A retrospective analysis of the hemolysis occurrence during extracorporeal membrane oxygenation in a single center.

INTRODUCTION: Extracorporeal membrane oxygenation (ECMO)-associated hemolysis still represents a serious complication. The present study aimed to investigate those predictive factors, such as flow rates, the use of anticoagulants, and circuit connected dialysis, that might play a pivotal role in hemolysis in adult patients. METHODS: This is a retrospective single-center case series of 35 consecutive adult patients undergoing veno-venous ECMO support at our center between April 2014 and February 2020. Daily plasma-free hemoglobin (pfHb) and haptoglobin (Hpt) levels were chosen as hemolysis markers and they were analyzed along with patients' characteristics, daily laboratory findings, and corresponding ECMO system variables, as well as continuous renal replacement therapy (CRRT) when administered, looking for factors influencing their trends over time. RESULTS: Among the many settings related to the ECMO support, the presence of CRRT connected to the ECMO circuit has been found associated with both higher daily pfHb levels and lower Hpt levels. After correction for potential confounders, hemolysis was ascribable to circuit-related variables, in particular the membrane oxygenation dead space was associated with an Hpt reduction (B = -215.307, p = 0.004). Moreover, a reduction of ECMO blood flow by 1 L/min has been associated with a daily Hpt consumption of 93.371 mg/dL (p = 0.001). CONCLUSIONS: Technical-induced hemolysis during ECMO should be monitored not only when suspected but also during quotidian management and check-ups. While considering the clinical complexity of patients on ECMO support, clinicians should not only be aware of and anticipate possible circuitry malfunctions or inadequate flow settings, but they should also take into account the effects of an ECMO circuit-connected CRRT, as an equally important key factor triggering hemolysis.

Identification of Psychological Treatment Dropout Predictors Using Machine Learning Models on Italian Patients Living with Overweight and Obesity Ineligible for Bariatric Surgery.

According to the main international guidelines, patients with obesity and psychiatric/psychological disorders who cannot be addressed to surgery are recommended to follow a nutritional approach and a psychological treatment. A total of 94 patients (T0) completed a battery of self-report measures: Symptom Checklist-90-Revised (SCL-90-R), Barratt Impulsiveness Scale-11 (BIS-11), Binge-Eating Scale (BES), Obesity-Related Well-Being Questionnaire-97 (ORWELL-97), and Minnesota Multiphasic Personality Inventory-2 (MMPI-2). Then, twelve sessions of a brief psychodynamic psychotherapy were delivered, which was followed by the participants completing the follow-up evaluation (T1). Two groups of patients were identified: Group 1 (n = 65), who fully completed the assessment in both T0 and T1; and Group 2-dropout (n = 29), who fulfilled the assessment only at T0 and not at T1. Machine learning models were implemented to investigate which variables were most associated with treatment failure. The classification tree model identified patients who were dropping out of treatment with an accuracy of about 80% by considering two variables: the MMPI-2 Correction (K) scale and the SCL-90-R Phobic Anxiety (PHOB) scale. Given the limited number of studies on this topic, the present results highlight the importance of considering the patient's level of adaptation and the social context in which they are integrated in treatment planning. Cautionary notes, implications, and future directions are discussed.

The ecological validity of the IOP-29: A follow-up study using the MMPI-2-RF and the SIMS as criterion variables.

Current guidelines for conducting symptom validity assessments require that professionals administer multiple symptom validity tests (SVTs) and that the SVTs selected for their evaluations provide nonredundant information. However, not many SVTs are currently available, and most of them rely on the same, (in)frequency-based, feigning detection strategy. In this context, the Inventory of Problems (IOP-29) could be a valuable addition to the assessor's toolbox because of its brevity (29 items) and its different approach to assessing the credibility of presented symptoms. As its ecological validity has been poorly investigated, the present study used a criterion groups design to examine the classification accuracy of the IOP-29 in a data set of 174 court-ordered psychological evaluations focused on psychological injury. The validity scales of the Minnesota Multiphasic Personality Inventory-2 Restructured Form and the total score of the Structured Inventory of Malingered Symptoms were used as criterion variables. Overall, the results of this study confirm that the IOP-29 is an effective measure (1.70 ≤ d ≤ 2.67) that provides valuable information when added to the multimethod assessment of symptom validity in civil forensic contexts. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

How Has COVID-19 Affected Mental Health and Lifestyle Behaviors after 2 Years? The Third Step of a Longitudinal Study of Italian Citizens.

The COVID-19 pandemic and its protective measures had a tremendous effect on the general population's mental health and deeply affected their lifestyle. The present study carried out a longitudinal analysis to evaluate the long-lasting psychological effects of the pandemic and its impact on the general population's day-to-day routine. Three points in time were considered: the initial period of the lockdown (T1; n = 2766; March 2020), the final period of the lockdown (T2; n = 439; May 2020) and two years after the lockdown (T3; n = 268; July 2022). Frequency analyses were carried out to examine which behavioral changes were maintained following the COVID-19 pandemic and lockdown; furthermore, a repeated measures ANOVA test was run to measure differences in depression, stress, and anxiety levels between the three periods considered; lastly, multivariable ordinal logistic regression analyses were carried out to examine which variables were associated with psychological distress more than two years after the lockdown. The results highlighted that depression at T3 was associated with depression at T2 and negative affect, whereas stress at T3 was associated with stress at T2 and detachment. The psychological effects and lifestyle changes are also discussed.