Trends In Rates Research Articles

Nationwide epidemiological study of epilepsy in Montenegro

The aim of this study was to estimate the incidence and prevalence of epilepsy in Montenegro over the period 2011–2022 using hospital case records. The main sources for this study were hospital case records in every outpatient and inpatient neurological department in Montenegro, including the Clinical Center of Montenegro in the capital, a primary referral national center for epilepsy. For every patient, aged 18 and above, two neurologists reviewed all data collected to verify the validity of the diagnosis and to establish the date of clinical onset of the disease. Information on age and sex, EEG, CT scan, and MRI were included. Prevalent cases were selected in 2022 population. Incident cases of epilepsy were identified in 2011 and the incidence trend was followed up for the next 12 years. Crude and standardized incidence and prevalence were calculated. Average crude incidence rate of epilepsy for study period was 56.0 per 100,000 individuals (men 58.1; women 54.2). The age-specific incidence was lowest in the 30 s, and early 40 s and highest after 65 years. Over the 12-year period, increasing trend of standardized epilepsy incidence rates was observed for the total population and for females (p = 0.024 and p = 0.020 respectively). The crude overall prevalence of epilepsy on December 31, 2022 was 13.0 per 1000 individuals (men 13.5; women 12.6). The highest prevalence was in patients in their early 20 s and in the seventh decade. In conclusion, the incidence of epilepsy in this study was similar to those of other industrialized countries, with increasing trend during study period. Prevalence was higher compared to European countries.

Forecasting severe respiratory disease hospitalizations using machine learning algorithms

BackgroundForecasting models predicting trends in hospitalization rates have the potential to inform hospital management during seasonal epidemics of respiratory diseases and the associated surges caused by acute hospital admissions. Hospital bed requirements for elective surgery could be better planned if it were possible to foresee upcoming peaks in severe respiratory illness admissions. Forecasting models can also guide the use of intervention strategies to decrease the spread of respiratory pathogens and thus prevent local health system overload. In this study, we explore the capability of forecasting models to predict the number of hospital admissions in Auckland, New Zealand, within a three-week time horizon. Furthermore, we evaluate probabilistic forecasts and the impact on model performance when integrating laboratory data describing the circulation of respiratory viruses.MethodsThe dataset used for this exploration results from active hospital surveillance, in which the World Health Organization Severe Acute Respiratory Infection (SARI) case definition was consistently used. This research nurse-led surveillance has been implemented in two public hospitals in Auckland and provides a systematic laboratory testing of SARI patients for nine respiratory viruses, including influenza, respiratory syncytial virus, and rhinovirus. The forecasting strategies used comprise automatic machine learning, one of the most recent generative pre-trained transformers, and established artificial neural network algorithms capable of univariate and multivariate forecasting.ResultsWe found that machine learning models compute more accurate forecasts in comparison to naïve seasonal models. Furthermore, we analyzed the impact of reducing the temporal resolution of forecasts, which decreased the model error of point forecasts and made probabilistic forecasting more reliable. An additional analysis that used the laboratory data revealed strong season-to-season variations in the incidence of respiratory viruses and how this correlates with total hospitalization cases. These variations could explain why it was not possible to improve forecasts by integrating this data.ConclusionsActive SARI surveillance and consistent data collection over time enable these data to be used to predict hospital bed utilization. These findings show the potential of machine learning as support for informing systems for proactive hospital management.

Vector Competence of Aedes aegypti from São Tomé and Príncipe for West Nile Virus Transmission.

The global distribution of Aedes aegypti mosquitoes, particularly in tropical regions, poses a significant public health risk due to their apparent ability to transmit arboviruses such as West Nile virus (WNV). This study aimed to evaluate the vector competence of Ae. aegypti from São Tomé and Príncipe (STP) for the transmission of the WNV PT6.39 strain, considering its potential role as a bridge vector in a region where Culex quinquefasciatus would be the main vector. Aedes aegypti mosquitoes were collected, reared, and experimentally infected with WNV, with viral dissemination and transmission potential assessed 7, 14, and 21 days post infection (dpi). The results showed an increasing trend in infection rates, from 5% at 7 dpi to 35% at 21 dpi, with corresponding dissemination rates of 0%, 100%, and 43%. The transmission rates also increased from 0% at 7 dpi to 67% at 21 dpi, with a maximum transmission efficiency of 10% observed at the final time point. Although Ae. aegypti from STP demonstrated the potential to transmit WNV, the overall transmission efficiency remained relatively low. These findings provide necessary insights into the vector competence of Ae. aegypti in this region, highlighting the importance of continued monitoring and targeted vector control measures to mitigate the risk of potential WNV outbreaks.

Circular economy – perception of its essence and comparison of selected indicators in Slovakia and the Czech Republic

The circular economy (CE) is crucial for achieving sustainable development by minimizing waste and optimizing resource use. This study aimed to compare the perception of the CE concept in the Czech Republic and Slovakia through a questionnaire survey and analyze the development of selected CE indicators. The respondents were stakeholders involved in the relevant issue, meeting the condition of operating within the forestry and wood industry sector in the analyzed countries. The results revealed that a majority of respondents in both countries were familiar with the CE concept and recognized its importance for sustainable development. Statistical analysis indicated positive trends in Resource Productivity and Circular Material Use Rate in both countries, highlighting progress towards sustainable economic practices. However, the need for continuous awareness-raising efforts remains evident.

A Retrospective CDC WONDER Analysis of Demographic Trends in Myasthenia Gravis-Related Mortality Rates in the US from 1999-2020

A Retrospective CDC WONDER Analysis of Demographic Trends in Myasthenia Gravis-Related Mortality Rates in the US from 1999-2020

Global burden of atrial fibrillation attributable to high body mass index from 1990 to 2021: findings from the Global Burden of Disease Study 2021.

To assess the global burden of atrial fibrillation (AF) attributable to high body mass index (BMI) from 1990 to 2021 and analyze its spatiotemporal distribution characteristics. An observational study based on GBD 2021 data. Data on AF burden due to high BMI were obtained from the Global Burden of Disease Study (GBD) 2021. Estimated annual percentage change (EAPC) was calculated to evaluate temporal trends in age-standardized rates of deaths and disability-adjusted life years (DALYs) over 30 years. In 2021, high BMI-related AF caused 27,000 deaths and 725,000 DALYs globally, a 376% increase since 1990. Females and the elderly (aged 70+) bore a higher burden. Upper-middle-income regions surpassed high-income regions in AF burden. Australasia had the highest age-standardized rates, while High-income Asia Pacific and South Asia had the lowest. South Asia showed rapid growth in age-standardized death rates. The global burden of high BMI-related AF varies across regions and time, threatening global health, especially for females and the elderly. Targeted strategies are needed to reduce AF and obesity.

Evaluating trends in radical prostatectomy approach and 30-day complication rate in Ontario from 2010-2019.

Radical prostatectomy (RP) for prostate cancer has changed over the years with the advent of minimally invasive (MIRP) approaches, which includes robotic-assisted RP (RARP). The MIRP approaches have been shown to reduce complication rate, but there remain barriers to adoption. The objective of this study was to quantitatively describe the trend in the RP approach in Ontario, and to assess the trend in complication rates. We conducted a population-based, retrospective cohort study including all men who underwent RP for prostate cancer in Ontario from 2010-2019. We used administrative data from Ontario's health databases to gather surgical outcome data. Our primary outcomes were the annualized frequency of RP by surgical approach and annualized 30-day composite complication rate. In total, 22 118 patients were included in the analysis over the study period. There was a trend away from retropubic (RRP) frequency over the study period (80.3% of cases in fiscal year [FY] 2010 to 55.6% in FY 2018) and towards RARP approach (6.8% of cases in FY 2010 and 36.7% in FY 2018). The most common complication was blood transfusion at 6.26%, which saw a downtrend over the study period (7.96% FY 2010, 3.47% FY 2018). The odds ratio for 30-day complication for open RP compared to MIRP was 1.74 (95% confidence interval 1.57-1.92, p<0.001). In Ontario, there has been a steady shift away from RRP and towards RARP. Minimally invasive approaches portend a significantly lower complication rate, likely driven by a lower blood transfusion rate.

Body mass index and its impact on outcomes in CABG surgery: the paradox of obesity and underweight risks.

Objective: To explore the impact of BMI on the short-term mortality and morbidity of patients undergoing CABG. Study Design: Retrospective Cross Sectional study. Setting: Department of Cardiac Surgery Rehman Medical Institute, Peshawar, Pakistan. Period: 1st June 2017 to 31st December 2022. Methods: The data was collected from the data base of the cardiac surgery department. Results: Total of 2599 isolated CABG patients were included with mean age of 57.86±9.2 years. The majority was overweight (42%). Approximately 78.1% were male. Hypertension was our dominant co-morbidity (68.7%) followed by dyslipidemia (65.4%) &amp; DM (50.1%). Majority of patients had NYHA-III symptoms (51.2%). A significant proportion of individuals who are classified as underweight are elderly. Generally, there is a significant increasing trend of DM &amp; HTN incidence with increasing BMI. In terms of intra-operative parameters there is increasing trend of intra-operative transfusions and higher rate of IABP insertion in underweight patients. Generally the underweight patients has the higher trend of adverse outcomes (e.g., prolonged mechanical ventilation, blood product requirement, reopening &amp; re-intubation), but not significant. However, they have significantly longer mechanical ventilation time compared to normal. On the other extreme, morbidly obese patients had the highest in-hospital mortality (11.3%) while overweight had the lowest (2.6%) with a P-value of 0.008. Multivariate regression analysis showed that mean age (P 0.034), cross-clamp time (P 0.018) &amp; mechanical ventilation (P &lt;0.001) were significantly associated with in-hospital mortality. Conclusion: Morbidly obese patients undergoing CABG surgery face significantly higher in-hospital mortality rate, conversely overweight patients exhibits the lowest mortality rates confirming a partial obesity paradox. However, underweight patients experience the worst outcomes, including increased requirements for postoperative blood transfusions, a higher incidence of surgical reopening, and significantly extended mechanical ventilation hours, which indicates either extreme of BMI group is associated with worst outcomes.

Implausibility of radical life extension in humans in the twenty-first century.

Over the course of the twentieth century, human life expectancy at birth rose in high-income nations by approximately 30 years, largely driven by advances in public health and medicine. Mortality reduction was observed initially at an early age and continued into middle and older ages. However, it was unclear whether this phenomenon and the resulting accelerated rise in life expectancy would continue into the twenty-first century. Here using demographic survivorship metrics from national vital statistics in the eight countries with the longest-lived populations (Australia, France, Italy, Japan, South Korea, Spain, Sweden and Switzerland) and in Hong Kong and the United States from 1990 to 2019, we explored recent trends in death rates and life expectancy. We found that, since 1990, improvements overall in life expectancy have decelerated. Our analysis also revealed that resistance to improvements in life expectancy increased while lifespan inequality declined and mortality compression occurred. Our analysis suggests that survival to age 100 years is unlikely to exceed 15% for females and 5% for males, altogether suggesting that, unless the processes of biological aging can be markedly slowed, radical human life extension is implausible in this century.

Improved survival and decreased cancer deaths in young adults with cancer after passage of the Affordable Care Act Dependent Coverage Expansion.

The Patient Protection and Affordable Care Act (ACA) allowed Americans aged 19-25 years to remain on their parents' health insurance plans until age 26 years (the Dependent Care Expansion [DCE]). Have those with cancer diagnoses benefited? The ACE DCE 7-year age range of 19-25 years was compared for changes in cancer survival and mortality before and after enactment of the ACA with groups that were younger and older (in 7-year age spans: ages 12-18 and 26-32 years, respectively). Cancer death data for the entire United States were obtained from the Centers for Disease Control and Prevention, and relative survival data of patients who were diagnosed with cancer were obtained from the National Cancer Institute Surveillance, Epidemiology, and End Results regions representing 42%-44% of the country. Joinpoint analysis identified the DCE-eligible cohort as the only age group of the three groups evaluated that have had improvements in both cancer survival and death rate trends after ACA implementation and that 2010, the year the ACA was passed, was the inflection year for both survival and deaths. By 6 years, the relative survival after cancer diagnosis was 2.6 and 3.9 times greater in the DCE-eligible age group than in the younger and older control groups, respectively (both p<.001), and the cancer death rate in the DCE-eligible age group improved 2.1 and 1.5 times greater than in the younger and older control age groups, respectively (both p<.01). During the first decade of the ACA, eligible young adults with cancer have had significantly improved survival and mortality. Additional policies expanding insurance coverage and enabling earlier cancer diagnosis among young adults are needed. The Patient Protection and Affordable Care Act (ACA) Dependent Care Expansion (DCE) that began in the United States in 2011 allowed young adults aged 19-25 years to remain on their parents' health insurance plans until age 26 years. The survival rate at 6 years in young adult patients diagnosed with cancer was 2.6 to 3.9 times greater in the DCE-eligible age group compared with the younger and older age groups, and the rate of deaths from cancer improved 1.5 to 2.1 times more. During the first decade of the ACA, young adults with cancer who were in the eligible group had significantly longer survival and reduced deaths from cancer. Additional policies that expand insurance coverage and allow the diagnosis of cancer sooner are needed in young adults.

Trend of incidence rate of acute myocardial infarction in Tengzhou City, Shandong Province, from 2013 to 2021

The surveillance data of new cases of acute myocardial infarction (AMI) from January 1, 2013, to December 31, 2021, in Tengzhou City, Shandong Province, were used to analyze the incidence rate of AMI and its change trend among residents. The age and gender standardized incidence rate was calculated based on the 7th National Population Census 2020. The Cochran-Armitage trend test was used to analyze the trend of onset time and age. From 2013 to 2021, the crude and standardized incidence rate of total AMI in Tengzhou City declined from 130.07/100 000 and 161.12/100 000 to 76.15/100 000 and 72.77/100 000 (Z=-13.785 and -20.822, both P<0.001). The crude and standardized incidence rates of males were higher than those of females. In 2016, males aged 45-54 years old and females aged 35-64 years old increased by 33.33%, 103.65%, 106.30%, and 95.75% compared to 2015, and the differences were statistically significant (χ2=6.512, 4.965, 25.115, and 46.004, all P<0.05). The incidence rate of AMI in men aged<35 and 35-44 years old had an upward trend. From 2013 to 2021, the incidence rate of AMI decreased by 55.15% in urban areas and 36.59% in rural areas (Z=-8.529 and -11.235, both P<0.001).

7313 Impact of Day of Admission on Hyperosmolar Hyperglycemic State Outcomes- a National Inpatient Sample Study

Abstract Disclosure: B. Neupane: None. S. Karki: None. A. Bhandari: None. K. Rajamani: None. Introduction: Hospital mortality and results are significantly influenced by the day of admission (weekend vs. weekday). Studies have shown there is an increase in rates of adjusted hospital mortality in various diseases. Hyperosmolar hyperglycemic state (HHS), or Hyperosmotic hyperglycemic nonketotic state (HHNK), is a serious complication associated with type 2 diabetes mellitus. There have been limited studies on how the day of admission impacts outcomes in HHS. Objective:To investigate if there are differences in weekend vs. weekday admission with the diagnosis of HHS on hospital outcomes. Methods: Retrospective data on adult patients (age &amp;gt;18) with a primary diagnosis of HHS was taken between 2017 and 2020 using the National Inpatient Sample (NIS). The data analysis tool utilized was STATA. Diseases and outcome codes were selected using the International Classification of Diseases (ICD-10). Multivariate regression analysis was used to adjust for potential variables and determine the adjusted odds ratio (aOR). The Fisher exact test was used to compare proportions, while the student t-test was used to compare continuous variables. The study's primary outcome was mortality; additional secondary outcomes included length of stay (LOS), total hospitalization costs, acute coronary syndrome (ACS), septic shock, pulmonary edema, acute respiratory failure (ARF), mechanical ventilation, acute respiratory distress syndrome (ARDS), acute kidney injury (AKI), and cerebrovascular accidents (CVA). Between 2017 and 2020, the mortality rates, LOS, and total hospitalization charges of weekend and weekday admissions were analyzed. Results:181,720 patients were diagnosed with HHS; 46,100(25.36%) were admitted on the weekend. Weekend admission had increased rates of ARF (aOR =1.2, 11.15% vs. 9.57%, p&amp;lt;0.01) and mechanical ventilation (aOR =1.24, 7.04% vs. 5.79%, p&amp;lt;0.01) compared to the weekday admission. There was no difference in the outcomes of the two groups in the mortality rate, mean LOS, total hospital charges, ACS, septic shock, pulmonary edema, AKI, CVA, and ARDS. In weekend admission, there was an increase in trends of LOS and total hospitalization charges, but there were no significant outcomes in the mortality rates over the years. In weekday admission, there was an increase in mortality rate trends, LOS, and total hospitalization charges. Conclusion: There was an increase in ARF and mechanical ventilation rates on weekends compared to weekday admission. When the two groups were compared, there were no significant outcomes in mortality rate, LOS, hospital charges, and other hospital outcomes. In both weekend and weekday admissions, there was an increase in trends of LOS and total hospitalization charges; however, only admissions during the weekday showed a significant increase in mortality rate trends. Presentation: 6/1/2024

Trends in case detection rate for leprosy and factors associated with disability among registered patients in Zanzibar, 2018–2021

BackgroundLeprosy is still a disease of public health concern. Globally, 2–3 million people are thought to be affected by leprosy’s disease-related disabilities. Regarding leprosy status in Zanzibar, limited information is available. Determining changes in detection rates and factors associated with disability is crucial for treatment and preventative strategies for this debilitating disease. This study aimed to determine trends in case detection rate for leprosy and risk factors for disability among registered patients in Zanzibar, from 2018 to 2021. The study included all leprosy patients who received treatment in Zanzibar's 11 districts between 2018 and 2021. The study design used was an analytical cross-sectional. Prevalence and new case detection rate (NCDR) were calculated. Multivariable Poisson regression analyses were used to identify factors associated with leprosy disability. Crude and adjusted prevalence ratios (APR) and their respective 95% confidence intervals (CI) were reported. P-values ≤ 0.05 were considered significant.ResultsOf the 490 leprosy cases reported between 2018 and 2021, 469 (95.7%) were new patients, and 349 (71.2%) were multi-bacillary. The disease was found to be more common in males 296 (60.4%). The average prevalence was 7/100,000 population, while the average NCDR was 7/100,000 from 2018 to 2021. There was a significant decrease in disability grades from diagnosis to the end of treatment over 4 years (P < 0.001). Male sex (APR 1.55; 95% CI 1.18–2.04), advanced age (APR 5.01; 95% CI 1.91–13.17), multi-bacillary (APR 6.99; 95% CI 3.16–15.44) and HIV negative patients (APR 1.51; 95% CI 1.11–2.06) were more likely to develop physical disability.ConclusionThis study found that leprosy disability grades at diagnosis compared to the end of treatment declined during 4 years. There was no significant change in point prevalence and NCDR during the 4-year study period. Disability was associated with male sex, advanced age, multi-bacillary, and HIV-negative patients. To prevent leprosy-related disability and transmission, health education, early case detection, and adequate multidrug therapy should be prioritized.

Respiration rates and its relationship with ETS activity in euphausiids: implications for active flux estimations

Euphausiids, commonly known as krill, are crucial contributors to the ocean’s active carbon pump, impacting carbon export and sequestration through their diel vertical migration. These organisms feed on organic matter in the epipelagic layer at night and release inorganic carbon in the mesopelagic layer during the day via respiration. Measuring respiration in the mesopelagic layer is challenging due to the difficulties in obtaining direct measurements, as well as the lack of comprehensive data, and reliance on conservative estimates. The measurement of the electron transfer system (ETS) activity is used as a proxy to assess respiration in the mesopelagic layer. However, accurate calibration of respiration rates and ETS activity is imperative through experimental measurements and empirical data. Here, we compared the respiration rates with their respective ETS activities of different species of euphausiids captured at night in the epipelagic layer of the Atlantic Ocean along a latitudinal (42-29°N, 25°W) and a longitudinal (25-13°W, 29°N) transect. Our results revealed a spatial trend in respiration rates, and consequently in ETS activities, with rates decreasing southward and increasing slightly towards the African upwelling region. The Generalized Additive Model (GAM) demonstrated that epipelagic oxygen concentration, chlorophyll a, and the interaction between epipelagic temperature and mesopelagic oxygen concentration significantly influenced euphausiids respiration rates. Furthermore, we observed a strong correlation between respiration and specific ETS activities, with R/ETS ratios exceeding the conservative value of 0.5, which is typically used to estimate respiratory flux.

Impact of COVID-19 Pandemic on Emergency Department Visits for Opioid Use Disorder Across University of California Health Centers

Introduction: Coronavirus 2019 (COVID-19) has had a devastating impact on mental health and access to addiction treatment in the United States, including in California, which resulted in the highest rates of emergency department visits (ED) for opioid poisoning in 2020. As California slowly returns to pre-pandemic normalcy, it remains uncertain whether the rates of opioid-related events have slowed down over time. We hypothesized that the number of opioid-related ED visits were exacerbated after the period of the COVID-19 pandemic and continue at a high rate in the present. Methods: In this analysis we searched the University of California (UC) Health Data Warehouse—a database of electronic health records from six UC health centers—for opioid-related ED visits, identifiying using the following International Classification of Diseases, 10th Ed, Clinical Modification codes: F11 codes, and T40.0*, T40.1*, T40.2*, T40.3*, T40.4*, T40.6*. Opioid overdose-associated visits were classified by types of opioids involved: heroin (T40.1*); prescription opioids (T40.2* or T40.3*); and synthetic opioids (T40.4*). We performed interrupted time analysis to estimate the immediate (level) change and change-in-time trend (trend change), from before (January 2018–October 2019) and during the pandemic (April 2020–December 2022). Monthly visit rates were evaluated with negative binomial regression adjusted for first-order autoregression and using all-cause ED counts as the offset. We present effect sizes as rate ratios (RR) and 95% confidence intervals (CI), tested at α = .05. Results: Before COVID-19, a steadily increasing trend in ED visit rates was observed for all outcomes (P &amp;lt; 0.05) except synthetic opioids. Total opioid-related ED visit rates increased by 15% (RR 1.15, 95%CI 1.02–1.29, P = 0.20) immediately after March 2020 before decreasing by 0.5% every month, albeit without statistical significance (RR .995, 95% CI .991–1.00, P = 0.06). Similar trends were observed with prescription opioid overdoses, with a step increase of 44% (RR 1.44, 95% CI 1.10–1.89, P = .008) before plateauing after March 2020 (RR 1.01, 95% CI .998–1.02, P = 0.12). After March 2020, ED visit rates for synthetic opioid overdoses were increasing steadily by 4% every month (RR 1.04, 95% CI 1.02–1.06, P = .001), unlike with heroin, which was observed with an 8% monthly reduction (RR .92, 95% CI .90–.93, P &amp;lt; .001). No immediate increase in visit rates was observed for either opioid. Conclusion: While opioid-related ED admissions among the UC health centers showed an overall decrease, prescription and synthetic opioid overdoses remained significantly higher than pre-pandemic trends as of December 2022. A multilevel approach to improve awareness of new opioid health policies could ameliorate these alarming rises in the post-pandemic era.

B-300 Fentanyl and Xylazine Positivity Patterns at a Northeast U.S. Children’s Hospital

Abstract Background In the U.S., fentanyl mixed with xylazine has been designated as an emerging health threat. Information on whether xylazine is present with fentanyl poisoning could help better navigate the management of children exposed to fentanyl mixed with xylazine. The detection of xylazine can be a marker used to differentiate medical vs non-medical fentanyl exposure. We aimed to explore the trends in positivity rates of fentanyl and/or xylazine at an urban pediatric tertiary care hospital. Methods We conducted a retrospective analysis from October 2021 - January 2024 of fentanyl positive urine drug screen (UDS) results by immunoassay performed in-house, and the reflex confirmatory testing by liquid chromatography-tandem mass spectrometry (LC-MS/MS), performed by an external laboratory. When available, xylazine detection results by gas chromatography mass spectrometry (GC-MS) were also included in the analysis. A chart review of fentanyl positive UDS cases was conducted to determine if fentanyl was medically administered prior to the UDS. We evaluated the positivity rate of fentanyl, the co-detection of xylazine, and the positivity patterns based on age, sex, and collection department. Results Fentanyl positive tests encompassed 3.4% (227/6632) of all UDS performed at our institution and 11.0% (227/2058) of all positive UDS tests, with medical fentanyl administration prior to UDS documented in 76.2% (173/227) of cases. 217/227 samples had confirmatory testing with 96.8% (210/217) confirmed by LC-MS/MS. The median age of fentanyl positives was 7 years (41.9% ≤ 3 years old) and 57.3% were male. Fentanyl-only positive UDS were seen in 33.0% (75/227) of all fentanyl positives and 45.6% (108/227) were also positive for benzodiazepines. 68.7% (156/227) were collected in the intensive care units, and 19.8% (45/227) were from the emergency department. 46.7% (106/227) of fentanyl positive cases had concurrent GC-MS results available. Xylazine was detected in 13.2% (14/106) of these cases, with 13 cases reported as unintentional exposure on patients' chart, and 12 cases having a fentanyl-only positive UDS. The median age of xylazine positives was 2 years (71.4% ≤ 3 years old, age ranged from 19 days to 14 years) and 78.6% were male. 7/14 fentanyl mixed with xylazine cases were collected in the emergency department and 7/14 were collected in intensive care. 2/14 of the xylazine positive cases had medical fentanyl administration prior to UDS. Conclusions Detection and management of fentanyl poisoning, especially when mixed with xylazine, remains a challenge in children. Presence of xylazine is a distinct marker of exposure to non-medical fentanyl. Continued surveillance of these cases could shed light on patterns that could aid further the management of affected children and contribute to harm reduction efforts.

B-206 Tick-borne disease molecular testing positivity and coinfection incidence in the northeastern united states: 2021-2023

Abstract Background The CDC estimates that Lyme disease affects hundreds of thousands of people each year in the United States. Tick-borne diseases caused by pathogens such as Anaplasma phagocytophilum, Babesia microti, Ehrlichia chaffeensis, and species of Borrelia follow a seasonal pattern due to the life cycle of disease-carrying ticks. In endemic areas, like the northeastern United States, the risk of coinfection by multiple tick-borne disease pathogens is higher and can complicate patient treatment. For example, while Anaplasma and Borrelia can be treated with doxycycline a Babesia coinfection would not be resolved with this medication. In this study, we performed a retrospective analysis of tick-borne disease molecular testing results to monitor positivity rates and incidence of coinfection. Methods This retrospective analysis included whole blood specimens submitted to a regional clinical laboratory in the northeastern United States for tick-borne disease molecular testing. Test results from 2021-2023 were analyzed for positivity rate trends and coinfection incidence. DNA was isolated from patient specimens and tested using laboratory developed real-time Taq polymerase PCR assays. Results Positivity rates for all tick-borne disease pathogens studied followed typical seasonal patterns (Table). Beginning in the early spring, as nymphs ended their dormancy and began to feed, infection rates of tick-borne disease climbed. Infections peaked in mid-summer and remained elevated through late autumn. For Anaplasma, a biphasic pattern was observed, with a smaller peak in late autumn when adult ticks are most active. Coinfections with Anaplasma and Babesia were observed in 136 specimens, while coinfections with Borrelia and Babesia were observed in 145 specimens. Conclusions Positivity rates for tick-borne disease pathogens followed expected seasonal patterns in the northeastern US. The incidence of coinfections involving Babesia microti highlights the importance of properly identifying tick-borne infections given the different treatment regimens indicated.

S322 Time Trends in Rates of Colorectal Cancer: Results From a National Database

S322 Time Trends in Rates of Colorectal Cancer: Results From a National Database

Determining the gross tumor volume for hepatocellular carcinoma radiotherapy based on multi-phase contrast-enhanced magnetic resonance imaging

PurposeThe aim of this study was to quantitatively analyze of the differences in determining the gross tumor volume (GTV) for hepatocellular carcinoma (HCC) radiotherapy using multi-phase contrast-enhanced magnetic resonance imaging (CE-MRI) and provide a reference for determining the GTV for radiotherapy of HCC. MethodsThis retrospective study analyzed 99 HCC patients (145 lesions) who underwent MR simulation. T1-weighted imaging (T1WI), contrast-enhanced T1WI (CE-T1WI) at 15 s, 45 s, 75 s, 150 s, and 20 min after contrast agent injection were performed, comprising a total of six imaging sequences. The GTVs identified on different sequences were grouped and fused in various combinations. The internal GTV (IGTV), which was the reference structure, was obtained by the fusion of all six sequences. Mean signal intensity (SI), volume, shape, and fibrous capsule (FC) thickness among GTVs were compared. Results(1) The mean SI value of GTV-T1WI, GTV-15s-GTV-20min in patients with transarterial chemoembolization (TACE) was lower by 14.09 % (GTV-T1WI) to 31.31 % (GTV-15s) compared with that in patients without TACE. Except for GTV-T1WI, the differences in SI values between the two groups for other GTVs were statistically significant (p < 0.05). (2) The volumes of GTV-T1WI, GTV-15s-GTV-20min ranged from 32.66-34.99 cm3. The volume differences between GTV-45s and the other GTVs were statistically significant (p < 0.05), excluding the GTV-T1WI. (3) Compared with the IGTV, the change trend of GTV volume reduction rate is consistent with that of dice similarity coefficients (DSC). (4) In the CE-T1WI sequences (except for CE-T1WI-15s), FC measurement was possible in 39.31 % of lesions (57/145), with the largest mean thickness observed at 75 s. ConclusionAlthough single-phase CE-MRI introduces uncertainty in HCC GTV determination, combining different phases CE-MRI can enhance accuracy. The CE-T1WI-45s should be routinely included as a necessary scanning sequence

Country and continent-wise trends in mortality rates of ovarian cancer from 1980-2021: An analysis of GBD study 2021.

148 Background: Ovarian cancer is one of the major causes of cancer related deaths in women worldwide. Early detection, primarily via ultrasound , can result in lower mortality and morbidity. We present a comprehensive evaluation derived from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, depicting the ovarian cancer associated mortality pattern from 1980 to 2021. Methods: Data were methodically retrieved from the Global Burden of Diseases (GBD) study, which included age-standardized death rates, Years of Lost Life (YLL), and disability-adjusted life years (DALYs). The dataset was stratified globally and categorized by continent, with Africa divided into Northern, Southern, Eastern, Western, and Central regions, and by World Bank income levels. Joinpoint Regression was employed to determine average annual percentage changes (AAPC). Results: Globally, the Age standardized death rates (ASDR) for ovarian cancer had an overall decline from 1980 to 2021. In 1980, the ASDR was 4.64 (95% UI: 4.3-5.14), and it declined to 4.05 (AAPC: -0.315; 95% CI: -0.35 to -0.27) in 2021. Globally, the disability-adjusted life-years (DALYs) rate was 132.4 (95% UI: 121.3–145.6) per 100,000 people in 1990, and it decreased to 115.14 (AAPC: -0.44; 95% CI: -0.52 to -0.36) in 2021. From 1990 to 2021, the age-standardized years of life lost (YLL) showed a uniform drop with an AAPC of -0.36 (95% CI: -0.40 to -0.31). However, in continent wise analysis, while the Americas and Europe had continuously declining ASDRs, Asia and Africa had an increasing trend throughout the predetermined time frame. From 1980 to 2021, America had an AAPC of -0.67 (95% CI: -0.69 to -0.65). Similarly, Europe also had a decreasing trend from 1980 to 2021 with an AAPC of -0.48 (95% CI: -0.50 to -0.45). The AAPC for Africa was 1.203 (95% CI: 1.19 to 1.21), showing a greater incline compared to the other continents. The AAPC for Asia was 0.54 (95% CI: 0.527 to 0.563). During further analysis of the African region, we observed that southern and eastern Africa had the highest ASDRs. According to World Bank income levels, low-income and lower-middle-income countries had increasing death rates, while high and upper-middle income countries had decreasing death rates from 1980 to 2021. Conclusions: The study disclosed a global decline in ovarian cancer fatality rates from 1980 to 2021. Although significant progress has been made in the Americas and Europe, mortality rates have risen in Asia and Africa, with southern and eastern Africa exhibiting particularly high rates. An increase in death rates is also observed in low- and lower-middle-income countries, contrasting with an overall decrease globally and in high-income nations.