COVID-19 Gender Disparities and Mitigation Recommendations: A Narrative Review

The coronavirus disease 2019 (COVID-19) pandemic has rapidly created widespread impacts on global health and the economy. Data suggest that women are less susceptible to severe illness. However, sex-disaggregated data are incomplete, leaving room for misinterpretation, and focusing only on biologic sex underestimates the gendered impact of the pandemic on women. This narrative review summarizes what is known about gender disparities during the COVID-19 pandemic and the economic, domestic, and health burdens along with overlapping vulnerabilities related to the pandemic. In addition, this review outlines recommended strategies that advocacy groups, community leaders, and policymakers should implement to mitigate the widening gender disparities related to COVID-19.     

EEG functional connectivity contributes to outcome prediction of postanoxic coma

ObjectiveTo investigate the additional value of EEG functional connectivity features, in addition to non-coupling EEG features, for outcome prediction of comatose patients after cardiac arrest.MethodsProspective, multicenter cohort study. Coherence, phase locking value, and mutual information were calculated in 19-channel EEGs at 12 h, 24 h and 48 h after cardiac arrest. Three sets of machine learning classification models were trained and validated with functional connectivity, EEG non-coupling features, and a combination of these. Neurological outcome was assessed at six months and categorized as “good” (Cerebral Performance Category [CPC] 1–2) or “poor” (CPC 3–5).ResultsWe included 594 patients (46% good outcome). A sensitivity of 51% (95% CI: 34–56%) at 100% specificity in predicting poor outcome was achieved by the best functional connectivity-based classifier at 12 h after cardiac arrest, while the best non-coupling-based model reached a sensitivity of 32% (0–54%) at 100% specificity using data at 12 h and 48 h. Combination of both sets of features achieved a sensitivity of 73% (50–77%) at 100% specificity.ConclusionFunctional connectivity measures improve EEG based prediction models for poor outcome of postanoxic coma.SignificanceFunctional connectivity features derived from early EEG hold potential to improve outcome prediction of coma after cardiac arrest.     

Contribution of different somatosensory afferent input to subcortical somatosensory evoked potentials in humans

ObjectivesTo investigate the subcortical somatosensory evoked potentials (SEPs) to electrical stimulation of either muscle or cutaneous afferents.MethodsSEPs were recorded in 6 patients suffering from Parkinson’s disease (PD) who underwent electrode implantation in the pedunculopontine (PPTg) nucleus area. We compared SEPs recorded from the scalp and from the intracranial electrode contacts to electrical stimuli applied to: 1) median nerve at the wrist, 2) abductor pollicis brevis motor point, and 3) distal phalanx of the thumb. Also the high-frequency oscillations (HFOs) were analysed.ResultsAfter median nerve and pure cutaneous (distant phalanx of the thumb) stimulation, a P1-N1 complex was recorded by the intracranial lead, while the scalp electrodes recorded the short-latency far-field responses (P14 and N18). On the contrary, motor point stimulation did not evoke any low-frequency component in the PPTg traces, nor the N18 potential on the scalp. HFOs were recorded to stimulation of all modalities by the PPTg electrode contacts.ConclusionsStimulus processing within the cuneate nucleus depends on modality, since only the cutaneous input activates the complex intranuclear network possibly generating the scalp N18 potential.SignificanceOur results shed light on the subcortical processing of the somatosensory input of different modalities.     

妊娠晚期孕妇抑郁情绪对新生儿神经行为发育的影响

目的探讨妊娠晚期孕妇抑郁情绪对新生儿神经行为发育的影响。方法选取2017年1月—2018年12月,收治本院的160例妊娠晚期孕妇抑郁情绪患者一般临床资料,妊娠周期28周以上,对孕妇抑郁情绪进行统计采用爱丁堡抑郁自评量表、负性认知加工偏向量表,对新生儿神经行为进行评估时按照婴儿神经国际量表。结果160例妊娠晚期孕妇抑郁情绪患者中,阳性30例、阴性130例,与阴性妊娠妇女相比,抑郁阳性妊娠妇女负性沉思偏向、负性解释偏向、负性记忆偏向、负性注意偏向均显著较高,差异具有统计学意义(P<0.05)。160例新生儿中,婴儿神经国际量表评分处于临界值为60例,正常值为100例,神经行为异常发生率为37.50%,负性沉思偏向、负性注意偏向与婴儿神经国际临界值呈负相关关系(P<0.05);与抑郁自评量表无明显相关性(P>0.05)。结论妊娠晚期孕妇具有较高抑郁发生率,其中负性认知加工偏向中负性沉思偏向、负性注意偏向与新生儿神经行为发育具有明显相关性。     

医院-社区-家庭闭环式模式在老年糖尿病周围神经病变患者中的应用价值

【摘要】目的 探讨“医院-社区-家庭”闭环式管理模式在老年糖尿病周围神经病变（DPN）患者中的应用价值。方法 选取2017年6月～2019年6月我院收治的老年DPN患者96例，随机分为观察组与对照组，每组各48例。对照组采用常规护理，观察组采用医院-社区-家庭闭环式管理模式。比较两组患者治疗依从性、血糖控制、心理健康状况、周围神经病变情况以及神经传导速率。结果 干预后，观察组患者用药、饮食、血糖测量、健康行为等方面依从率均高于对照组（P＜0.05）；观察组空腹血糖、饭后2 h血糖、糖化血红蛋白均低于对照组（P＜0.05）；观察组SCL-90症状自评量表躯体化、人际关系敏感、抑郁、焦虑、敌对以及睡眠饮食情况得分均低于对照组（P＜0.05）；观察组密西根糖尿病周围神经病变量表（MDNS）和多伦多临床神经病变评分量表（TCSS）评分均低于对照组（P＜0.05）；观察组正中神经、腓总神经神经传导速度（SNCV）和运动神经传导速度（MNCV）均高于对照组（P＜0.05）。结论 对老年DPN患者应用医院-社区-家庭闭环式管理模式能有效提高患者自我管理效能，维持血糖平稳，缓解不良情绪以改善DPN病情。