Trauma-related mortality of patients with severe psychiatric disorders: population-based study from the French national hospital database

Severe mental illness and mortality in sepsis and septic shock: a systematic review and meta-analysis

BACKGROUND

There have been conflicting reports regarding the case-fatality outcomes associated with sepsis and septic shock in patients with severe mental illness (SMI).

METHODS

We searched Medline®, Web of Science® and the Cochrane Library® databases (from inception to 4-July-2023) for papers reporting outcomes associated with sepsis and septic shock in adult with (cases) vs. without SMI (controls). The main study outcome was the unadjusted case-fatality rate at hospital discharge, or 30 days if unavailable. Secondary outcomes included the rates of adjusted case-fatality at hospital discharge.

RESULTS

A total of six studies were included in the systematic review, of which four provided data for meta-analysis involving 2,124,072 patients. Compared to controls, patients with SMI were younger and more frequently women. Unadjusted analyses showed that SMI patients had a lower case-fatality rate associated with sepsis and septic shock than their non-SMI counterparts (OR 0.61, 95% CI [0.58-0.65], PI 95% CI [0.49-0.77], I2 = 91%). Meta-regression and subgroup analyses showed that the denominator of the study population (i.e. septic shock or sepsis) was associated with the outcome with an R2 of 59.7%.

CONCLUSION

In conclusion, our study reveals a survival advantage of SMI patients over their non-SMI counterparts. Further research is needed to fully elucidate the mechanisms involved and to develop targeted interventions that can improve the prognosis of both SMI and non-SMI patients facing sepsis.

Development of a novel scoring tool to predict the need for early cricothyroidotomy in trauma patients

Background

The lack of a widely-used tool for predicting early cricothyroidotomy in trauma patients prompted us to develop the Cricothyroidotomy After Trauma (CAT) score. We aimed to predict the need for cricothyroidotomy within one hour of trauma patient arrival.

Methods

Derivation and validation datasets were obtained from the Trauma Quality Improvement Program (TQIP) database. Logistic modeling identified predictors, and weighted averages were used to create the CAT score. The score's performance was assessed using AUROC.

Results

Among 1,373,823 derivation patients, <1 % (n = 339) underwent cricothyroidotomy within one hour. The CAT score, comprising nine predictors, achieved an AUROC of 0.88. Severe neck injury and gunshot wound were the strongest predictors. Cricothyroidotomy rates increased from 0.4 % to 9.3 % at scores of 5 and 8, respectively. In the validation set, the CAT tool yielded an AUROC of 0.9.

Conclusion

The CAT score is a validated tool for predicting the need for early cricothyroidotomy in trauma patients. Further research is necessary to enhance its utility and assess its value in trauma care.

Risks and familial coaggregation of death by suicide, accidental death and major psychiatric disorders in first-degree relatives of individuals who died by suicide

BACKGROUND

Evidence suggests a familial coaggregation of major psychiatric disorders, including schizophrenia, bipolar disorder, major depression (MDD), autism spectrum disorder (ASD) and attention-deficit hyperactivity disorder (ADHD). Those disorders are further related to suicide and accidental death. However, whether death by suicide may coaggregate with accidental death and major psychiatric disorders within families remains unclear.

AIMS

To clarify the familial coaggregation of deaths by suicide with accidental death and five major psychiatric disorders.

METHOD

Using a database linked to the entire Taiwanese population, 68 214 first-degree relatives of individuals who died by suicide between 2003 and 2017 and 272 856 age- and gender-matched controls were assessed for the risks of death by suicide, accidental death and major psychiatric disorders.

RESULTS

A Poisson regression model showed that the first-degree relatives of individuals who died by suicide were more likely to die by suicide (relative risk RR = 4.61, 95% CI 4.02-5.29) or accident (RR = 1.62, 95% CI 1.43-1.84) or to be diagnosed with schizophrenia (RR = 1.53, 95% CI 1.40-1.66), bipolar disorder (RR = 1.99, 95% CI 1.83-2.16), MDD (RR = 1.98, 95% CI 1.89-2.08) or ADHD (RR = 1.34, 95% CI 1.24-1.44).

CONCLUSIONS

Our findings identified a familial coaggregation of death by suicide with accidental death, schizophrenia, major affective disorders and ADHD. Further studies would be required to elucidate the pathological mechanisms underlying this coaggregation.

Cause-specific excess mortality after first diagnosis of bipolar disorder: population-based cohort study

BACKGROUND

Bipolar disorder (BD) is associated with increased mortality, but evidence on cause-specific mortality is limited.

OBJECTIVE

To investigate cause-specific premature excess mortality in BD.

METHODS

Finnish nationwide cohort study of individuals with and without a diagnosis of BD who were aged 15-64 years during 2004-2018. Standardised mortality ratios (SMRs) with 95% CIs were calculated for BD using the mortality rates in the Finnish general population without BD as weights. Causes of death were defined by the International Classification of Diseases, 10th revision codes.

FINDINGS

Of the included 47 018 individuals with BD, 3300 (7%) died during follow-up. Individuals with BD had sixfold higher mortality due to external causes (SMR: 6.01, 95% CI: 5.68, 6.34) and twofold higher mortality due to somatic causes (SMR: 2.06, 95% CI: 1.97, 2.15). Of the deaths due to external causes, 83% (1061/1273) were excess deaths, whereas 51% (1043/2027) of the deaths due to somatic causes were excess. About twice the number of potential years of life were lost in excess due to external causes than due to somatic causes. Alcohol-related causes contributed more to excess mortality than deaths due to cardiovascular disease.

CONCLUSION

External causes of death contributed more to the mortality gap than somatic causes after controlling for age-specific background general population mortality.

CLINICAL IMPLICATION

A balanced consideration between therapeutic response, different treatment options and risk of cause-specific mortality is needed to prevent premature mortality in BD and to reduce the mortality gap.

Mortality among inpatients with bipolar disorders and COVID-19: a propensity score matching analysis in a national French cohort study

BACKGROUND

It remains unknown whether coronavirus disease 2019 (COVID-19) patients with bipolar disorders (BDs) are at an increased risk of mortality. We aimed to establish whether health outcomes and care differed between patients infected with COVID-19 with BD and patients without a diagnosis of severe mental illness.

METHODS

We conducted a population-based cohort study of all patients with identified COVID-19 and respiratory symptoms who were hospitalized in France between February and June 2020. The outcomes were in-hospital mortality and intensive care unit (ICU) admission. We used propensity score matching to control for confounding factors.

RESULTS

In total, 50 407 patients were included, of whom 480 were patients with BD. Patients with BD were 2 years older, more frequently women and had more comorbidities than controls without a diagnosis of severe mental illness. Patients with BD had an increased in-hospital mortality rate (26.6% v. 21.9%; p = 0.034) and similar ICU admission rate (27.9% v. 28.4%, p = 0.799), as confirmed by propensity analysis [odds ratio, 95% confidence interval (OR, 95% CI) for mortality: 1.30 (1.16-1.45), p < 0.0001]. Significant interactions between BD and age and between BD and social deprivation were found, highlighting that the most important inequalities in mortality were observed in the youngest [OR, 95% CI 2.28 (1.18-4.41), p = 0.0015] and most deprived patients with BD [OR, 95% CI 1.60 (1.33-1.92), p < 0.001].

CONCLUSIONS

COVID-19 patients with BD were at an increased risk of mortality, which was exacerbated in the youngest and most deprived patients with BD. Patients with BD should thus be targeted as a high-risk population for severe forms of COVID-19, requiring enhanced preventive and disease management strategies.

Impact of the COVID-19 pandemic on non-COVID-19 hospital mortality in patients with schizophrenia: a nationwide population-based cohort study

It remains unknown to what degree resource prioritization toward SARS-CoV-2 (2019-nCoV) coronavirus (COVID-19) cases had disrupted usual acute care for non-COVID-19 patients, especially in the most vulnerable populations such as patients with schizophrenia. The objective was to establish whether the impact of the COVID-19 pandemic on non-COVID-19 hospital mortality and access to hospital care differed between patients with schizophrenia versus without severe mental disorder. We conducted a nationwide population-based cohort study of all non-COVID-19 acute hospitalizations in the pre-COVID-19 (March 1, 2019 through December 31, 2019) and COVID-19 (March 1, 2020 through December 31, 2020) periods in France. We divided the population into patients with schizophrenia and age/sex-matched patients without severe mental disorder (1:10). Using a difference-in-differences approach, we performed multivariate patient-level logistic regression models (adjusted odds ratio, aOR) with adjustment for complementary health insurance, smoking, alcohol and substance addiction, Charlson comorbidity score, origin of the patient, category of care, intensive care unit (ICU) care, major diagnosis groups and hospital characteristics. A total of 198,186 patients with schizophrenia were matched with 1,981,860 controls. The 90-day hospital mortality in patients with schizophrenia increased significantly more versus controls (aOR = 1.18; p < 0.001). This increased mortality was found for poisoning and injury (aOR = 1.26; p = 0.033), respiratory diseases (aOR = 1.19; p = 0.008) and for both surgery (aOR = 1.26; p = 0.008) and medical care settings (aOR = 1.16; p = 0.001). Significant changes in the case mix were noted with reduced admission in the ICU and for several somatic diseases including cancer, circulatory and digestive diseases and stroke for patients with schizophrenia compared to controls. These results suggest a greater deterioration in access to, effectiveness and safety of non-COVID-19 acute care in patients with schizophrenia compared to patients without severe mental disorders. These findings question hospitals' resilience pertaining to patient safety and underline the importance of developing specific strategies for vulnerable patients in anticipation of future public health emergencies.

Is Psychiatric Illness Associated With the Clinical Decision to Treat Facial Fractures?

PURPOSE

Underlying psychiatric conditions are thought to influence the presentation, management, and outcomes of facially injured patients. Our study sought to determine if psychiatric diagnoses were associated with the decision to repair facial fractures during the index hospitalization.

METHODS

This was a cross-sectional review of the 2014 Nationwide Emergency Department Sample. All patients with the primary diagnosis of a facial fracture were included in the study. The primary study predictor was the presence of a documented psychiatric illness. Covariates included patient age, insurance, injury mechanism, primary fracture location, other concomitant injuries, and Injury Severity Score. The study outcome was facial fracture treatment status (reduction or no reduction). A multiple logistic regression model was created to identify and measure independent factor associations for fracture treatment.

RESULTS

The final sample included 59,378 patients of whom 10,485 (17.7%) had a documented psychiatric illness. Most of these diagnoses involved substance use (62.5%). Patients with psychiatric illness had significantly higher rates of extra-nasal primary fracture location (56.2 vs 47.1%, P < .01) and a greater mean Injury Severity Score (5.0 vs 3.8, P < .01). In the unadjusted analysis, patients with psychiatric illness had higher rates of fracture repair during their index hospitalization (RR = 2.42, P < .01). After adjusting for covariates in the multiple logistic regression model, psychiatric illness became negatively associated with fracture repair (OR = 0.82, P < .01).

CONCLUSIONS

Patients with psychiatric illness experienced higher rates of hospitalization and suffered more severe patterns of injury but had lower odds of fracture repair during their index hospitalization after controlling for injury characteristics.