was assessed using a Chinese Han population with 361 samples and a white population with 50 samples. The average accuracy of the sex estimation of the two test datasets was determined.ResultsFor the Chinese Han population test dataset, the sex estimation accuracy was 94.6% (males: 93.9% and females: 94.7%). For the white population samples, the accuracy of sex estimation was 82.9% (males: 80.9% and females: 88.6%). The accuracy of CNN tested in the Chinese population was significantly higher than that tested in the White population (p < 0.001)ConclusionsThe model based on convolutional neural networks has an accuracy similar to that of current state-of-the-art mathematical functions using manually extracted features for the Chinese Han population samples, proving to be a reliable choice for the human sex estimation.     

MR引导放疗在胰腺癌中的应用

放疗是治疗胰腺癌的重要手段。但受胰腺运动等因素影响,放疗疗效难以充分发挥。更高效的胰腺癌放疗有赖于运动管理方式的改进与高质量的图像引导。新兴的MR引导放疗技术软组织分辨率高、无额外辐射、能进行功能成像,经过大量研究评估与验证,其在靶区与危及器官的精准勾画、辅助运动管理和自适应放疗等方面有着巨大优势,有望更好地发挥放疗在胰腺癌治疗中的作用。本文就MR引导放疗在胰腺癌治疗中的应用作一综述和展望。     

骨质疏松症动物模型的构建及实验方法研究进展

骨质疏松症是一种全身性骨代谢病,由多种因素引起,其特点是骨量、骨密度和骨组织的显微结构恶化,骨脆性增强和易发生骨折。骨质疏松症已严重威胁人类健康,最终将导致患者日常活动减少,生活质量降低,死亡率增加。针对不同的研究对象,选择一个正确、理想的动物骨质疏松的模型和实验方法以尽可能再现人类骨质疏松的状态,是开展动物实验的关键。我们综述了当前原发性和继发性骨质疏松等动物模型的构建,以及利用这些模型进行给药实验的研究方法,并对研发治疗骨质疏松的新型药物的选择提供了一些参考建议,以期对后续关于药物的作用机制、研发新药、药物的改良等研究提供思路。