Background Identifying trends of hospital admissions for respiratory diseases is crucial for public health and research to guide future clinical improvements for better outcomes. This study aims to define the trends of respiratory disease-related hospital admissions (RRHA) in England and Wales between 1999 and 2019. Methods An ecological study was conducted using hospital admission data taken from the Hospital Episode Statistics database in England and the Patient Episode Database for Wales. Hospital admissions data for respiratory diseases were extracted for the period between April 1999 and March 2019. The trend in hospital admissions was assessed using a Poisson model. Results Hospital admission rate increased by 104.7% [from 1535.05 (95% CI 1531.71–1538.38) in 1999 to 3142.83 (95% CI 3138.39–3147.26) in 2019 per 100,000 persons, trend test, p < 0.01]. The most common causes were influenza and pneumonia, chronic lower respiratory diseases, other acute lower respiratory infections, which accounted for 26.6%, 26.4%, and 14.9%, respectively. The age group 75 years and above accounted for 34.1% of the total number of hospital admissions. Males contributed to 50.5% of the total number of hospital admissions. Hospital admission rate in females increased by 119.8% [from 1442.18 (95% CI 1437.66–1446.70) in 1999 to 3169.38 (95% CI 3163.11–3175.64) in 2019 per 100,000 persons, trend test, p < 0.001]. Hospital admission rate increased by 92.9% in males [from 1633.25 (95% CI 1628.32–1638.17) in 1999 to 3149.78 (95% CI 3143.46–3156.09) in 2019 per 100,000 persons, trend test, p < 0.001]. Conclusion During the study period, hospital admissions rate due to respiratory diseases increased sharply. The rates of hospital admissions were higher among males for the vast majority of respiratory diseases. Further observational studies are warranted to identify risk factors for these hospital admissions and to offer relevant interventions to mitigate the risk.

Objectives: The aim of this study was to explore the trend of ischemic heart disease (IHD) admission and the prescriptions of IHD medications in England and Wales. Methods: A secular trends study was conducted during the period of 1999 to 2019. We extracted hospital admission data for patients from all age groups from the Hospital Episode Statistics database in England and the Patient Episode Database for Wales. Prescriptions of IHD medications were extracted from the Prescription Cost Analysis database from 2004 to 2019. The chi-squared test was used to assess the difference between the admission rates and the difference between IHD medication prescription rates. The trends in IHD-related hospital admission and IHD-related medication prescription were assessed using a Poisson model. The correlation between hospital admissions for IHD and its IHD medication-related prescriptions was assessed using the Pearson correlation coefficient. Results: Our study detected a significant increase in the rate of cardiovascular disease (CVD) medication prescriptions in England and Wales, representing a rise in the CVD medications prescription rate of 41.8% (from 539,334.95 (95% CI = 539,286.30–539,383.59) in 2004 to 764,584.55 (95% CI = 764,545.55–764,623.56) in 2019 prescriptions per 100,000 persons), with a mean increase of 2.8% per year during the past 15 years. This increase was connected with a reduction in the IHD hospital admission rate by 15.4% (from 838.50 (95% CI = 836.05–840.94) in 2004 to 709.78 (95% CI = 707.65–711.92) in 2019 per 100,000 persons, trend test, p < 0.01), with a mean decrease of 1.02% per year during the past 15 years and by 5% (from 747.43 (95% CI = 745.09–749.77) in 1999 to 709.78 (95% CI = 707.65–711.92) in 2019 per 100,000 persons, trend test, p < 0.01) with a mean decrease of 0.25% per year during the past two decades in England and Wales. Conclusion: The rate of hospitalisation due to IHD has decreased in England and Wales during the past two decades. Hospitalisation due to IHD was strongly and negatively correlated with the increase in the rates of dispensing of IHD-related medications. Other factors contributing to this decline could be the increase in controlling IHD risk factors during the past few years. Future studies exploring other risk factors that are associated with IHD hospitalisation are warranted.

Objectives: To investigate the trends in congenital anomalies-related hospital admissions in England and Wales. Methods: This was an ecological study that was conducted using hospital admission data taken from the Hospital Episode Statistics database in England and the Patient Episode Database for Wales. Congenital malformations, deformations and chromosomal abnormalities hospital admissions data were extracted for the period between April 1999 and March 2019. Results: Hospital admission rate increased by 4.9% [from 198.74 (95% CI 197.53–199.94) in 1999 to 208.55 (95% CI 207.39–209.71) in 2019 per 100,000 persons, trend test, p < 0.01]. The most common hospital admissions causes were congenital malformations of the circulatory system, the musculoskeletal system, genital organs, and the digestive system. The most notable increase in hospital admissions rate was observed in congenital malformations of the respiratory system (1.01-fold). The age group below 15 years accounted for 75.1% of the total number of hospital admissions. Males contributed to 57.5% of the whole number of hospital admission. Hospital admission rate between females was increased by 6.4% [from 162.63 (95% CI 161.10–164.16) in 1999 to 173.05 (95% CI 171.57–174.54) in 2019 per 100,000 persons]. Hospital admission rate between males was increased by 3.4% [from 236.61 (95% CI 234.72–238.50) in 1999 to 244.70 (95% CI 242.92–246.49) in 2019 per 100,000 persons]. Conclusions: Males had a higher percentage of hospitalisation compared to females. Further studies to investigate the factors associated with higher hospitalisation rate among males are needed.

Background General population knowledge, satisfaction, and barriers to using Seha app have not been evaluated from a large-scale perspective. Therefore, this study aimed to explore current knowledge, satisfaction, and barriers of using Seha app and identify the most common mobile health application used among the general population in Saudi Arabia. Methods A cross-sectional online survey, consisting of 25 questions, was distributed among the general population of Saudi Arabia. Descriptive statistics were used to describe the respondents’ characteristics. Categorical variables were reported as frequencies and percentages. A chi-square (χ2) test was conducted to assess the statistical difference between respondents’ demographic characteristics and their knowledge and use of the app. Results Overall, 5008 respondents, both Saudi (3723: 74%) and non-Saudi (1285: 26%) as well as male 2142 (43%) and female 2866 (57%), across the Kingdom of Saudi Arabia completed the online survey. A total of 2921 (58%) had heard of the Seha app, although only 1286 (25%) had used the app. Higher percentages of users were from the western region, females and those within the age group of ≥51 years old, 388 users (29%: P <0.001), 804 (28%; P <0.001) and 67 (35%; P =0.013), respectively. Consulting a doctor was the most frequently utilized service, 576 users (58%). Respondents strongly agreed 402 (41%) that Seha was easy to use, and 538 (54%) strongly agreed that they would recommend Seha to others. The most common barrier of using Seha was a lack of knowledge about the app and its benefits, at 1556 (35%). Overall, the Tawakkalna app was the most utilized mobile health application provided by MOH used 2170 (48%). Conclusion Utilization of the Seha app is quite low due to a lack of knowledge about the app and its benefits. Thus, the MOH should promote public awareness about the app and its benefits.

BACKGROUND Background: The Saudi Ministry of Health (MOH) decided to enhance telemedicine provision by introducing the Seha mobile app; however, the perception of the Seha app has not been extensively explored from the perspective of the general population OBJECTIVE This study aims to explore the current knowledge, satisfaction, and barriers to the use of the Seha app among the general population in Saudi Arabia. METHODS A cross-sectional online survey was distributed among the general population of Saudi Arabia. Descriptive statistics were used to describe the respondents’ characteristics. Categorical variables were reported as frequencies and percentages. A chi-square (χ2) test was conducted to assess the statistical difference between respondents’ demographic characteristics and their knowledge and use of the Seha app. RESULTS 2,921 (58%) of the respondents had heard of the app, although only 1,286 (25%) had used Seha. Higher users were noticed among those above 51 years of age and females, 67 (35%) and 804 (28%), respectively. Highest Seha users were from the western region, 388 (29%: P <0.05). Consulting a doctor was the most frequently used service, 576 (58%). Respondents strongly agreed, 402 (41%), or agreed, 470 (48%), that Seha was easy to use. Moreover, 538 (54%) strongly agreed and 343 (35%) agreed that they would recommend Seha to others. The most common barrier to using the Seha app was a lack of knowledge about the app and its benefits, 1,556 (35%). CONCLUSIONS Conclusion: Utilization of the Seha app in Saudi Arabia is very low due to a lack of knowledge about the app and its benefits. Demographic factors and awareness were predictors for higher utilization. Seha was easy to use, and the majority would recommend it to others. Future studies are needed to explore the factors associated with the low rate of use.

Background: Autosomal dominant polycystic kidney disease (ADPKD) is a condition usually caused by a single gene mutation and manifested by both renal and extrarenal features, eventually leading to end-stage renal disease (ESRD) by the median age of 60 years worldwide. Approximately 89% of ADPKD patients had either PKD1 or PKD2 gene mutations. The majority (85%) of the mutations are in the PKD1 gene, especially in the context of family history. Objectives: This study investigated the genetic basis and the undiscovered genes that are involved in ADPKD development among the Saudi population. Materials and Methods: In this study, 11 patients with chronic kidney disease were enrolled. The diagnosis of ADPKD was based on history and diagnostic images: CT images include enlargement of renal outlines, renal echogenicity, and presence of multiple renal cysts with dilated collecting ducts, loss of corticomedullary differentiation, and changes in GFR and serum creatinine levels. Next-generation whole-exome sequencing was conducted using the Ion Torrent PGM platform. Results: Of the 11 Saudi patients diagnosed with chronic kidney disease (CKD) and ADPKD, the most common heterozygote nonsynonymous variant in the PKD1 gene was exon15: (c.4264G > A). Two missense mutations were identified with a PKD1 (c.1758A > C and c.9774T > G), and one patient had a PKD2 mutation (c.1445T > G). Three detected variants were novel, identified at PKD1 (c.1758A > C), PKD2L2 (c.1364A > T), and TSC2 (deletion of a’a at the 3’UTR, R1680C) genes. Other variants in PKD1L1 (c.3813_381 4delinsTG) and PKD1L2 (c.404C > T) were also detected. The median age of end-stage renal disease for ADPK patients in Saudi Arabia was 30 years. Conclusion: This study reported a common variant in the PKD1 gene in Saudi patients with typical ADPKD. We also reported (to our knowledge) for the first time two novel missense variants in PKD1 and PKD2L2 genes and one indel mutation at the 3’UTR of the TSC2 gene. This study establishes that the reported mutations in the affected genes resulted in ADPKD development in the Saudi population by a median age of 30. Nevertheless, future protein–protein interaction studies to investigate the influence of these mutations on PKD1 and PKD2 functions are required. Furthermore, large-scale population-based studies to verify these findings are recommended.

Aims. The prevalence of CKD in patients with diabetes mellitus in the Middle East region is unknown. Therefore, we aimed to understand the pooled prevalence of CKD in patients with diabetes mellitus in the Middle East region. Methods. PubMed, Embase, and Cochrane databases were searched for relevant studies up to October 2020. The search strategy was conducted using both keywords and MeSH terms. Randomised controlled trials (RCTs) and observational studies that included patients from all age groups and any study design that reported on the prevalence of CKD in patients with diabetes mellitus were included. The pooled estimate for the prevalence of CKD in patients with diabetes was calculated using random-effect models with 95% confidence intervals (CIs). Results. A total of 489 citations were identified, of which only nine studies matched our inclusion criteria and were included in the meta-analysis. All of the studies used an observational study design covering a total of 59,395 patients with type 2 diabetes mellitus. The pooled estimate of the prevalence of CKD in patients with diabetes mellitus was 28.96% (95% CI: 19.80–38.11). Conclusions. A high prevalence of CKD in patients with diabetes mellitus in the Middle East region was found. Further epidemiological studies are warranted in this area to have a better estimate of the prevalence of CKD among DM in the Middle East region.

Background: Atorvastatin is a recent HMG-COA reductase inhibitor used to treat primary hypercholesterolemia, homozygous familial hypercholesterolemia, and mixed dyslipidemias. It is also taken to prevent heart disease, including strokes and heart attacks. In addition, Atorvastatin is used to lower bad cholesterol low-density lipoproteins (LDL) levels, increase good cholesterol high-density lipoprotein (HDL) levels, and lower triglycerides. It works by reducing the amount of cholesterol produced in the body, hence reducing the amount of cholesterol that may build up on the walls of arteries. Atorvastatin is long-acting, has few adverse effects, and is low in price. Nevertheless, it interacts with a wide variety of medications. These interactions may be lead to adverse drug reactions. Objective: The study aims to identify and asset atorvastatin interactions with other medicines at King Abdulaziz Hospital. Also, to prevent atorvastatin interactions in the future. Methods: The retrospective study investigated 280 electronic prescriptions inside the inpatient clinic at King Abdulaziz Hospital in Saudi Arabia between January and April 2021 to identify and asset interactions among atorvastatin and different medications. Results: Most atorvastatin interactions are category C (44.64%) and category B (41.43%). Atorvastatin had the most common interactions with esomeprazole (16.07%), clopidogrel (14.64%), and sitagliptin (12.14%). Atorvastatin had clinical interactions with medications metabolized by the cytochrome P450 3A4 )CYP3A4(. Use of atorvastatin with cyclosporine or clarithromycin increased the risk for atorvastatin toxicities such as myopathy and rhabdomyolysis. In addition, Atorvastatin decreases clopidogrel's antiplatelet effect and increases the risk of skeletal muscle toxicity of daptomycin. Conclusion: The majority of atorvastatin interactions may be avoided by adhering to best practices in clinical care and clinical pharmacology, such as avoiding complicated treatment regimens, utilizing a single pharmacy for all prescriptions, and recognizing patient risk factors. Health care professionals should use drug-drug interaction checkers such as Medscape and Micromedex, as well as a book such as the Handbook of Drug Interactions.