Neurological Pupillary Index and Disposition at Hospital Discharge following ICU Admission for Acute Brain Injury.

We examined the associations between the Neurological Pupillary Index (NPi) and disposition at hospital discharge in patients admitted to the neurocritical care unit with acute brain injury (ABI) due to acute ischemic stroke (AIS), spontaneous intracerebral hemorrhage (sICH), aneurysmal subarachnoid hemorrhage (SAH), and traumatic brain injury (TBI). The primary outcome was discharge disposition (home/acute rehabilitation vs. death/hospice/skilled nursing facility). Secondary outcomes were tracheostomy tube placement and transition to comfort measures. Among 2258 patients who received serial NPi assessments within the first seven days of ICU admission, 47.7% (n = 1078) demonstrated NPi ≥ 3 on initial and final assessments, 30.1% (n = 680) had initial NPI < 3 that never improved, 19% (n = 430) had initial NPi ≥ 3, which subsequently worsened to <3 and never recovered, and 3.1% (n = 70) had initial NPi < 3, which improved to ≥3. After adjusting for age, sex, admitting diagnosis, admission Glasgow Coma Scale score, craniotomy/craniectomy, and hyperosmolar therapy, NPi values that remained <3 or worsened from ≥3 to <3 were associated with poor outcomes (adjusted odds ratio, aOR 2.58, 95% CI [2.03; 3.28]), placement of a tracheostomy tube (aOR 1.58, 95% CI [1.13; 2.22]), and transition to comfort measures only (aOR 2.12, 95% CI [1.67; 2.70]). Our study suggests that serial NPi assessments during the first seven days of ICU admission may be helpful in predicting outcomes and guiding clinical decision-making in patients with ABI. Further studies are needed to evaluate the potential benefit of interventions to improve NPi trends in this population.

Post-traumatic stress disorder and its associated factors among survivors of 2015 earthquake in Nepal.

BACKGROUND: Natural disasters cause long term psychological consequences, especially post-traumatic stress disorders. It has been regarded as the most prevalent of psychiatric disorders after a natural disaster. The purpose of this study is to estimate the prevalence of Post-Traumatic Stress Disorder (PTSD) and determine its associated factors in adult survivors three years after the 2015 Nepal earthquake. METHODS: A cross-sectional descriptive design was used where 1076 adults within the age range of 19-65 were randomly selected and interviewed from four adversely affected districts due to the 2015 earthquake. Instruments included a demographic questionnaire, an earthquake exposure questionnaire, the Oslo Social Support Scale (OSSS), and the Post-traumatic Stress Disorder Checklist-Civilian Version (PCL-C). Descriptive and inferential statistics were applied using Statistical Package for Social Science (SPSS) Version 16 for data analysis. RESULTS: The prevalence of PTSD among earthquake survivors was 18.9%. The multivariate logistic regression showed that gender, ethnicity, education, occupation, social support and severity of damage to house and property were significantly associated with PTSD. Odds of having PTSD was 1.6 times higher among females (AOR = 1.6, 95% CI: 1.1-2.3) and nearly 2 times higher amongst illiterate survivors (AOR = 1.9, 95% CI: 1.2-2.8). Participants from the Janajati ethnic group and those who had a business occupation had a 50% lower risk of having PTSD. Around 39% of the participants had moderate social support and had 60% lower odds of having PTSD compared to those with poor social support (AOR = 0.4, 95%CI: 0.2-0.5, p < 0.001). Participants with medium and very high-level damage to personal property were more likely to have PTSD. CONCLUSION: Post-traumatic stress disorder remained prevalent amongst survivors three years after the 2015 Nepal Earthquake. It is important to provide psychological and social support for survivors to decrease the health burden from PTSD. Socio-demographic characteristics such as females, farmers, those survivors who endured significant personal property damage were at higher risk.

Prevalence and Comparision of Conventional Risk Factors of Cardiovascular Disease Between Clinical and Nonclinical Staff.

BACKGROUND: Cardiovascular disease is the leading cause of death around the globe. A number of studies have shown that hospital staff are vulnerable to cardiovascular disease due to a certain risk of shift duty. It is important to identify cardiovascular risk factors among hospital staff. The aim of this study is, to assess the prevalence of conventional risk factors of cardiovascular disease among hospital staff. METHODS: A quantitative cross-sectional study was conducted among staff working at a Shahid Gangalal National Heart Center, a tertiary cardiac center in Nepal. Simple and multiple linear regression analyses were used to examine the association between independent variables and cardiovascular diseases. Statistical analysis was done using SPSS software version 20. RESULTS: A total of 250 hospital staff participated in this study. Among them, 137 were clinical staff and 113 were non-clinical staff. The mean age of clinical staff and the non-clinical staff was 33.69 ± 7.02 years and 38.7 ± 10.58 years respectively with a total of 66.8% females. Prevalence of hypertension, diabetes mellitus, and dyslipidaemia was less in clinical staff compared to non-clinical staff. The mean systolic, diastolic BP was high in non-clinical staff ( P-value 0.001), moreover mean HDL-C was low (1.2 ± 0.2 mmol). BMI was significantly low in clinical staff. [standardized ß= -0.24; 95% CI: -2.90, -0.88]. CONCLUSIONS: The prevalence of cardiovascular risk factors were high in non-clinical staff compared to clinical staff.