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Clear aligners are employed daily for the treatment of several malocclusions. Previous clinical studies indicated low accuracy for the correction of tooth rotations. The aim of this study was to evaluate the predictability of tooth rotations with clear aligners. The sample comprised 390 teeth (190 mandibular; 200 maxillary), measured from the virtual models of 45 participants (21 men, 24 women; mean age: 29.2 ± 6.6 years old). For each patient, pre-treatment (T0) digital dental models (STL files), virtual plan (T1) and post-treatment digital dental models (T2) of both the mandibular and maxillary arches were imported onto Geomagic Control X, a 3D metrology software which allows angular measurements. Rotations were calculated by defining reproducible vectors for all teeth in each STL file and superimposing both T0 with T1 to determine the prescribed rotation, and T0 with T2 to determine the achieved rotation. Prescribed and achieved rotations were compared to assess movement's accuracy. The Wilcoxon signed-rank test and paired t-test were used to assess differences between the prescribed and achieved movements (P < 0.05). The overall predictability of rotational movement was 78.6% for the mandibular arch and 75.0% for the maxillary arch. Second molar accuracy was the lowest in both arches. Clear aligners were not able to achieve 100% of the planned movements., (© 2024. The Author(s).)

Background: Puerperal sepsis, is a significant factor in maternal morbidity and mortality, especially in regions with lower income levels where maternal mortality rates are highest. However, it can be largely avoided if detected in time. Recognizing and dealing with the root causes early is essential in addressing this problem. Therefore, this study aimed to identify the determinants of puerperal sepsis among postpartum women at a tertiary care hospital in Ethiopia., Methods: An institutional-based unmatched case-control study was conducted among 266 postpartum women (88 cases and 178 controls) from October 1, 2023 to November 30, 2023. For each case, two controls were chosen using a systematic random sampling approach. Data were collected using an interviewer-administered, structured questionnaire and medical record review. The collected data were entered into Epi Info version 7.2 and analyzed using SPSS version 27. Binary logistic regression analysis was used to model the association between puerperal sepsis and independent variables. variables that had a crude association in the bivariable analysis (p < 0.25) were entered and analyzed by a multivariable binary logistic regression model to identify statistically significant factors. In the final model, Adjusted odds ratios with their 95% confidence intervals were calculated to determine the strength of the association. Statistical significance was declared at p < 0.05., Result: Rural residence (AOR = 6.9; 95% CI:2.77-17.10), having no formal education (AOR = 3.8; 95% CI: 2.55, 10.76), cesarean section delivery (AOR: 5.1; 95% CI: 1.30, 11.00) and complication during pregnancy (AOR: 4.6, 95% CI: 1.96, 11.10) were independent determinants of puerperal sepsis., Conclusion: Place of residence, maternal education level, mode of delivery, and complication during pregnancy were determinants of puerperal sepsis. It is crucial to implement education and awareness initiatives aimed at mothers, ensure universal access to healthcare services, advocate for evidence-based delivery protocols, and conduct comprehensive antenatal screenings., (© 2024. The Author(s).)