OBJECTIVE: Although a series of studies on OXIS contacts have been performed, studies regarding changes in OXIS contacts over time are lacking. Therefore, this study aimed to evaluate the change in contact type between primary molars after 3 years in children aged 3-7 years.
METHODS: This longitudinal study was conducted using 2922 sectional die models of 926 children. At baseline (T0), the contact type between the primary molars was scored using replication via the sectional die model method according to the OXIS criteria. After 3 years, the sectional die models of the same children were scored using the same criteria (T1).
RESULTS: McNemar\'s tests revealed a significant change in contacts from baseline to 3 years. The post hoc test explained specific changes in the contacts that were observed to be significant. These were O to X (p < 0.001), O to I (p < 0.001), O to S (p = 0.035), and I to X (p < 0.001).
CONCLUSIONS: A significant change in OXIS contact over time was observed. The O-type contact underwent the maximum change. The least and most stable contacts are the \"O\" and \"I\" types, respectively. This change in contact type with age may alter the risk of caries in children.

Introduction Renal failure, comprising acute kidney injury (AKI) and chronic kidney disease (CKD), involves a decline or loss of kidney function. AKI is sudden and reversible, with a rapid decline in function over hours to days, while CKD involves persistent abnormalities lasting at least three months. Developing countries are seeing a rise in AKI cases, especially in critically ill patients. Globally, there\'s a growing occurrence and mortality rate linked to CKD. Methods The study used a retrospective cross-sectional design to analyze AKI and CKD mortality rates in Brazil from 2019 to 2022. Data on population and demographics, including sex and age, were obtained from the Brazilian Institute of Geography and Statistics. Mortality data for kidney diseases were sourced from the Brazilian Hospital Information System. The analysis utilized the Joinpoint Regression Program to calculate average annual percentage changes (AAPCs) and their respective 95% confidence intervals. Weighted Bayesian information criterion was used to determine the significance levels and identify the best-fitting combination of line segments and joinpoints. Results The study findings revealed a significant rise in AKI mortality rates for both males and females, from 2008 to 2021 (APC = 3.16; CI: 2.29 to 5.93), with higher mortality rates recorded among males compared to women over the entire study period. Analyses according to age groups showed that males between the ages 40 to 49 experienced the most rapid increase in mortality during the 2019 - 2021 period (APC = 35.41; CI: 16.72 to 46.57); meanwhile, the most rapid increase in mortality for females was observed from 2019 to 2021, and this was among those aged 30 to 39 (APC = 40.33; CI = 6.48 to 59.78). Furthermore, there was an observable upward trend in mortality related to CKD (APC = 0.70; CI: 0.41 to 1.01), with males consistently having higher mortality rates throughout the entire study period. The elderly population, both males and females, experienced the most rapid increase in CKD-related mortality, with AAPC values of 2.32 (CI: 1.82 to 2.89) for males and 1.62 (CI: 1.08 to 2.10) for females. Conclusion We observed a consistent increase in mortality rates from acute kidney diseases for both males and females since 2008, with males experiencing higher mortality rates overall. The study highlighted the need for further research to understand the underlying factors contributing to these trends. Additionally, interventions targeting modifiable risk factors and improving access to healthcare could help reduce mortality related to renal failure.

BACKGROUND: The incidence of young patients diagnosed with hepatocellular carcinoma (HCC) is projected to rise. This study aimed to investigate the distinctive characteristics of adolescent and young adult (AYA) patients with HCC and identify the risk factors that impact their survival.
METHODS: This study included 1005 AYA patients and 55,435 older adult (OA) patients with HCC, using data from the Surveillance, Epidemiology, and End Results database. Propensity score matching was used to adjust for baseline differences in patient characteristics. The Kaplan-Meier curve and log-rank test are utilized to compare the overall survival between the two groups. The Cox proportional hazards regression model was used for subgroup analysis to identify risk factors for overall survival in AYA patients.
RESULTS: AYA patients exhibited a higher proportion of advanced clinical stage (49.15% vs 37.57%, P < 0.001) and fibrolamellar hepatocellular carcinoma (14.13% vs 0.09%, P < 0.001), but a lower incidence of alpha-fetoprotein positivity (32.04% vs 45.32%, P < 0.001) and cirrhosis (8.86% vs 18.32%, P < 0.001). The subgroup analysis results indicated that AYA patients had a more favorable prognosis than OA patients in most subgroups. Undifferentiated carcinoma emerged as the predominant risk factor for AYA patients (Hazard Ratio [HR], 6.08 [2.53-14.62]), whereas partial hepatectomy was determined to be the most advantageous factor (HR, 0.29 [0.23-0.37]).
CONCLUSIONS: AYA patients with HCC exhibit more aggressive characteristics but demonstrate a better prognosis compared to the OA group, necessitating personalized surveillance and treatment.

The aim of this study was to assess age- and sex-related differences in multiple sleep latency test (MSLT) results and in the performance of the Epworth Sleepiness Scale (ESS) at classifying objective hypersomnia (mean sleep latency (MSL) ≤ 8 min). We studied 480 consecutive adults (39.3 ± 15.3 years old [18-93], 67.7% female) who underwent hypersomnia evaluation. We fit linear regression models to investigate associations between age and sex and sleep latencies (mean and for every nap), after adjusting for total sleep time and sleep efficiency (on polysomnography), and REM-suppressing antidepressant effect. A logistic regression was performed to assess whether age and sex were associated with sleep-onset REM period (SOREMP) occurrence. ROC analysis assessed the diagnostic performance of ESS scores to identify a MSL ≤ 8 min in different age/sex groups. For every 10 years of age, there was 0.41 (95% CI 0.11-0.72, p = 0.008) min reduction in MSL. Objectively (MSL ≤ 8 min) sleepy patients had shortening of latencies in naps 4 and 5 with aging. Female sex was associated with a higher MSL only in patients with MSL > 8 min. A 2.4% reduction in the odds of SOREMP occurrence was observed for every year of age in objectively sleepy patients (p = 0.045). ESS scores had a better diagnostic performance in older (≥ 50 years old) men than younger (< 50 years old) women (p < 0.05). Older patients with objectively confirmed hypersomnia may be sleepier in later naps, possibly due to less restorative naps and/or circadian rhythm factors. Self-reported sleepiness is more predictive of objective sleepiness in older men than younger women.

UNASSIGNED: Chinese populations have an increasingly high prevalence of cardiac arrest. This study aimed to investigate the prehospital associated factors of survival to hospital admission and discharge among out-of-hospital cardiac arrest (OHCA) adult cases in Macao Special Administrative Region (SAR), China.
UNASSIGNED: Baseline characteristics as well as prehospital factors of OHCA patients were collected from publicly accessible medical records and Macao Fire Services Bureau, China. Demographic and other prehospital OHCA characteristics of patients who survived to hospital admission and discharge were analyzed using multivariate logistic regression analysis.
UNASSIGNED: A total of 904 cases with a mean age of 74.2±17.3 (range: 18-106) years were included (78%>65 years, 62% male). Initial shockable cardiac rhythm was the strongest predictor for survival to both hospital admission (OR=3.57, 95% CI: 2.26-5.63; p<0.001) and discharge (OR=12.40, 95% CI: 5.70-26.96; p<0.001). Being male (OR=1.63, 95% CI:1.08-2.46; p =0.021) and the lower emergency medical service (EMS) response time (OR=1.62, 95% CI: 1.12-2.34; p =0.010) were also associated with a 2-fold association with survival to hospital admission. In addition, access to prehospital defibrillation (OR=4.25, 95% CI: 1.78-10.12; p <0.001) had a 4-fold association with survival to hospital discharge. None of these associations substantively increased with age.
UNASSIGNED: The major OHCA predictors of survival were initial shockable cardiac rhythm, being male, lower EMS response time, and access to prehospital defibrillation. These findings indicate a need for increased public awareness and more education.

UNASSIGNED: To comprehensively analyze the epidemiological features of human papillomavirus (HPV) and HPV-related cervical diseases in females aged 35-64 years.
UNASSIGNED: A total of 149,559 samples of exfoliated cervical cells screened for HPV and related cervical lesions from January 2018 to December 2023 were enrolled. The prevalence of 15 high-risk and 6 low-risk HPV genotypes were detected, and the cervical cytology were analyzed. The impact of single and multiple HPV infections was characterized, and the effect of age was studied.
UNASSIGNED: The cervix cytology was normal in 86.60% of the females, while 7.13% of the females were diagnosed with cervix inflammation, 0.60% with ASC-US, 0.22% with ASC-H, 0.72% with LSIL, 0.49% with HSIL, 0.03% with ICC. The highest median age was observed in ASC-H group with 54 years old. Females with primary school education or lower have the highest positive rates. The overall HPV prevalence was 8.60%. The relatively prevalent HPV types were HPV52, 58, 16, 39, 51. HPV16, HPV18, HPV58, HPV33 and HPV52 were the top5 predominant types in ICC patients. 17.41% females suffered from multiple HPV infection with the most frequently co-infection subtypes being HPV52, HPV58 and HPV16. The prevalence of all HPV subtypes increased with age. Multiple HPV infections accounted for a larger proportion in those aged above 55 years. The peak HPV16 prevalence was observed in ICC group in cases aged 45-49 and 55-59. The peak HPV33 prevalence was observed in younger individuals aged 40-44 who developed ICC.
UNASSIGNED: More action should be taken against HPV33 infection.

BACKGROUND: Assessing the potential sources of bias and variability of the Centiloid (CL) scale is fundamental for its appropriate clinical application.
METHODS: We included 533 participants from AMYloid imaging to Prevent Alzheimer\'s Disease (AMYPAD DPMS) and Alzheimer\'s Disease Neuroimaging Initiative (ADNI) cohorts. Thirty-two CL pipelines were created using different combinations of reference region (RR), RR and target types, and quantification spaces. Generalized estimating equations stratified by amyloid positivity were used to assess the impact of the quantification pipeline, radiotracer, age, brain atrophy, and harmonization status on CL.
RESULTS: RR selection and RR type impact CL the most, particularly in amyloid-negative individuals. The standard CL pipeline with the whole cerebellum as RR is robust against brain atrophy and differences in image resolution, with 95% confidence intervals below ± 3.95 CL for amyloid beta positivity cutoffs (CL < 24).
CONCLUSIONS: The standard CL pipeline is recommended for most scenarios. Confidence intervals should be considered when operationalizing CL cutoffs in clinical and research settings.
CONCLUSIONS: We developed a framework for evaluating Centiloid (CL) variability to different factors. Reference region selection and delineation had the highest impact on CL values. Whole cerebellum (WCB) and whole cerebellum plus brainstem (WCB+BSTM) as reference regions yielded consistent results across tracers. The standard CL pipeline is robust against atrophy and image resolution variation. Estimated within- and between-pipeline variability (95% confidence interval) in absolute CL units.

Intercollegiate Horse Show Association (IHSA) competitions evaluate riders on equitation and skills when riding randomly drawn horses. This study considered demographic and competition-related variables of horses involved in IHSA competitions, and their correlation to performance through points accumulated. Demographics were recorded for fifty-nine horses in two-day Hunter Seat and Western IHSA shows along with use of artificial riding aids, day of competition, number of rides, and points, to evaluate performance. Data were analyzed using a mixed effect model and correlation coefficients with significance set at P < 0.05 (SAS 9.4). Hunter Seat horses averaged more rides per day than Western (P < 0.0001), but points per ride were not different between disciplines (P = 0.57) or days of shows (P = 0.47). Use of artificial aids did not impact points per ride a horse accumulated (P = 0.63 Hunter Seat, P = 0.41 Western). Age, (r = -0.10, P = 0.60; r = 0.02, P = 0.90), BCS (r = 0.15, P = 0.42; r = 0.17, P = 0.34), height (r = 0.20, P = 0.28; r = 0.15, P = 0.39), and weight (r = 0.23, P = 0.23; r = 0.20, P = 0.25) were weakly correlated with points earned for Hunter Seat and Western horses, respectively. Random draw in IHSA is suggested to be effective for equitation competitions, allowing a fair opportunity for riders, regardless of the horse-related factors evaluated in this study.

BACKGROUND: The arbitrary geriatric age cutoff of 65 may not accurately define older adults at higher risk of mortality following massive transfusion (MT). We sought to redefine a new geriatric age threshold for MT and understand its association with outcomes.
METHODS: The 2013-2018 Trauma Quality Improvement Program database was queried for all adults who received ≥10 units of packed red blood cells (pRBCs) within 24 h of admission. A bootstrap analysis using multiple logistic regression established transfusion futility thresholds (TTs), where additional pRBCs no longer improved mortality for various age cutoffs. The age cutoff at which the TT for those relatively older and relatively younger was statistically significant was used to define the new \"geriatric\" age for MT. Outcomes were then compared between the newly defined geriatric and nongeriatric patients.
RESULTS: The difference in TT first became significant when the age cutoff was 63 y. The TT for patients aged ≥63 y (new geriatric, n = 2870) versus <63 y (nongeriatric, n = 17,302) was 34 and 40 units of pRBCs, respectively (P = 0.04). Although geriatric patients had a higher Glasgow coma scale score (9 versus 6, P < 0.01) and lower abbreviated injury score-abdomen (3 versus 4, P < 0.01) than the nongeriatric, they suffered higher overall mortality (62% versus 45%, P < 0.01). A lower percentage of geriatric patients were discharged to home (7% versus 35%, P < 0.01).
CONCLUSIONS: The new geriatric age for MT is 63 y, with a TT of 34 units. Despite suffering less severe injuries, physiologically \"geriatric\" patients have worse outcomes following MT.

Vaccination against COVID-19 was integral to controlling the pandemic that persisted with the continuous emergence of SARS-CoV-2 variants. Using a mathematical model describing SARS-CoV-2 within-host infection dynamics, we estimate differences in virus and immunity due to factors of infecting variant, age, and vaccination history (vaccination brand, number of doses and time since vaccination). We fit our model in a Bayesian framework to upper respiratory tract viral load measurements obtained from cases of Delta and Omicron infections in Singapore, of whom the majority only had one nasopharyngeal swab measurement. With this dataset, we are able to recreate similar trends in URT virus dynamics observed in past within-host modelling studies fitted to longitudinal patient data.We found that Omicron had higher R0,within values than Delta, indicating greater initial cell-to-cell spread of infection within the host. Moreover, heterogeneities in infection dynamics across patient subgroups could be recreated by fitting immunity-related parameters as vaccination history-specific, with or without age modification. Our model results are consistent with the notion of immunosenescence in SARS-CoV-2 infection in elderly individuals, and the issue of waning immunity with increased time since last vaccination. Lastly, vaccination was not found to subdue virus dynamics in Omicron infections as well as it had for Delta infections.This study provides insight into the influence of vaccine-elicited immunity on SARS-CoV-2 within-host dynamics, and the interplay between age and vaccination history. Furthermore, it demonstrates the need to disentangle host factors and changes in pathogen to discern factors influencing virus dynamics. Finally, this work demonstrates a way forward in the study of within-host virus dynamics, by use of viral load datasets including a large number of patients without repeated measurements.