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The world is social distancing, and compulsory confinement has caused stress, psychological instability, stigmatization, fear, and discrimination in the general population. In this cross-sectional survey study, we administered the Fear of COVID-19 Scale (FCV-19S) to hospital medical and nonmedical personnel. A total of 1216 participants were surveyed from May 25 to May 29 of 2020. We asked all the staff for their participation in the study, and physical copies of the survey were distributed to the staff willing to participate. All surveys were answered anonymously. We found that the global FCV-19S mean score was 16.4 ± 6.1, with a significant difference between women and men's scores. Medical students presented higher scores than experienced medical personnel. Additionally, the medical and nursing personnel presented a higher level of fear than hospital staff who did not work directly with COVID-19 patients. Our findings suggest that greater knowledge of medicine or infectious diseases could decrease the overall psychological impact of the pandemic disease.

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The presence of COVID-19 has had psychological consequences among health personnel; these include fear, anxiety, and depression. In the current study, we used the Fear of COVID-19 Scale (FCV-19S) to assess the response to fear within health staff in Mexico. This was a cross-sectional survey study in which we administered the Spanish version of the FCV-19S to hospital staff. The FCV-19S is a seven-item questionnaire that assesses the severity of fear caused by COVID-19. A total of 2860 participants-1641 female and 1218 male personnel from three hospitals-were included in the study. The internal reliability of the scale was good, with Cronbach's alpha of .902. A confirmatory factor analysis (CFA) was conducted on the seven items of the FCV-19S, showing good model fit (χ 2 (7) = 29.40, p < .001; CFI = .99; TLI = .99; RMSEA = .03; SRMR = .010; AIC = 71.40). We found a global FCV-19S mean score of 19.3 ± 6.9, with a significant difference in scores between women and men. Our survey shows a significantly higher level of fear in nursing and administrative personnel, which may be explained by the nursing staff being in close contact with infected patients and the administrative staff lacking understanding of the possible implications of the infection, compared with nonclinical hospital personnel. Our results are consistent with those of other researchers. We must remember that fear is a reaction and that we must be courageous enough to trust validated infection prevention practices to provide the highest standard of care, in the safest environment that we can, for as long as we can.

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The world is facing the worst health crisis in modern history. In addition to general concerns about the effects of COVID-19 on health, hospital personnel are developing numerous mental health conditions. This cross-sectional survey study evaluated the prevalence and severity of anxiety caused by the COVID-19 pandemic using the Coronavirus Anxiety Scale (CAS) in 2136 hospital employees. For the employees who presented scores ranging from 1-20 (n = 1090, 51%), the CAS mean score was 4.22 (SD = 3.95). The mean score was higher in women than men. By work category, non-clinical hospital personnel presented the highest CAS scores.

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[This corrects the article DOI: 10.1007/s11469-020-00413-x.].

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BACKGROUND AND AIM: Analysis of ascitic fluid is necessary to determine the etiology and to distinguish portal hypertension (PH)-related and unrelated ascites. Numerous diagnostic parameters have been studied, but no single parameter has completely distinguished these. We aimed to validate the serum albumin-ascites gradient (SAAG) for the diagnosis of ascites secondary to PH and to establish cutoff points to predict PH using its sensitivity and specificity. METHODS: This was a cross-sectional study conducted on patients diagnosed with ascites of any etiology. The SAAG and albumin concentration in ascitic fluid (AFA) were measured to establish their sensitivity and specificity for determining the presence or absence of PH. Cutoff points and levels of statistical significance were established based on the area under the curve. RESULTS: Eighty-seven patients were evaluated, of whom 74 (84%) were men, with an average age of 54.0 ± 13.6 years. Seventy-two (83%) were diagnosed at admission with PH-related ascites and 15 (17%) with non-PH-related ascites. SAAG correctly classified 48 (67%) patients, but 24 (33%) were classified incorrectly, while AFA classified 59 (82%) correctly and only 13 (17%) incorrectly. The diagnostic accuracy of SAAG was 57 versus 73% for AFA. AFA had a sensitivity of 82% and specificity of 66% (95% confidence interval [CI]: 0.63-0.93), while SAAG had a sensitivity of 66% but a specificity of 86% (95% CI: 0.72-0.95). CONCLUSIONS: The SAAG showed poor diagnostic performance with low sensitivity but high specificity. The diagnostic accuracy of AFA is superior to that of SAAG in discriminating between PH and non-PH ascites.

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BACKGROUND: Although reports suggest that pain and postoperative nausea and vomiting (PONV) may be more frequent in women, the evidence is inconsistent. The objective of this study was to investigate whether women are more sensitive to pain and PONV after laparoscopic cholecystectomy (LC). METHODS: A total of 370 women and 275 men were included in a retrospective cohort study. All underwent LC under standardized general anesthesia. The variables analyzed included clinical and anthropometric parameters. End points were the incidence of nausea, vomiting, pain, and the requirement for additional pain relievers and antiemetics to control these. RESULTS: The women were younger and had lower body weight than the men (p < 0.001). Body mass index was within the normal range for 50% of women and 30% of men (p < 0.001). Pain was more common in women at 1, 6, 12 and 24 h after surgery (p < 0.02). Narcotics in addition to the doses used to lessen pain intensity (p = 0.01) were required in 60 women and 19 men (p < 0.001). PONV was more frequent in women at 1 and 6 h after surgery (p < 0.01). Rescue antiemetics were required in 35 women and 11 men (p = 0.008). Hospital stay was shorter for men (p < 0.001). Four patients in each group developed postoperative complications (p = 0.14). There was no mortality. CONCLUSIONS: Early postoperative pain, nausea and vomiting after LC were more common in women, who more frequently required analgesic and antiemetic rescue medication.

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BACKGROUND: Patients admitted to the intensive care unit (ICU) experience sleep disruption caused by a variety of conditions, such as staff activities, alarms on monitors, and overall noise. In this study, we explored the relationship between noise and other factors associated with poor sleep quality in patients. METHODS: This was a prospective cohort study. We used the Richards-Campbell Sleep Questionnaire to explore sleep quality in a sample of patients admitted to the ICU of a private hospital. We measured the noise levels within each ICU three times a day. After each night during their ICU stay, patients were asked to complete a survey about sleep disturbances. These disturbances were classified as biological (such as anxiety or pain) and environmental factors (such as lighting and ICU noise). RESULTS: We interviewed 71 patients; 62% were men (mean age 54.46 years) and the mean length of stay was 8 days. Biological factors affected 36% and environmental factors affected 20% of the patients. The most common biological factor was anxiety symptoms, which affected 28% of the patients, and the most common environmental factor was noise, which affected 32.4%. The overall mean recorded noise level was 62.45 dB. Based on the patients' responses, the environmental factors had a larger effect on patients' sleep quality than biological factors. Patients who stayed more than 5 days reported less sleep disturbance. Patients younger than 55 years were more affected by environmental and biological factors than were those older than 55 years. CONCLUSIONS: Patient quality of sleep in the ICU is associated with environmental factors such as noise and artificial lighting, as well as biological factors related to anxiety and pain. The noise level in the ICU is twice that recommended by international guides. Given the stronger influence of environmental factors, the use of earplugs or sleeping masks is recommended. The longer the hospital stay, the less these factors seem to affect patients' sleep quality.

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