Magnitude of diabetic peripheral neuropathy in Saudi Arabia: a systematic review and meta-analysis.

BACKGROUND: Diabetic peripheral neuropathy (DPN), due to its potential for causing morbidity and disability from foot ulcers and amputations, is increasingly becoming a source of concern in Saudi Arabia and worldwide. However, wide variability exists in the prevalence of DPN reported in previous studies in Saudi Arabia, limiting the utility of existing data in national public health policy. Therefore, the aim of this study was to systematically evaluate the magnitude of DPN in patients living with DM in Saudi Arabia in order to inform policymakers during the implementation of appropriate preventive and treatment strategies for DPN. METHODS: PubMed, Google Scholar, African Journals Online, Scopus, Web of Science, Embase, and Wiley Online Library were searched systematically to acquire relevant articles based on preset criteria. We evaluated heterogeneity and publication bias and employed a random-effects model to estimate the pooled prevalence of DPN from the included studies. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines in conducting the meta-analysis. Analysis was performed using the STATA Version 12 software. RESULTS: Twelve studies with a total of 4,556 participants living with DM, of whom 2,081 were identified as having DPN were included in the meta-analysis. The overall prevalence of DPN was 39% (95% CI [30%, 49%]). Subgroup analysis based on diagnostic method showed that prevalence estimates for DPN using screening questionnaires and clinical examination were 48% (95% CI [46%, 50%]) and 40% (95% CI: [38%, 42%]), respectively, while the estimated prevalence using nerve conduction studies was 26% (95% CI [15%, 36%]). CONCLUSION: This study showed a high magnitude of DPN in Saudi Arabia (39%), thus highlighting the need for sustained efforts to reduce the prevalence of diabetes mellitus and DPN in the kingdom.

Pattern of traumatic occupational injuries in Saudi Arabia: A cross-sectional study.

Background: In the Kingdom of Saudi Arabia (KSA), the labor market is thriving, employing a large workforce in occupations that carry a high risk for traumatic injuries such as construction, transportation, and manufacturing. These jobs usually involve physical exertion, power tools, high-voltage electricity, working at heights, and exposure to bad weather conditions that could potentially lead to injury. This study aimed to determine patterns of traumatic occupational injuries in Riyadh, KSA. Methods: A cross-sectional study was conducted at King Khalid Hospital and Prince Sultan Centre for Healthcare, Prince Sattam bin Abdulaziz University Hospital, and the Al-Kharj Military Industries Corporation Hospital in Al-Kharj City in the KSA between July 2021 and 2022. Descriptive analysis elucidated the type, severity, and patterns of management of non-fatal traumatic occupational injuries. A Kaplan-Meier survival curve and Weibull model for length of hospital stay adjusted for age, gender, nationality, cause for injury, and injury severity scale (ISS) scores were constructed. Results: A total of 73 patients with a mean age of 33.8 ± 14.1 years were included in the study. The most common cause of occupational injury was falling from height (87.7%). The median length of hospital stay was 6 days (IQR: 4 - 7), with no mortalities. In the adjusted survival model, compared to migrants, Saudi nationals had a 45% lower median hospital stay (-62 to - 21), P < 0.01, and every 1-point increase in ISS was associated with a 5% increase in median length of hospital stay (CI: 3 - 7, P < 0.01). Conclusion: Being a Saudi national and having lower ISS scores were associated with shorter durations of hospital stay. Our findings indicate the need for improved occupational safety measures, especially among migrant, foreign-born, and ethnic minority workers.

On the interplay between mathematics and biology: hallmarks toward a new systems biology.

This paper proposes a critical analysis of the existing literature on mathematical tools developed toward systems biology approaches and, out of this overview, develops a new approach whose main features can be briefly summarized as follows: derivation of mathematical structures suitable to capture the complexity of biological, hence living, systems, modeling, by appropriate mathematical tools, Darwinian type dynamics, namely mutations followed by selection and evolution. Moreover, multiscale methods to move from genes to cells, and from cells to tissue are analyzed in view of a new systems biology approach.