RESUMEN
Smartphone applications play a crucial role in contemporary healthcare by aiming to enhance patient care through technology. Mobile health (mHealth) applications have proven to have transformative potential in enhancing patients' outcomes in candidates undergoing orthopedic and spinal surgery. In the context of the pervasive use of smartphones and the exponential growth of mHealth apps, totaling over 99,000 in 2021, the applications had a significant impact on lifestyle management, supporting initiatives like smoking cessation with motivational reminders and progress tracking. Patient compliance is significantly enhanced, reducing surgery cancellations and improving outcomes through effective adherence to pre-operative treatments and instructions. Physiotherapy receives a substantial boost as mHealth facilitates video-guided exercises, potentially improving compliance and treatment outcomes. Data collection takes on innovative dimensions, with mHealth apps capturing post-operative metrics like physical activity, offering valuable insights into patient recovery trends. Remote care is streamlined through features like photo uploads and direct messaging, proving especially beneficial in times of crises such as the COVID-19 pandemic. Despite these merits, challenges emerge, including issues related to technological literacy, potential discrimination due to paywalls, and concerns about patient data confidentiality. Overcoming these challenges requires standardized approaches, legislative measures, and ongoing research to refine and optimize mHealth applications for diverse healthcare settings.
RESUMEN
Background Many international studies have covered the predictors of prostate cancer, but there is limited information pertaining to Likert 3 MRI scores and the diagnosis of clinically significant prostate cancer (cs-PCa). Therefore, this study aimed to assess the detection rate of significant prostate cancer in men with a Likert 3 score multiparametric MRI (mp-MRI) and the predictive value of prostate-specific antigen (PSA) density in detecting significant prostate cancer. Methods This is a retrospective analysis of patients referred for suspected confined prostate cancer. Inclusion criteria were patients with prostate mp-MRI score of Likert 3 and a prostate biopsy performed. Exclusion criteria included grossly abnormal feeling prostate, no biopsy performed, and an mp-MRI score (Prostate Imaging-Reporting and Data System/Likert) of 1, 2, 4, and 5. cs-PCa was defined as ≥ Gleason 3+4 prostate cancer. PSA density (PSAD) was calculated from MRI estimation of prostate volume. PSAD and histology results were subjected to receiver operating characteristic (ROC) curve analysis with the intention to assess the detection rate of significant prostate cancer in men with Likert 3 mp-MRI and the predictive value of PSAD in detecting significant prostate cancer. Results A total of 819 eligible men had a pre-biopsy mp-MRI scan taken between October 2019 and March 2022. A total of 177 men (21.6%, n = 819) were Likert 3 positive, and 31 did not proceed to take prostate biopsies. A total of 146 patients were included in the study. The median PSAD was 0.19 in men with cs-PCa. Prostate cancer was detected in 42 men (28.8% of the total included set), of which 27 (18.5%) had a Gleason 3+3 prostate cancer and 15 (10.3%) had Gleason ≥ 3+4 prostate cancer. Therefore, 35.7% (n = 42) of biopsy-positive men with Likert 3 mp-MRI had cs-PCa. The ROC curve analysis confirms that PSAD is a predictor of cs-PCa. The optimal PSAD threshold was 0.16 (95% CI: 0.14-0.19), which gives an accuracy of 0.7371, a sensitivity of 0.7333, and a specificity of 0.7375. Conclusion The specificity of PSAD is arguably insufficient for it to stand alone as a decision-making tool when counseling men with equivocal mp-MRI on whether or not to undergo prostate biopsy. A predictive model will need to incorporate other independent risk factors. These may include lesion size, multiplicity, location of lesion(s), and age.
RESUMEN
Background Hypothyroidism carries significant morbidity among the general population and is more common among patients with reduced Glomerular filtration Rate (GFR). Patients with reduced GFR have higher cardiovascular morbidity and mortality, which might be increased in the presence of hypothyroidism. A thyroid function test is not routinely included in predialysis workups. Aim The aim was to explore the prevalence of hypothyroidism among hemodialysis and peritoneal dialysis patients at a single large center in Al-Ahsa, Saudi Arabia. Methods A chart-review cross-sectional study was conducted at Al Jabr Kidney Center from February to May 2022. It included adult patients on hemodialysis or peritoneal dialysis. Data was extracted through a pre-structured data extraction sheet to avoid data collection errors. Extracted data included the patient's demographic data, causes of renal failure, and comorbidities besides laboratory investigations and thyroid profile. Results A total of 99 patients were included, with their ages ranging from 15 to 89 years, with a mean age of 51.3 ± 16.9 years old. The exact 76 (76.8%) patients were males. Exact five (5.1%) patients had high thyroid stimulating hormone (TSH), nine (9.1%) had low TSH, and 85 (85.9%) were euthyroid. There was no difference in the prevalence of hypothyroidism according to the type of dialysis (p=0.872). Dialysis adequacy was achieved in the majority of included patients based on Kt/V (80.5%) and URR (61.7%) regardless of thyroid status (p=0.115 and 0.653, respectively). The presence of hypertension and erythropoietin were more prevalent among patients with high TSH levels. Conclusion We concluded that hypothyroidism among dialysis patients was less common in our study compared to previously reported prevalence nationally and internationally. The prevalence of hypothyroidism was similar in both hemodialysis and peritoneal dialysis patients, and it did not affect dialysis adequacy. Hypertension and erythropoietin were more common among our dialysis patients with hypothyroidism. Screening for thyroid disorders among chronic disease patients (especially on dialysis) is essential to improve the quality of care.
