Long-term consequences in Covid-19 and Non-Covid-19 patients survivors of critical illness. A descriptive study.

Background: Critically ill patients may develop health problems related to their illness, injury, mechanical ventilation or other treatments. Such problems cannot be totally prevented and can continue after the patient leaves the hospital. Aim: To explore the level of anxiety, depression, post-traumatic stress Intensive Care Unit and quality of life in Intensive Care Unit survivors. A comparison analysis between Covid-19 patients and Non-Covid-19 patients was conducted. Methods: A prospective observational study exploring psychological, emotional, and behavioral difficulties experienced in patients admitted to Intensive Care Unit was performed. The study was conducted in an Italian adult 8-bed Intensive Care Unit, from July 2020 to April 2021, and followed-up until 25th May 2022. Data were collected during Intensive Care Unit stay (data collection of demographic and clinical characteristics) and 6 and 12 months after Intensive Care Unit discharge (interviews). Results: A total of 143 patients participated in the study, of which 54 were admitted for Covid-19 (37.76%). Depression symptoms were observed more among Non-Covid-19 patients compared to Covid-19 patients at six months (p= .037) and 12 months (p< .001) after Intensive Care Unit discharge. The quality of life perceived by the Intensive Care Unit patients surveyed improved between 6 and 12 months after discharge (Eq-VAS mean=62.03, + 11.2 vs Eq-VAS mean=66.6, + 9.8) (p=.034). Six months after Intensive Care Unit discharge, the mean of the perception of quality of life, for Covid-19 patients was 63.91 (sd ± 9.30), greater than Non-Covid-19 patients of the same period, which was 60.18 (sd ± 8.63) (p= .038). Conclusions: Within 1 year from the acute infection, most hospital survivors of Covid-19 had good physical and functional recovery over time with better outcomes than other Intensive Care Unit patients and had returned to their original work and life.

Inguinal hernia repair among men: development and validation of a preoperative risk score for persistent postoperative pain.

PURPOSE: Persistent postoperative pain (PPP) is a prevalent complication after inguinal hernia repair. The aim of this study was to develop and validate a preoperative risk score for PPP. METHODS: We developed the risk score based on a cohort of 2,508 Danish men, who answered a questionnaire six months after inguinal hernia repair performed 2015-2016. PPP was defined as a numerical rating scale score ≥ 2 during activity six months postoperatively. Logistic regression analyses were undertaken to determine statistically significant predictors of PPP. Univariable analysis selected potential predictors with a p value ≤ 0.20, and a subsequent multivariable model was built using backward elimination with a criterion of p value < 0.10. We created a risk score based on the ß coefficients of the multivariable model. The risk score was validated internally using Hosmer-Lemeshow goodness of fit test, calibration belt test, and receiver operating characteristic curve analyses with 95% confidence intervals based on the bootstrap analysis. External validation was performed in a cohort of 293 men recruited preoperatively. RESULTS: Predictors of PPP were age 18-49 and 50-59 (versus ≥ 60) years (p < 0.001), total load lifted > 1,000 kg/day (p = 0.001), working in a bent-over position > 1 h/day (p < 0.001), leisure-time physical activity < 2 h/week (p = 0.009), increasing body mass index (per unit) (p < 0.003), and repair of recurrent hernia (p = 0.001).The preoperative risk score predicted risks of 6-61% in the development population. The model showed good internal and external validity. CONCLUSION: The results suggest that the risk of PPP after inguinal hernia repair can be predicted using a preoperative risk score.

The role of the intensive care unit in real-time surveillance of emerging pandemics: the Italian GiViTI experience.

The prompt availability of reliable epidemiological information on emerging pandemics is crucial for public health policy-makers. Early in 2013, a possible new H1N1 epidemic notified by an intensive care unit (ICU) to GiViTI, the Italian ICU network, prompted the re-activation of the real-time monitoring system developed during the 2009-2010 pandemic. Based on data from 216 ICUs, we were able to detect and monitor an outbreak of severe H1N1 infection, and to compare the situation with previous years. The timely and correct assessment of the severity of an epidemic can be obtained by investigating ICU admissions, especially when historical comparisons can be made.