How the First Year of COVID-19 Affected Elective Pediatric Urology Patients: A Longitudinal Study Based on Waiting Lists and Surveys From 10 European Centers

Introduction

COVID-19 impacted healthcare systems worldwide, and elective surgical activity was brought to a minimum. Although children were not primarily affected by the disease, pediatric urology was halted by clinical closedown and staff allocation. We aimed to document how these prioritizations affected waiting lists, and to investigate how European centers dealt with the challenge of these logistical and financial prioritizations.

Materials and Methods

This was a 1-year prospective study, starting March 2020. Participants were surveyed at 3-month intervals about waiting lists for several common procedures as well as OR capacity and funding. Further, centers retrospectively reported on surgical and outpatient activity rates during 2019–2021. Waiting list tendencies were evaluated in relation to study baseline.

Results

A marked decrease in surgical and outpatient activity was seen in the spring of 2020. Some included pediatric urology centers were able to increase their budget (15%) and staff working hours (20%) during part of the study period. Still, at the end of the study, the centers had increased the total number of patients on waiting lists with 11%, whereas the average days on waiting lists had accumulated with 73%, yielding a total of 6,102 accumulated waiting days in the study population. Centers with decreased resources had markedly negative effects on waiting lists.

Conclusions

Correlations between COVID-19 derived burdening of healthcare systems and the availability of pediatric urology greatly depends on the prioritizations made at individual centers. Ongoing monitoring of these correlations is warranted to safely avoid unnecessary negative impact on the pediatric population.

Psychological pain and depression: it's hard to speak when it hurts

OBJECTIVE

To investigate the neuropsychological features of depressed patients reporting high level of psychological pain.

METHODS

Sixty-two inpatients were included and divided into two groups according to the level of psychological pain assessed by a Likert scale. Cognitive abilities were assessed using the Trail Making Test, the Stroop test, and Verbal Fluency Test (semantic and phonemic verbal fluency). Univariate and multivariate analyses were performed to determine neuropsychological factors associated with a high level of psychological pain.

RESULTS

The median level of psychological pain was 8/10. High level of psychological pain was associated with poor phonemic verbal fluency performance in men (p = 0.009), but not in women, even after controlling for confounding factors (age, level of depression, anxiety). Groups did not differ on the Trail Making Test, the Stroop test, or the semantic verbal fluency measure.

CONCLUSION

Psychological pain is a specific clinical entity that should be considered to be more significant than just a symptom of depression. High level of psychological pain appears to be associated with a deficit of phonemic verbal fluency in depressed men. This finding could help to target psychotherapeutic treatments and improve screening.Key pointsPatients with high psychological pain do not differ on the Trail Making Test, the Stroop Test or the Sematic Verbal Fluency Measure to patients with low psychological painHigh psychological pain is associated with a deficit in phonemic verbal fluency in depressed menFuture research should aim to clarify gender differences in psychological pain in participants with and without major depressive disorder, as well as explore the complex relationship between cognition and the different forms of pain (psychological, physical and psychosomatic).

Non-alcoholic fatty liver disease in a sample of individuals with bipolar disorders: results from the FACE-BD cohort

OBJECTIVE

Non-Alcoholic fatty liver disease (NAFLD) is becoming the most common liver disease in Western populations. While obesity and metabolic abnormalities are highly frequent in bipolar disorders (BD), no studies have been performed to estimate the prevalence of NALFD in individuals with BD. The aim of our study is to estimate the prevalence of NAFLD and to identify the potential associated risk factors in a large sample of BD individuals.

METHODS

Between 2009 and 2019, 1969 BD individuals from the FACE-BD cohort were included. Individuals with liver diseases, Hepatitis B or C, and current alcohol use disorders were excluded from the analyses. A blood sample was drawn from participants. Screening of NAFLD was determined using fatty liver index (FLI). Individuals with FLI> 60 were considered as having NAFLD.

RESULTS

The prevalence of NAFDL in this sample was estimated at 28.4%. NAFLD was observed in 40% of men and 21% of women. NAFLD was independently associated with older age, male gender, sleep disturbances, and current use of atypical antipsychotics or anxiolytics. As expected, the prevalence of NALFD was also higher in individuals with overweight and in those with metabolic syndrome.

CONCLUSIONS

This study reinforces the view that individuals with BD are highly vulnerable to metabolic and cardiovascular diseases. The prevalence of NAFLD in individuals with BD was two times higher than the prevalence reported in the general population. The regular screening of the MetS in individuals with BD should be therefore complemented by the additional screening of NAFLD among these vulnerable individuals.

Trajectories of functioning in bipolar disorders: A longitudinal study in the FondaMental Advanced Centers of Expertise in Bipolar Disorders cohort

OBJECTIVE

We aimed at identifying distinct trajectories of functioning and at describing their respective clinical characteristics in a cohort of individuals with bipolar disorders.

METHODS

We included a sample of 2351 individuals with bipolar disorders who have been followed-up to 3 years as part as the FondaMental Advanced Centers of Expertise in Bipolar Disorders cohort. Global functioning was measured using the Functioning Assessment Short Test. We used latent class mixed models to identify distinct longitudinal trajectories of functioning over 3 years. Multivariable logistic regression models were used to identify the baseline factors that were associated with the membership to each trajectory of functioning.

RESULTS

Three distinct trajectories of functioning were identified: (1) a majority of individuals (72%) had a stable trajectory of mild functional impairment, (2) 20% of individuals had a stable trajectory of severe functional impairment and (3) 8% of individuals had a trajectory of moderate functional impairment that improved over time. The membership to a trajectory of stable severe versus stable mild functional impairment was associated with unemployment, a higher number of previous hospitalizations, childhood maltreatment, a higher level of residual depressive symptoms, higher sleep disturbances, a higher body mass index and a higher number of psychotropic medications being prescribed at baseline. The model that included these seven factors led to an area under the curve of 0.85.

CONCLUSION

This study enabled to stratify individuals with bipolar disorders according to three distinct trajectories of functioning. The results regarding the potential determinants of the trajectory of severe functional impairment needs to be replicated in independent samples. Nevertheless, these potential determinants may represent possible therapeutic targets to improve the prognosis of those patients at risk of persistent poor functioning.

Decision-making in major depressive disorder: Subjective complaint, objective performance, and discrepancy between both

BACKGROUND

Studies comparing objective and subjective cognition in major depressive disorder (MDD) are scarce, and available data concern different cognitive functions but not decision-making specifically. This cross-sectional study aimed to explore objective (O-DMI) and subjective decision-making impairment (S-DMI) as well as the discrepancy between both in people with MDD. Secondly, we assessed the association between S-DMI and O-DMI. Finally, we explored sociodemographic, clinical, and psychosocial factors related to decision-making impairment status.

METHOD

One hundred and nine people with MDD were assessed with the Iowa Gambling Task to identify "O-DMI". The item 9 of the Beck Depression Inventory was used to compose the variable "S-DMI". Psychiatric history, medication adherence, childhood trauma, physical and psychological pain, and negative life experiences were also collected.

RESULTS

Forty-six percent of participants have O-DMI and 65.1% S-DMI. From 49.5% showing a discrepancy between both, 68,6% have positive discrepancy and 31,4% negative (i.e. under and overestimation respectively). O-DMI and S-DMI were not associated. Binary logistic regressions showed that the number of negative life events in the past 6 months was predictor of O-DMI, while depression severity and medication adherence predicted S-DMI. Finally, medication adherence and depression severity predicted the type of discrepancy.

LIMITATIONS

The variable S-DMI was obtained through a single item.

CONCLUSION

These results confirm the lack of association between objective and subjective measures of cognition in MDD, and for the first-time concerning decision-making. This suggest that both assessments should be done in order to have a deeper knowledge of the cognitive functioning of each patient.

Neutrophil-to-lymphocyte ratio: A potential new peripheral biomarker of suicidal behavior

BACKGROUND

Neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) have emerged as important peripheral inflammatory biomarkers. Recent data suggest a possible role of the immune system in the pathophysiology of suicidal behavior (SB). The aim of this study is to evaluate the association among NLR, MLR, and PLR and SB in patients with major depressive disorder (MDD), and to test its validity as a biomarker for suicidality.

METHODS

We evaluated 538 patients with MDD (mean age [standard deviation] = 43.87 [14.36] years; females: 68.8%). A logistic regression model was estimated to determine the independent factors associated with suicide risk in patients with and without a history of suicide attempt (SA).

RESULTS

Three hundred ninety-three patients (74.7%) had a personal history of SA. Patients with a previous SA were more frequently female (71.9% vs. 59.6%; p = 0.007), significantly younger (41.20 vs. 51.77 years; p < 0.001), had lower depression severity at enrolment (15.58 vs. 18.42; p < 0.000), and significantly higher mean NLR and PLR ratios (2.27 vs. 1.68, p = 0.001; 127.90 vs. 109.97, p = 0.007, respectively). In the final logistic regression model, after controlling for age, sex, and depression severity, NLR was significantly associated with SB (β = 0.489, p = 0.000; odds ratio [95% confidence intervals] = 1.631 [1.266-2.102]). We propose a cut-off value of NLR = 1.30 (sensitivity = 75% and specificity = 35%).

CONCLUSIONS

Our data suggest that NLR may be a valuable, reproducible, easily accessible, and cost-effective strategy to determine suicide risk in MDD.

Dexamethasone Suppression Test May Predict More Severe/Violent Suicidal Behavior

INTRODUCTION

Several studies demonstrated that the hypothalamic-pituitary-adrenal (HPA) axis is dysregulated in suicide attempters. Prospective studies found that people with an abnormal response at the dexamethasone suppression test (DST) are more likely to commit suicide. However, whether DST may predict suicide attempts remains less clear. A possible strategy to address this question is to consider the suicide attempt lethality.

OBJECTIVES

(1) To compare the pre- and post-DST cortisol levels in serious/violent suicide attempters and in non-serious/non-violent suicide attempters, and (2) to investigate whether cortisol level can predict new suicide attempts or their lethality.

METHODS

The study included 70 recent suicide attempters (25 with a serious or violent attempt) who were followed for two years. Three saliva samples for cortisol measurement were obtained at 8a.m., 3p.m., and 9p.m. before the DST (pre-DST). Then, at 11 p.m., 1 mg of dexamethasone was given orally. The following day (post-DST), three saliva samples were collected at the same hours as before. The post-DST-pre-DST salivary cortisol Δ index was calculated for each collection time. The Risk-Rescue Ratio Scale (RRRS) and the Suicidal Intent Scale (SIS) were used to characterize the suicide attempt at inclusion and those occurring during the follow-up.

RESULTS

Post-DST cortisol level at 9 p.m. was higher in patients with an initial violent or serious suicide attempt than in non-violent/non-serious attempters (p < .010). Higher post-DST cortisol at 9p.m. was associated with lower RRRS rescue score and higher clinical impression of suicide severity at inclusion. Among the 66 patients who completed the follow-up, 26 attempted suicide again at least once. Higher pre-DST cortisol at 8a.m. predicted new suicide attempts during the follow-up (OR = 2.15 [1.11, 4.15]), and higher cortisol Δ index at 9p.m. was associated with higher suicide intent during the follow-up.

CONCLUSIONS

Our results suggest that HPA axis hyper-reactivity monitored with the DST is a marker of violent/serious suicide attempt with lower rescue possibility. Furthermore, higher changes between pre-DST and post-DST cortisol levels may predict higher suicide intent. These findings might help to characterize the biological features of nearest suicide phenotypes.