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Applied Sciences ; 11(23):11547, 2021.
Article in English | MDPI | ID: covidwho-1554830


Our paper aims to present three cases of committed suicide in SARS-CoV-2 infection during the quarantine period. We investigated if there is a role for the infection itself in triggering the suicidal act or if it is augmented by other risk factors such as fear, psychosocial stress, lifestyle changes, and social isolation. To this goal, we analyzed the clinical, paraclinical, histopathological, toxicological records, mental health conditions, psychological, social, cultural, and economic aspects in detail. One patient committed suicide at home, by hanging, while the other two during hospitalization in the red zone, within the Sibiu County Emergency Clinical Hospital, hanging and falling from a height, respectively. The autopsy was carried out within the restricted area for COVID-19 in Sibiu County Forensic Medicine Service. Patients’medical histories were analyzed based on the available medical reports. Additionally, we interviewed a family member, applying the so-called psychological autopsy method, based on open-ended questions and standardized instruments (questionnaire) to point out the motives and behavioral changes that might explain the committed suicide. With this data, we could fulfill a design to elucidate and outline the reasons for the suicidal act. Our findings showed that the mental state deteriorated progressively, both in preexisting depressive and non-depressive backgrounds. Furthermore, we highlight the COVID-19 psychological impact in the suicidal acts. Further on, we reviewed the risk factors presented in the literature that are associated with mental health problems and behavioral changes such as stress, anxiety, depressions, sleep disorders, impulsivity, loneliness.

Int J Environ Res Public Health ; 18(9)2021 04 30.
Article in English | MEDLINE | ID: covidwho-1231474


Neonatal brain injury or neonatal encephalopathy (NE) is a significant morbidity and mortality factor in preterm and full-term newborns. NE has an incidence in the range of 2.5 to 3.5 per 1000 live births carrying a considerable burden for neurological outcomes such as epilepsy, cerebral palsy, cognitive impairments, and hydrocephaly. Many scoring systems based on different risk factor combinations in regression models have been proposed to predict abnormal outcomes. Birthweight, gestational age, Apgar scores, pH, ultrasound and MRI biomarkers, seizures onset, EEG pattern, and seizure duration were the most referred predictors in the literature. Our study proposes a decision-tree approach based on clinical risk factors for abnormal outcomes in newborns with the neurological syndrome to assist in neonatal encephalopathy prognosis as a complementary tool to the acknowledged scoring systems. We retrospectively studied 188 newborns with associated encephalopathy and seizures in the perinatal period. Etiology and abnormal outcomes were assessed through correlations with the risk factors. We computed mean, median, odds ratios values for birth weight, gestational age, 1-min Apgar Score, 5-min Apgar score, seizures onset, and seizures duration monitoring, applying standard statistical methods first. Subsequently, CART (classification and regression trees) and cluster analysis were employed, further adjusting the medians. Out of 188 cases, 84 were associated to abnormal outcomes. The hierarchy on etiology frequencies was dominated by cerebrovascular impairments, metabolic anomalies, and infections. Both preterms and full-terms at risk were bundled in specific categories defined as high-risk 75-100%, intermediate risk 52.9%, and low risk 0-25% after CART algorithm implementation. Cluster analysis illustrated the median values, profiling at a glance the preterm model in high-risk groups and a full-term model in the inter-mediate-risk category. Our study illustrates that, in addition to standard statistics methodologies, decision-tree approaches could provide a first-step tool for the prognosis of the abnormal outcome in newborns with encephalopathy.

Brain Injuries , Epilepsy , Apgar Score , Electroencephalography , Female , Humans , Infant , Infant, Newborn , Pregnancy , Retrospective Studies , Seizures/epidemiology