Did the National Lockdown in Saudi Arabia Reduce Lower Respiratory Illnesses in Children?

Objectives: This study aims to explore the effect of lockdown and early precautionary measures implemented in Saudi Arabia on number of pediatric hospitalizations due to lower respiratory illnesses (bronchiolitis, asthma, and pneumonia). Methods: This is a retrospective cross-sectional study aims to review patients from four major hospitals in Saudi Arabia. All pediatric hospitalizations secondary to asthma, bronchiolitis, and pneumonia during the months of the lockdown (March, April, and May) in 2020 were documented. Then, they were compared to the previous 2 years. Variables like number of hospitalizations, oxygen requirement, mechanical ventilation, admission to the intensive care unit (ICU), length of stay, and results of viral studies were collected. Results: We included 1,003 children from four different centers. Males were slightly higher than females (55.8% vs. 44.2%). Total number of hospitalizations in 2020 was 201, significantly lower than 399 and 403 hospitalizations in 2019 and 2018, respectively (P < 0.01). The major drop happened on the months of April and May. Although bronchiolitis hospitalizations' dropped by more than half in 2020 compared to the previous 2 years, it was not statistically significant (P = 0.07). But, asthma hospitalizations were significantly less in 2020 compared to the previous 2 years (49-65% reduction, P = 0.003). Number of pneumonia cases were lowered in 2020 compared to the previous 2 years. However, proportion of pneumonia diagnosis to total hospitalizations increased in 2020 (55% compared to 50% and 35%). There was a surge of viral testing during a period of uncertainty in the early phase of the pandemic. This total reduction in hospitalization was not associated with higher oxygen requirements, mechanical ventilation, ICU admissions or longer hospital stay. Conclusions: Lockdown and precautionary measures executed during the early phase of COVID-19 pandemic helped decrease the number of hospitalizations due to lower respiratory illnesses in Saudi Arabia. Reduction in hospitalizations seems less likely to be secondary to hospital avoidance or delayed presentations as number of ICU admission and oxygen requirements did not increase. The post pandemic pattern of respiratory illnesses among children needs further research.

Normative and Equated Data of the Original and Basic Versions of the Montreal Cognitive Assessment among Community Dwelling Saudi Arabians.

INTRODUCTION: Currently, there are standard and basic versions of the MoCA, the latter designed for those with lower educational achievements. Community-based normative data on these versions of the MoCA from Arabic populations are deficient, and there is little data demonstrating how both scales perform in comparison. We aim to obtain normative performances from both versions and equate the measures of both scales. METHODS: Community-based recruitment of healthy volunteers ≥ 18 years of age. Participants underwent testing with both versions. Demographic data was collected with regard to age, gender, years of education, diabetes, and hypertension. Regression analysis was performed to determine significance of variables, and the circle-arc equating method was used to equate the two scores from each scale. RESULTS: 311 participants were included in the study. The mean (sd) age was 45.8 (15.96), females were 184 (59.16%), and the duration of education was 12.7 (5.67) years. The mean scores on the MoCA-A and MoCA-B were 21.47 (4.53) and 24.37 (4.71) (P < 0.0001), respectively. Multivariate regression showed significance of age and years of education in both versions (both variables with P < 0.0001). Correlation coefficient between the two scales was 0.77 (P < 0.0001). The largest equated difference between both MoCA versions was four points in those scoring from 10-20 on the MoCA-A. CONCLUSION: We present normative data from a large Saudi Arabian community-based sample with two different MoCA tests, and an equating graph is presented to determine the corresponding expected performance between the two scales.

Effects of age, sex and education on verbal fluency tasks in a normal Saudi sample.

INTRODUCTION: This study's purpose is to describe the performance of healthy community dwelling Saudi Arabians on fluency tasks and explore the effects of age, sex and education. METHODS: Arabic-speaking Saudi Arabians > 18 were chosen through convenience sampling. Included were healthy community members whose first language is Arabic. Excluded were anyone with a past history of psychiatric or central neurological diseases, or who was taking medications that affect the central nervous system. Information regarding the variables sex, age, and education was collected. Participants were required to name as many words as they could that started with the letters Ain (ع), Sheen (Ø´), and Qaf (ق) (letter task), and words that belonged to the categories "countries," "boy names," "girl names," and "four-legged animals" (categorical task). Mean scores were derived for the three letters (ASQ) and four categories (TC). Descriptive statistics, percentile curves, and quantile regressions (0.05, 0.25, 0.5, 0.75, and 0.95) were conducted to determine performance range. RESULTS: The study included 301 participants, comprising 162 (53.47%) females. The M(SD) for age was 46.74 (16) and for years of education 14 (4.78). The M(SD) for ASQ was 26.26 (10.01), and for TC, 81.56 (20.77). Percentile curves demonstrated an initial increase, followed by a decrease, in performance with increasing age on letter and categorical fluency tasks. Performance scores showed an increase of 1 to 1.5 and 2 to 3.5 words in the letter and categorical tasks, respectively, for each additional year of education across the quantiles (both with p < 0.0001). Males scored higher in the 0.05 and 0.95 quantiles of the letter fluency task only. CONCLUSION: We demonstrated a range of normative performance from a Saudi Arabian community, with varying age and education levels. The assessment demonstrated the importance of education as a major variable linearly associated with performance, influencing both tasks.

Patient awareness about the indications and complications of sleeve gastrectomy.

OBJECTIVES: To assess patients' awareness of the indications and complications of sleeve gastrectomy in King Khalid University Hospital, Riyadh, Saudi Arabia. METHODS: The cross-sectional study conducted from December 2017 to May 2018 in KKUH, Riyadh, Saudi Arabia included all patients aged 18 years and older. Data collection was conducted through self-administered questionnaires. Chi-square test was performed to determine the significant differences between variables. A P value of < 0.05 was considered statistically significant. RESULT: Of 480 participants, 247 (51.5%) of them were male. The educational level of most was bachelor's degree (253; 52.7%). Most of the participants (326; 67.9%) are not aware about BMI. However, 80 (16.7%) participants knew the true answer to obese BMI. Of the total participants, 283 (59.0%) did not knew about sleeve gastrectomy indications; however, 311 (64.8%) of the participants had heard about the complications of sleeve gastrectomy. All these results are correlated with the educational level of the participants. CONCLUSION: Our study shows a lack of awareness of sleeve gastrectomy indications and complications among study population. We need to increase public awareness about sleeve gastrectomy indications and complication by proper scientific health education in the community.

Estimating optimal window size for analysis of low-coverage next-generation sequence data.

MOTIVATION: Current high-throughput sequencing has greatly transformed genome sequence analysis. In the context of very low-coverage sequencing (<0.1×), performing 'binning' or 'windowing' on mapped short sequences ('reads') is critical to extract genomic information of interest for further evaluation, such as copy-number alteration analysis. If the window size is too small, many windows will exhibit zero counts and almost no pattern can be observed. In contrast, if the window size is too wide, the patterns or genomic features will be 'smoothed out'. Our objective is to identify an optimal window size in between the two extremes. RESULTS: We assume the reads density to be a step function. Given this model, we propose a data-based estimation of optimal window size based on Akaike's information criterion (AIC) and cross-validation (CV) log-likelihood. By plotting the AIC and CV log-likelihood curve as a function of window size, we are able to estimate the optimal window size that minimizes AIC or maximizes CV log-likelihood. The proposed methods are of general purpose and we illustrate their application using low-coverage next-generation sequence datasets from real tumour samples and simulated datasets. AVAILABILITY AND IMPLEMENTATION: An R package to estimate optimal window size is available at http://www1.maths.leeds.ac.uk/∼arief/R/win/.