RESUMEN
Background: Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder associated with kidney complications. This study aims to investigate the effects of weekly subcutaneous semaglutide, a GLP-1 agonist, on kidney outcomes. Methods: This retrospective cohort study was conducted in nephrology and endocrinology clinics at KFAFH from March 2022 to February 2023. The sample size was determined based on hospital records, and randomly selected patients who met the inclusion criteria were included. The inclusion criteria included adults with T2DM who were on weekly subcutaneous semaglutide for 6 months or longer. Patients with type 1 diabetes mellitus, pregnant or gestational diabetes patients, individuals who added other antidiabetic medications during the study period, and participants who refused to be involved were excluded from the study. Results: The study included participants aged between 42 and 85 years, with a mean age of 65.38 years, and the majority (58.7%) were males. There was a significant weight and BMI reduction observed in all patients, with P values <0.001 for both. The average weight reduction was 2.97 kg (SD = 2.34, 95% CI 1.65-3.30), and the average Body (BMI) reduction was 1.16 (SD = 0.91, 95% CI 1.03-1.29). A vast majority of participants (98.5%) reported a weight loss of at least 1 kg, and 13.8% of participants experienced a change in BMI category from higher to lower. No patients reported an increase in the BMI category. There was a significant reduction in glycohemoglobin (HbA1c) measurements from 9.18 pretreatment to 8.13 posttreatment, with an average reduction of 1.05 units (SD = 1.84, 95% CI 0.79-1.31). The majority of participants (70.9%) reported a reduction in HbA1c of at least 0.1 unit. Although there was a slight decrease in estimated glomerular filtration rate (eGFR) values on average (1.35 units), the change was not statistically significant (P = 0.059). More than half of the participants (51.5%) reported an increase in eGFR, 45.4% reported a decrease, and 3.1% reported no change. There was a statistically significant reduction in urinary albumin-to-creatinine ratio (UACR) values from a median of 5.97 pretreatment to a median of 5.60 post-treatment. The median decrease was 0.72 units, with one-third (33.3%) reporting an increase and two-thirds (66.7%) reporting a decrease in values. The correlation analysis revealed no significant association between the total quantity of semaglutide taken and the magnitude of changes. Conclusion: Our study on the impact of weekly semaglutide in adults with T2DM reveals positive effects on kidney outcomes, including weight loss, glycemic control and improved urine albumin creatine ratio, and a reduced risk of nephropathy. These findings highlight the potential of semaglutide as a safe and effective treatment option for improving renal health in individuals with T2DM.
RESUMEN
BACKGROUND: Conceptual models are abstract representations of the real world. They are used to refine medical and nonmedical health care scopes of service. During the COVID-19 pandemic, numerous analytic predictive models were generated aiming to evaluate the impact of implemented policies on mitigating the spread of the virus. The models also aimed to examine the psychosocial factors that might govern the general population's adherence to these policies and to identify factors that could affect COVID-19 vaccine uptake and allocation. The outcomes of these analytic models helped set priorities when vaccines were available and predicted readiness to resume non-COVID-19 health care services. OBJECTIVE: The objective of our research was to implement a descriptive-analytical conceptual model that analyzes the data of all COVID-19-positive cases admitted to our hospital from March 1 to May 31, 2020, the initial wave of the pandemic, the time interval during which local policies and clinical guidelines were constantly updated to mitigate the local effects of COVID-19, minimize mortality, reduce intensive care unit (ICU) admission, and ensure the safety of health care providers. The primary outcome of interest was to identify factors that might affect mortality and ICU admission rates and the impact of the implemented policy on COVID-19 positivity among health care providers. The secondary outcome of interest was to evaluate the sensitivity of the COVID-19 visual score, implemented by the Saudi Arabia Ministry of Health for COVID-19 risk assessment, and CURB-65 (confusion, urea, respiratory rate, blood pressure, and age >65 years) scores in predicting ICU admission or mortality among the study population. METHODS: This was a cross-sectional study. The relevant attributes were constructed based on research findings from the first wave of the pandemic and were electronically retrieved from the hospital database. Analysis of the conceptual model was based on the International Society for Pharmacoeconomics and Outcomes Research guidelines and the Society for Medical Decision-Making. RESULTS: A total of 275 individuals tested positive for COVID-19 within the study design interval. The conceptualization model revealed a low-risk population based on the following attributes: a mean age of 42 (SD 19.2) years; 19% (51/275) of the study population being older adults ≥60 years of age; 80% (220/275) having a CURB-65 score <4; 53% (147/275) having no comorbidities; 5% (13/275) having extreme obesity; and 20% (55/275) having a significant hematological abnormality. The overall rate of ICU admission for the study population was 5% (13/275), and the overall mortality rate was 1.5% (4/275). The multivariate correlation analysis revealed that a high-selectivity approach was adopted, resulting in patients with complex medical problems not being sent to MOH isolation facilities. Furthermore, 5% of health care providers tested positive for COVID-19, none of whom were health care providers allocated to the COVID-19 screening areas, indicating the effectiveness of the policy implemented to ensure the safety of health care providers. CONCLUSIONS: Based on the conceptual model outcome, the selectivity applied in retaining high-risk populations within the hospital might have contributed to the observed low mortality rate, without increasing the risk to attending health care providers.