Methods: Thirty patients (25 females, 5 males; mean age, 22.66 ± 3.27 years) who presented with moderate crowding of the upper labial segment and underwent extraction-based fixed appliance treatment were recruited. They were randomly allocated to receive adjunctive therapy with MOPs (n = 15) or treatment with fixed appliances only (control group; n = 15). EARR was measured from long-cone periapical radiographs taken at the start and the sixth month of treatment. A correction factor for the enlargement difference was used to calculate EARR. Data were analyzed with descriptive statistics and repeated-measures analysis of variance.
Results: The mean root lengths of 168 teeth were measured and showed no statistically significant difference (p > 0.05) after six months of fixed appliance treatment in the MOP (mean difference [MD] = 0.13 mm; 95% confidence interval [CI] = -0.10-0.35) and control group (MD = 0.14 mm; 95% CI = -0.10-0.37). Most of the roots in the MOP and control groups (42.86% and 52.38%, respectively) showed only mild resorption. Less than 8% of the roots in both groups (7.14% in the MOP group and 4.76% in the control group) showed moderate resorption.
Conclusions: Acceleration of orthodontic tooth movement with adjunctive MOPs therapy during the alignment phase does not exacerbate EARR in patients with moderate crowding of the upper labial segment in comparison with controls.
AIM: To determine the association of the behavior factors in relation to ED and to identify the risk and protective factors.
METHOD: A systematic review search based on Preferred Reporting Items for Systematic Reviews and Meta-Analysis was conducted. The primary databases PubMed, PlosOne, Oxford Academic, SCOPUS, and Ovid were accessed using specific keyword searches. Quality of articles was assessed by using Newcastle-Ottawa Assessment Scale according to the study design.
OUTCOME: Evaluation of the relationship between behavioral factors and ED.
RESULTS: 24 studies were identified from the 5 databases which met the predetermined criteria. Overall, the study population include adult male age between 18 and 80 years. The sample size of the studies ranges from 101 to the largest sample size of 51,329. Smoking, alcohol, and drugs usage are found to be risk factors for ED. Meanwhile, dietary intake, physical activity, and intimacy are the protective factors for ED.
CLINICAL IMPLICATION: The findings from this review may aid clinicians to aim for early detection of ED by screening their risk factors and providing early treatment. This can also be used to promote awareness to the community on the sexual health and factors that can affect their sexual function.
STRENGTH & LIMITATION: This study looks at all types of behavioral factors that may affect ED; however, there was a substantial heterogeneity detected across the selected study factors. Furthermore, the lack of PROSPERO registration is also a limitation in this study.
CONCLUSION: Overall, smoking, dietary intake, alcohol consumption, drugs, and physical activities are modifiable risk factors for ED in men. Therefore, it is crucial to promote healthy lifestyle and empower men to prevent ED and early detection of ED for early treatment. Sivaratnam L, Selimin DS, Abd Ghani SR, et al. Behavior-Related Erectile Dysfunction: A Systematic Review and Meta-Analysis. J Sex Med 2021;18:121-143.
METHODS: This is a retrospective observational study where 25 male in-patients with laboratory-confirmed COVID-19 in Hospital Canselor Tuanku Muhriz. Demographics, clinical data and CT images of these patients were reviewed by 2 senior radiologists.
RESULTS: In total there were 25 patients (all males; mean age [±SD], 21.64±2.40 years; range, 18-27 years). Patients with abnormal chest CT showed a relatively low normal absolute lymphocytes count (median: 2.2 x 109/L) and absolute monocyte count (median: 0.5 x 109/L). Lactate dehydrogenase was elevated in 5 (20%) of the patients. The procalcitonin level was normal while elevated levels of alanine aminotransferase, total bilirubin, platelet and C-reactive protein were common. Baseline chest CT showed abnormalities in 6 patients. The distribution of the lesions were; upper lobe 3 (12%) lower lobe 3 (12%) with peripheral distribution 4 (16%). Of the 25 patients included, 4 (16%) had ground glass opacification (GGO), 1 (4%) had a small peripheral subpleural nodule, and 1 (4%) had a dense solitary granuloma. Four patients had typical CT features of COVID-19.
CONCLUSION: We found that the CT imaging showed peripheral GGO in our patients. They remained clinically stable with no deterioration of their respiratory symptoms suggesting stability in lung involvement. We postulate that rapid changes in CT imaging may not be present in young, asymptomatic, non-smoking COVID-19 patients. Thus the use of CT thoraxfor early diagnosis may be reserved for patients in the older agegroups, and not in younger patients.