Risk assessment for obstructive sleep apnea and anxiety in a Pakistani population with coronary artery disease

A Mental Health Survey of Medical Professionals Working During the COVID-19 Pandemic at Shaukat Khanum Cancer Hospital, Lahore

Introduction

The last months of 2019 saw the emergence of a novel coronavirus, SARS-COV-2, capable of causing widespread disease in humans. The rapid spread of this new disease culminated in one of the biggest pandemics in known history. The far-reaching social, economical, and health effects of this pandemic are still unfolding on a global scale.

Given the interconnectedness of social, environmental, and biological factors in manifesting psychiatric illnesses, it is fair to assume that the profound effects of this pandemic would likely increase the strain on mental healthcare systems. 

The objective of this study was to assess the mental health burden amongst healthcare workers at Shaukat Khanum Memorial Cancer Hospital and Research Center (SKMCH & RC) at the start of the COVID-19 pandemic and to identify any differences in the mental health scores of anxiety, depression, and sleep disturbance for professionals directly involved in the care of COVID-19 patients as compared to those who were not.

Material and methods

This was an observational cross-sectional clinical study that used self-reported questionnaires after approval from the hospital's ethical board. The sample size was calculated based on a study published previously by Huang using a 23.04% incidence of anxiety in medical staff. Depression was quantified using the Patient Health Questionnaire-9 score (PHQ-9), anxiety by the Beck Anxiety Inventory, and sleep quality using the Pittsburgh Sleep Quality Index checklist (PSQI). A total of 221 healthcare workers who completed the questionnaires were included in the study and the results were analyzed using SPSS Statistics v. 23 (IBM Corp., Armonk, NY). Levene’s test was used to assess the equality of variances, and an independent sample t-test and chi-square test were applied for the comparison of means. A one-way ANOVA test was used to compare means across more than two groups.

Results

Of the 221 healthcare workers recruited in the study, 57% were males, and 43% were females. Among the sample, 43% of participants were doctors, 27.1% were nurses, and others were technicians and medical assistants.

It was observed that 50% of males and 36% of female healthcare workers experienced moderate to severe depression at the onset of the pandemic. Furthermore, 35% of males and 25% of females suffered from moderate to severe anxiety, and more than 80% of our study population reported poor quality of sleep.

Conclusion

The present study reported a high prevalence of anxiety levels, depressive symptoms, and poor sleep quality among the healthcare professionals working in SKMCH & RC Lahore during the COVID-19 pandemic irrespective of direct contact with COVID-19 patients in a healthcare setting. 

A population-based estimate of the health care burden of obstructive sleep apnea using a STOP-BAG questionnaire in South Carolina

STUDY OBJECTIVES

Population based estimates of obstructive sleep apnea (OSA) frequency and health impact are incomplete. The aim of this study was to determine the prevalence of risk factors for physician and sleep study diagnosed OSA among individuals in a state-based surveillance program.

METHODS

Using questions inserted into the 2016 (n = 5,564) and 2017 (n = 10,884) South Carolina Behavioral Risk Factor Surveillance System of the Centers for Disease Control and Prevention, we analyzed the prevalence of physician diagnosed OSA and associated comorbidities. The validated STOP-BANG questionnaire without neck circumference (STOP-BAG) defined populations at moderate risk (score 3-4) and high risk (score 5-7). Statistical analysis using weighted prevalence and means and their 95% confidence intervals (CI) thus reflect population estimates of disease burden.

RESULTS

The population-based prevalence of physician diagnosed OSA in South Carolina was 9.7% (95% CI: 9.0-10.4). However, the populations with moderate risk (18.5%, 95% CI: 17.3-19.8) and high risk (25.5%, 95% CI: 23.9-27.1) for OSA, as determined by the STOP-BAG questionnaire, were much higher. Compared to those at low risk for OSA, those at high risk were more often diagnosed with coronary heart disease, stroke, asthma, skin cancer, other cancers, chronic obstructive pulmonary disease, arthritis, depression, kidney disease, and diabetes (all P < .001).

CONCLUSIONS

OSA is common and strongly associated with major comorbidities. As such, this public health crisis warrants more diagnostic and therapeutic attention. The STOP-BAG questionnaire provides a public health platform to monitor this disease.

Diagnostic accuracy and suitability of instruments that screen for obstructive sleep apnoea, insomnia and sleep quality in cardiac patients: a meta-analysis

BACKGROUND

A number of clinical guidelines recommend that all cardiac rehabilitation patients should be screened for potential sleep disorders with a validated screening instrument. There is currently no consensus on what specific tools should be used.

OBJECTIVE

To identify tools that are practical to use in the clinical environment and have high diagnostic accuracy.

METHODS

We systematically searched online databases to identify patient reported outcome instruments that have been used in published research studies to assess the likelihood of obstructive sleep apnoea (OSA) in cardiac patients. In studies that provided diagnostic data, these data were extracted and verified via an evidence-based diagnostic calculator. Where sufficient numbers of studies were available, a meta-analysis was conducted to determine pooled estimates of specificity, sensitivity and diagnostic odds ratios. Selected papers were qualitatively assessed using the Standards for Reporting Diagnostic accuracy studies (STARD).

RESULTS

Of the 21 instruments identified, six detected likelihood of OSA, two assessed daytime sleepiness, five assessed insomnia and eight examined sleep quality. A meta-analysis of 14 studies that assessed diagnostic accuracy of moderate OSA, revealed moderate sensitivity for the Berlin Questionnaire, Sens = 0.49 (95% CI 0.45-0.52) and good sensitivity for the Stop-BANG, Sens = 0.93 (95% CI 0.87-0.96) but poor specificity at standard cut-off criteria.

CONCLUSION

There are promising practical tools available to screen patients with OSA and other sleep disorders in cardiac rehabilitation settings, but specificity could be improved. Additional assessment of sleep quality may enhance prognostic ability with both OSA and insomnia screening.