Epidural Anesthesia for Neuromyelitis Optica in Obstetrics: A Case Report and Literature Review.

Neuromyelitis optica (NMO), also known as Devic disease, poses unique challenges in obstetrical anesthesia, with limited research available. This case report presents the anesthetic management of a 43-year-old gravida 2 para 1 (G2P1) woman with NMO undergoing labor induction at 39 weeks of gestation. Having received uneventful epidural labor analgesia in her first pregnancy, she faced the delicate decision of neuraxial anesthesia in light of her NMO diagnosis, which was made following her initial pregnancy. Collaborative discussions resulted in the choice of labor epidural analgesia, and an indwelling epidural catheter was placed successfully. An unplanned cesarean section with effective epidural supplementation followed. The case highlights the intricacies of balancing pain relief and neurological risks in NMO patients. Existing literature reflects varying perspectives on neuraxial anesthesia in NMO, with reports both supporting and cautioning against its use. The case aligns with the current view that epidural labor analgesia appears safe in NMO, but conclusive recommendations await larger studies. The decision for neuraxial anesthesia in NMO should be individualized, guided by comprehensive pre-anesthetic counseling and ongoing research developments.

Correction: Ntakolia et al. An Explainable Machine Learning Approach for COVID-19's Impact on Mood States of Children and Adolescents during the First Lockdown in Greece. Healthcare 2022, 10, 149.

Argyris Stringaris was initially included as an author in the original publication [...].

An Explainable Machine Learning Approach for COVID-19's Impact on Mood States of Children and Adolescents during the First Lockdown in Greece.

The global spread of COVID-19 led the World Health Organization to declare a pandemic on 11 March 2020. To decelerate this spread, countries have taken strict measures that have affected the lifestyles and economies. Various studies have focused on the identification of COVID-19's impact on the mental health of children and adolescents via traditional statistical approaches. However, a machine learning methodology must be developed to explain the main factors that contribute to the changes in the mood state of children and adolescents during the first lockdown. Therefore, in this study an explainable machine learning pipeline is presented focusing on children and adolescents in Greece, where a strict lockdown was imposed. The target group consists of children and adolescents, recruited from children and adolescent mental health services, who present mental health problems diagnosed before the pandemic. The proposed methodology imposes: (i) data collection via questionnaires; (ii) a clustering process to identify the groups of subjects with amelioration, deterioration and stability to their mood state; (iii) a feature selection process to identify the most informative features that contribute to mood state prediction; (iv) a decision-making process based on an experimental evaluation among classifiers; (v) calibration of the best-performing model; and (vi) a post hoc interpretation of the features' impact on the best-performing model. The results showed that a blend of heterogeneous features from almost all feature categories is necessary to increase our understanding regarding the effect of the COVID-19 pandemic on the mood state of children and adolescents.

Postoperative abdominal free air: How much and when is enough? Report of two cases.

Postoperative intraperitoneal or ectopic free air may occur after abdominal surgery, gynecologic surgery, laparoscopic surgery, or endoscopic procedures and, in rare cases, represent gastrointestinal perforation, requiring emergency laparotomy. Evaluating patients with postoperative signs of bowel perforation may be difficult, especially when day-case laparoscopic or endoscopic surgery is performed, with the patient readily discharged from hospital. Delayed diagnosis of gastrointestinal perforation due to underestimation of postoperative free air is associated with a high morbidity and mortality rate. We report two cases of patients presenting with postoperative free air along with the clinical presentation and management.

Free air after laparoscopic hysterectomy; from sigmoid perforation to upper airway compromise: a case report.

BACKGROUND: Free air after laparoscopic hysterectomy is a common finding; in rare cases, free air represents gastrointestinal perforation, requiring emergency laparotomy. Ectopic air localizations after pneumoperitoneum have been reported in various laparoscopic surgical techniques. Delayed diagnosis of visceral perforation is associated with high mortality rates. CASE PRESENTATION: We present a white Caucasian female in which dysphonia due to air entrapment in the cervical area, pneumomediastinum and pneumothorax, occured afterlaparoscopic hysterectomy. CONCLUSIONS: Upon mobilization of the patient, air from sigmoid perforation moved cephalad. Through the same path, pneumoperitoneum, causes subcutaneous emphysema in the neck and face, pneumomediastinum and pneumothorax.

Severe anaphylactic shock after anesthesia induction: An unusual initial manifestation of Churg-Strauss syndrome.

Churg-Strauss syndrome or eosinophilic granulomatosis with polyangiitits (EGPA) is a rare multisystem disorder. A case of anaphylactic shock after induction of anesthesia, as the initial clinical presentation of Churg-Strauss syndrome in a 15-year-old girl is reported. It is extremely rare to see pediatric patients with previous perioperative anaphylaxis receiving future anesthesia; a multidisciplinary approach including allergist, rheumatologist, anesthesiologist, and surgeon is necessary in order to provide a better future anesthetic plan.

Applying a general systems theory framework in mental health treatment pathways: the case of the Hellenic Center of Mental Health and Research.

Language, socio-emotional and cognitive development in children and adolescents with mental health issues is getting increased attention over the last years. Establishing communication patterns and addressing behavioural diversities among this population should be of priority, along with a better understanding in a large variety of patient characteristics within the operational framework of mental healthcare centers. Therefore, the relationships between provided services and operational capability should become more evident. As integrated systems' approaches are still missing to predict the efficiency of treatment services in a macroscopic scale, a General Systems Theory framework is hereby proposed. This framework is applied and tested against the operational framework of the Hellenic Center of Mental Health and Research, in order to identify the need of such an approach and the strong cooperation between medical and population interactions. Using such frameworks as a prerequisite to identify important factors affecting population states can lead to evaluating their impact on the treatment outcome and depict the complexity of pathways potentially related to the children's development.