Prevalence of Positive Childhood Experiences Among Adults - Behavioral Risk Factor Surveillance System, Four States, 2015-2021.

Positive childhood experiences (PCEs) promote optimal health and mitigate the effects of adverse childhood experiences, but PCE prevalence in the United States is not well-known. Using Behavioral Risk Factor Surveillance System data, this study describes the prevalence of individual and cumulative PCEs among adults residing in four states: Kansas (2020), Montana (2019), South Carolina (2020), and Wisconsin (2015). Cumulative PCE scores were calculated by summing affirmative responses to seven questions. Subscores were created for family-related (three questions) and community-related (four questions) PCEs. The prevalence of individual PCEs varied from 59.5% (enjoyed participating in community traditions) to 90.5% (adult in respondents' household made them feel safe), and differed significantly by race and ethnicity, age, and sexual orientation. Fewer non-Hispanic Black or African American (49.2%), non-Hispanic Alaska Native or American Indian (37.7%), and Hispanic or Latino respondents (38.9%) reported 6-7 PCEs than did non-Hispanic White respondents (55.2%). Gay or lesbian, and bisexual respondents were less likely than were straight respondents to report 6-7 PCEs (38.1% and 27.4% versus 54.7%, respectively). A PCE score of 6-7 was more frequent among persons with higher income and education. Improved understanding of the relationship of PCEs to adult health and well-being and variation among population subgroups might help reduce health inequities.

Adults' exposure to adverse childhood experiences in the United States nationwide and in each state: modeled estimates from 2019-2020.

BACKGROUND: Although preventable, adverse childhood experiences (ACEs) can result in lifelong health harms. Current surveillance data on adults' exposure to ACEs are either unavailable or incomplete for many U.S. states. METHODS: Current estimates of the proportion of U.S. adults with past ACEs exposures were obtained by analysing individual-level data from 2019 to 2020 Behavioural Risk Factor Surveillance System-annual nationally representative survey of noninstitutionalized adults aged 18+years. Standardised questions measuring ACEs exposures (presence of household member with mental illness, substance abuse, or incarceration; parental separation; witnessing intimate partner violence; experiencing physical, emotional, or sexual abuse during childhood) were categorised into 0, 1, 2-3, or 4+ACEs and reported by sociodemographic group in each state. Missing ACEs responses (state did not offer ACEs questions or offered to only some respondents; respondent skipped questions) were modelled through multilevel mixed-effects logistic (MMEL) and jackknifed MMEL regressions. RESULTS: In 2019-2020, an estimated 62.8% of U.S. adults had past exposure to 1+ACEs (range: 54.9% in Connecticut; 72.5% in Maine), including 22.4% of adults who were exposed to 4+ACEs (range: 11.9% in Connecticut; 32.8% in Nevada). At the national and state levels, exposure to 4+ACEs was highest among adults aged 18-34 years, those who did not graduate from high school, or adults who did not have a healthcare provider. Racial/ethnic distribution of adults exposed to 4+ACEs varied by age and state. CONCLUSIONS: ACEs are common but not equally distributed. ACEs exposures estimated by state and sociodemographic group can help decisionmakers focus public health interventions on populations disproportionately impacted in their area.

Prevalence of Adverse Childhood Experiences Among U.S. Adults - Behavioral Risk Factor Surveillance System, 2011-2020.

Adverse childhood experiences (ACEs) are defined as preventable, potentially traumatic events that occur among persons aged <18 years and are associated with numerous negative outcomes; data from 25 states indicate that ACEs are common among U.S. adults (1). Disparities in ACEs are often attributable to social and economic environments in which some families live (2,3). Understanding the prevalence of ACEs, stratified by sociodemographic characteristics, is essential to addressing and preventing ACEs and eliminating disparities, but population-level ACEs data collection has been sporadic (1). Using 2011-2020 Behavioral Risk Factor Surveillance System (BRFSS) data, CDC provides estimates of ACEs prevalence among U.S. adults in all 50 states and the District of Columbia, and by key sociodemographic characteristics. Overall, 63.9% of U.S. adults reported at least one ACE; 17.3% reported four or more ACEs. Experiencing four or more ACEs was most common among females (19.2%), adults aged 25-34 years (25.2%), non-Hispanic American Indian or Alaska Native (AI/AN) adults (32.4%), non-Hispanic multiracial adults (31.5%), adults with less than a high school education (20.5%), and those who were unemployed (25.8%) or unable to work (28.8%). Prevalence of experiencing four or more ACEs varied substantially across jurisdictions, from 11.9% (New Jersey) to 22.7% (Oregon). Patterns in prevalence of individual and total number of ACEs varied by jurisdiction and sociodemographic characteristics, reinforcing the importance of jurisdiction and local collection of ACEs data to guide targeted prevention and decrease inequities. CDC has released prevention resources, including Preventing Adverse Childhood Experiences: Leveraging the Best Available Evidence, to help provide jurisdictions and communities with the best available strategies to prevent violence and other ACEs, including guidance on how to implement those strategies for maximum impact (4-6).

The Estimated Impact of Implementing a Funding Allocation Formula on the Number of Gonorrhea Cases in the United States, 2014 to 2018.

BACKGROUND: The Centers for Disease Control and Prevention (CDC) allocates funds annually to state and local programs in the United States to monitor and prevent sexually transmitted diseases (STDs). In 2014, a funding formula was implemented to allocate prevention funds to jurisdictions according to their STD burden and population size. We estimated the effect of implementing the funding formula in terms of gonorrhea cases averted from 2014 to 2018, a period during which inflation-adjusted CDC STD prevention funding declined. METHODS: Our model assumed that STD prevention funds have a measurable effect on subsequent reported gonorrhea case rates, and the magnitude of this effect was as estimated in an empirical analysis of decades of state-level gonorrhea rates. In applying this equation-based model, we assumed all factors affecting jurisdictions' gonorrhea rates were constant over time except for their STD prevention funding allocations. We used data on CDC STD prevention funding allocated to each jurisdiction over time. We estimated gonorrhea rates under the "funding formula" scenario compared with a hypothetical "status quo" funding scenario, which reflected traditional methods to allocate prevention funds. RESULTS: In the model, gonorrhea cases increased from 2014 to 2018 by approximately 6% because of a decline in prevention funding, regardless of how funds were allocated. However, the estimated increase in gonorrhea cases was 5222 (range, 1181-9195) cases less in the funding formula scenario than in the status quo scenario. CONCLUSIONS: By shifting resources toward jurisdictions with greater disease burden, the funding formula averted a substantial number of gonorrhea cases at no additional cost.

Impacts of Changing Sexual Behavior on Chlamydia and Gonorrhea Burden Among US High School Students, 2007 to 2017.

BACKGROUND: Rates of adolescent sexual activity have long been declining in the United States. We sought to estimate the number of cases of gonorrhea and chlamydia averted over 1 decade associated with these declines and associated costs saved. METHODS: We analyzed data from the Centers for Disease Control and Prevention's Youth Risk Behavior Survey of US high school students from 2007 to 2017 and combined it with epidemiological estimates drawn from the literature to parameterize a dynamic population transmission model. We compared transmissions from observed behavioral trends with a counterfactual scenario that assumed sexual behaviors from 2007 remained constant for 10 years. We calculated outcomes by age and for 3 racial/ethnic groups (Hispanic, non-Hispanic Black, and non-Hispanic White adolescents) who vary on underlying burden and amount of behavioral change. RESULTS: We estimated 1,118,483 cases of chlamydia and 214,762 cases of gonorrhea were averted (19.5% of burden across all ages). This yielded $474 million (2017 dollars) savings in medical costs over the decade. The largest number of averted cases (767,543) was among Black adolescents, but the largest proportion (28.7%) was among Hispanic adolescents. CONCLUSIONS: Whatever its origins, changing sexual behavior among adolescents results in large estimated reductions in STI burden and medical costs relative to previous cohorts. Although diagnoses among adolescents have not declined at this rate, multiple explanations could make these apparently divergent trends consistent. Efforts to continue supporting effective sex education in and out of school along with STI screening for adolescents should reinforce these gains.

Effects of Condom Use on Human Immunodeficiency Virus Transmission Among Adolescent Sexual Minority Males in the United States: A Mixed Epidemiology and Epidemic Modeling Study.

BACKGROUND: We examined condom use patterns and potential population-level effects of a hypothetical condom intervention on human immunodeficiency virus (HIV) transmission among adolescent sexual minority males (ASMM). METHODS: Using 3 data sets: national Youth Risk Behavior Survey 2015 to 2017 (YRBS-National), local YRBS data from 8 jurisdictions with sex of partner questions from 2011 to 2017 (YRBS-Trends), and American Men's Internet Survey (AMIS) 2014 to 2017, we assessed associations of condom use with year, age, and race/ethnicity among sexually active ASMM. Using a stochastic agent-based network epidemic model, structured and parameterized based on the above analyses, we calculated the percent of HIV infections averted over 10 years among ASMM ages 13 to 18 years by an intervention that increased condom use by 37% for 5 years and was delivered to 62% of ASMM at age 14 years. RESULTS: In YRBS, 51.8% (95% confidence interval [CI], 41.3-62.3%) and 37.9% (95% CI, 32.7-42.3%) reported condom use at last sexual intercourse in national and trend data sets, respectively. In AMIS, 47.3% (95% CI, 44.6-49.9%) reported condom use at last anal sex with a male partner. Temporal trends were not observed in any data set (P > 0.1). Condom use varied significantly by age in YRBS-National (P < 0.0001) and YRBS-Trends (P = 0.032) with 13- to 15-year-olds reporting the lowest use in both; age differences were not significant in AMIS (P = 0.919). Our hypothetical intervention averted a mean of 9.0% (95% simulation interval, -5.4% to 21.2%) of infections among ASMM. CONCLUSIONS: Condom use among ASMM is low and appears to have remained stable during 2011 to 2017. Modeling suggests that condom use increases, consistent with previous interventions, have potential to avert 1 in 11 new HIV infections among ASMM.

Effect of pharmacodynamical interaction between nutlin-3a and aspirin in the activation of p53.

BACKGROUND AND OBJECTIVE: p53, an anti-tumour protein, is significantly inactivated in most tumours. A small molecule of nutlin-3a is used to activate its function by repressing (Mouse double minute 2 homolog) Mdm2 protein which inhibits its activity. In cancer patients, a high risk of drug-drug interactions (DDIs) is observed owing to their multi-dosing prescriptions, which may lead them to harmful effects. In the presented work, we have aimed to investigate the effect of pharmacodynamical interaction between two anti-cancer drugs, nutlin-3a and aspirin in the activation of p53 protein. METHODS: We have adapted control system techniques and designed a Proportional-Integral-Derivative (PID) controller. This controller is used to activate p53 protein. A drug interaction parameter is used to incorporate the effect of both drugs. Extensive simulation is performed using two different doses of aspirin, i.e. a low and a high dose of aspirin. RESULTS: The result shows no harmful effects of pharmacodynamical interaction when a low dose is administered along with nutlin-3a. When a high dose of aspirin is administered it acts as input disturbance and leads to undesirable over-expression of p53 protein. This can further harm other growth cells, thus inducing harmful effects. A comparative analysis is also tabulated with different dosing regimens which shows that a combination of nutlin-3a and a low dose of aspirin provides better results than a high dose of aspirin. CONCLUSION: Overall, the work provides an insight to the activation of p53 protein in cancer patients under the presence of pharmacodynamical interaction and might contribute to the effective management of cancer patients.

Hepatitis A Hospitalization Costs, United States, 2017.

The United States is in the midst of unprecedented person-to-person hepatitis A outbreaks. By using Healthcare Cost and Utilization Project data, we estimated the average costs per hepatitis A-related hospitalization in 2017. These estimates can guide investment in outbreak prevention efforts to stop the spread of this vaccine-preventable disease.

Mathematical modeling study of school-based chlamydia screening: potential impact on chlamydia prevalence in intervention schools and surrounding communities.

BACKGROUND: Chlamydia screening in high schools offers a way to reach adolescents outside of a traditional clinic setting. Using transmission dynamic modeling, we examined the potential impact of high-school-based chlamydia screening programs on the burden of infection within intervention schools and surrounding communities, under varying epidemiological and programmatic conditions. METHODS: A chlamydia transmission model was calibrated to epidemiological data from three different settings. Philadelphia and Chicago are two high-burden cities with existing school-based screening programs. Rural Iowa does not have an existing program but represents a low-burden setting. We modeled the effects of the two existing programs to analyze the potential influence of program coverage and student participation. All three settings were used to examine a broader set of hypothetical programs with varying coverage levels and time trends in participation. RESULTS: In the modeled Philadelphia program, prevalence among the intervention schools' sexually active 15-18 years old population was 4.34% (95% credible interval 3.75-4.71%)after 12 program years compared to 5.03% (4.39-5.43%) in absence of the program. In the modeled Chicago program, prevalence was estimated as 5.97% (2.60-7.88%) after 4 program years compared to 7.00% (3.08-9.29%) without the program. In the broader hypothetical scenarios including both high-burden and low-burden settings, impact of school-based screening programs was greater in absolute terms in the higher-prevalence settings, and benefits in the community were approximately proportional to population coverage of intervention schools. Most benefits were garnered if the student participation did not decline over time. CONCLUSIONS: Sustained high student participation in school-based screening programs and broad coverage of schools within a target community are likely needed to maximize program benefits in terms of reduced burden of chlamydia in the adolescent population.

Increasing Syphilis Diagnoses Among Females Giving Birth in US Hospitals, 2010-2014.

BACKGROUND: National trends in syphilis rates among females delivering newborns are not well characterized. We assessed 2010-2014 trends in syphilis diagnoses documented on discharge records and associated factors among females who have given birth in US hospitals. METHODS: We calculated quarterly trends in syphilis rates (per 100,000 deliveries) by using International Classification of Diseases, Ninth Revision, Clinical Modification codes on delivery discharge records from the National Inpatient Sample. Changes in trends were determined by using Joinpoint software. We estimated relative risks (RR) to assess the association of syphilis diagnoses with race/ethnicity, age, insurance status, household income, and census region. RESULTS: Overall, estimated syphilis rates decreased during 2010-2012 at 1.0% per quarter (P < 0.001) and increased afterward at 1.8% (P < 0.001). The syphilis rate increase was statistically significant across all sociodemographic groups and all US regions, with substantial increases identified among whites (35.2% per quarter; P < 0.001) and Medicaid recipients (15.1%; P < 0.001). In 2014, the risk of syphilis diagnosis was greater among blacks (RR, 13.02; 95% confidence interval [CI], 9.46-17.92) or Hispanics (RR, 4.53; 95% CI, 3.19-6.42), compared with whites; Medicaid recipients (RR, 4.63; 95% CI, 3.38-6.33) or uninsured persons (RR, 2.84; 95% CI, 1.74-4.63), compared with privately insured patients; females with the lowest household income (RR, 5.32; 95% CI, 3.55-7.97), compared with the highest income; and females in the South (RR, 2.42; 95% CI, 1.66-3.53), compared with the West. CONCLUSIONS: Increasing syphilis rates among pregnant females of all backgrounds reinforce the importance of prenatal screening and treatment.

Does including violent crime rates in ecological regression models of sexually transmissible infection rates improve model quality? Insights from spatial regression analyses.

Background Violent crime rates are often correlated with the hard-to-measure social determinants of sexually transmissible infections (STIs). In this study, we examined whether including violent crime rate as an independent variable can improve the quality of ecological regression models of STIs. METHODS: We obtained multiyear (2008-12) cross-sectional county-level data on violent crime and three STIs (chlamydia, gonorrhoea, and primary and secondary (P&S) syphilis) from counties in all the contiguous states in the US (except Illinois and Florida, due to lack of data). We used two measures of STI morbidity (one categorical and one continuous) and applied spatial regression with the spatial error model for each STI, with and without violent crime rate as an independent variable. We computed the associated Akaike's information criterion (AIC) and Bayesian information criterion (BIC) as our measure of the relative goodness of fit of the models. RESULTS: Including the violent crime rate as an independent variable improved the quality of the regression models after controlling for several sociodemographic factors. We found that the lower calculated AICs and BICs indicated more favourable goodness of fit in all the models that included violent crime rates, except for the categorical P&S syphilis model, in which the violent crime variable was not statistically significant. CONCLUSION: Because violent crime rates can account for the hard-to-measure social determinants of STIs, including violent crime rate as an independent variable can improve ecological regression models of STIs.

Significant difference in HEDIS annual chlamydia testing rates between women who had given birth and those who had not among young Medicaid women.

We used the 2013 Medicaid Analytic eXtract (MAX) database to estimate chlamydia testing rates separately for sexually active women aged 15-25 years who had, or had not, given birth in 2013. Approximately 9.2% of sexually active women aged 15-25 years gave birth in 2013. The Healthcare Effectiveness Data Information Set (HEDIS) annual chlamydia testing rate was significantly higher among women who had given birth than women who had not in 2013 (59.7 vs 29.4%, P<0.05). Our findings suggest a need for more research to understand how differences in population mix changes and preventive screening practices for pregnant and non-pregnant women affect publicly reported chlamydia screening rates.

Corrigendum to: Significant difference in HEDIS annual chlamydia testing rates between women who had given birth and those who had not among young Medicaid women.

We used the 2013 Medicaid Analytic eXtract (MAX) database to estimate chlamydia testing rates separately for sexually active women aged 15-25 years who had, or had not, given birth in 2013. Approximately 9.2% of sexually active women aged 15-25 years gave birth in 2013. The Healthcare Effectiveness Data Information Set (HEDIS) annual chlamydia testing rate was significantly higher among women who had given birth than women who had not in 2013 (59.7 vs 29.4%, P<0.05). Our findings suggest a need for more research to understand how differences in population mix changes and preventive screening practices for pregnant and non-pregnant women affect publicly reported chlamydia screening rates.

Systematic Review of Per Person Violence Costs.

INTRODUCTION: Data on the long-term and comprehensive cost of violence are essential for informed decision making regarding the future benefits of resources directed toward violence prevention. This review aimed to summarize original per-person estimates of the attributable cost of interpersonal violence to support public health economic research and decision making. METHODS: In 2023, English-language peer-reviewed journal articles published in 2000-2022 with a focus on high-income countries reporting original per-person average cost of violence estimates were identified using index terms in multiple databases. Study contents, including violence type (e.g., adverse childhood experiences), timeline and payer cost perspective (e.g., hospitalization event-only healthcare payer cost), and associated per-person cost estimates, were summarized. Costs were in 2022 U.S. dollars. RESULTS: Per-person cost estimates related to adverse childhood experiences, community violence, sexual violence, intimate partner violence, homicide, firearm violence, youth violence, workplace violence, and bullying from 73 studies (majority focusing on the U.S.) were summarized. For example, among 23 studies with a focus on adverse childhood experiences, monetary estimates ranged from $390 for adverse childhood experience-related annual healthcare out-of-pocket costs per U.S. adult with ≥3 adverse childhood experiences to $20.2 million for the lifetime societal economic burden of a U.S. child maltreatment fatality. CONCLUSIONS: This review provides a descriptive summary of available per-person cost of violence estimates. Results can help public health professionals to describe the economic burden of violence, identify the best available estimate for a particular public health question, and address data gaps. Ultimately, understanding the long-term and comprehensive cost of violence is necessary to anticipate the economic benefits of prevention.

State-level population estimates of sexual minority adolescents in the United States: A predictive modeling study.

PURPOSE: The Youth Risk Behavior Survey (YRBS) among high school students includes standard questions about sexual identity and sex of sexual contacts, but these questions are not consistently included in every state that conducts the survey. This study aimed to develop and apply a method to predict state-level proportions of high school students identifying as lesbian, gay, or bisexual (LGB) or reporting any same-sex sexual contacts in those states that did not include these questions in their 2017 YRBS. METHODS: We used state-level high school YRBS data from 2013, 2015, and 2017. We defined two primary outcomes relating to self-reported LGB identity and reported same-sex sexual contacts. We developed machine learning models to predict the two outcomes based on other YRBS variables, and comparing different modeling approaches. We used a leave-one-out cross-validation approach and report results from best-performing models. RESULTS: Modern ensemble models outperformed traditional linear models at predicting state-level proportions for the two outcomes, and we identified prediction methods that performed well across different years and prediction tasks. Predicted proportions of respondents reporting LGB identity in states that did not include direct measurement ranged between 9.4% and 12.9%. Predicted proportions of respondents reporting any same-sex contacts, where not directly observed, ranged between 7.0% and 10.4%. CONCLUSION: Comparable population estimates of sexual minority adolescents can raise awareness among state policy makers and the public about what proportion of youth may be exposed to disparate health risks and outcomes associated with sexual minority status. This information can help decision makers in public health and education agencies design, implement and evaluate community and school interventions to improve the health of LGB youth.

Adverse Childhood Experiences Among U.S. Adults: National and State Estimates by Adversity Type, 2019-2020.

INTRODUCTION: Although adverse childhood experiences (ACEs) are associated with lifelong health harms, current surveillance data on exposures to childhood adversity among adults are either unavailable or incomplete for many states. In this study, recent data from a nationally representative survey were used to obtain the current and complete estimates of ACEs at the national and state levels. METHODS: Current, complete, by-state estimates of adverse childhood experiences were obtained by applying small area estimation technique to individual-level data on adults aged ≥18 years from 2019-2020 Behavioral Risk Factor Surveillance System survey. The standardized questions about childhood adversity included in the 2019-2020 survey allowed for obtaining estimates of ACE consistent across states. All missing responses to childhood adversity questions (states did not offer such questions or offered them to only some respondents; respondents skipped questions) were predicted through multilevel mixed-effects logistic small area estimation regressions. The analyses were conducted between October 2022 and May 2023. RESULTS: An estimated 62.8% of U.S. adults had past exposure to ACEs (range: 54.9% in Connecticut; 72.5% in Maine). Emotional abuse (34.5%) was the most common; household member incarceration (10.6%) was the least common. Sexual abuse varied markedly between females (22.2%) and males (5.4%). Exposure to most types of adverse childhood experiences was lowest for adults who were non-Hispanic White, had the highest level of education (college degree) or income (annual income ≥$50,000), or had access to a personal healthcare provider. CONCLUSIONS: Current complete estimates of ACEs demonstrate high countrywide exposures and stark sociodemographic inequalities in the burden, highlighting opportunities to prevent adverse childhood experiences by focusing social, educational, medical, and public health interventions on populations disproportionately impacted.

Changes in systemic cancer therapy in Australia during the Delta and Omicron waves of the COVID-19 pandemic (2021-2022): a controlled interrupted time series analysis.

OBJECTIVES: Australian lockdowns in response to the initial coronavirus disease 2019 (COVID-19) outbreak in 2020 were associated with small and transient changes in the use of systemic cancer therapy. We aimed to investigate the impacts of the longer and more restrictive lockdowns in the Australian states of New South Wales (NSW) and Victoria during both the Delta subvariant lockdowns in mid-2021 and the Omicron subvariant outbreak in late 2021/early 2022. STUDY TYPE: Population-based, controlled interrupted time series analysis. METHODS: We conducted a national observational study using de-identified records of government-subsidised cancer medicines dispensed to a random 10% sample of Australians between July 2018 and July 2022. We used controlled interrupted time series analysis to investigate changes in the dispensing, initiation and discontinuation of all cancer medicines dispensed to residents of NSW and Victoria, using the rest of Australia as a control series. We used quasi-Poisson regression to model weekly counts and estimate incidence rate ratios (IRRs) for the effect of (each) the Delta phase lockdown and the Omicron outbreak on our systemic cancer therapy outcomes. RESULTS: Between July 2018 and July 2022, cancer medicines were dispensed 592 141 times to 33 198 people in NSW and Victoria. Overall, there were no changes to the rates of dispensing, initiation or discontinuation of antineoplastics during the Delta phase lockdowns. In both states during the Omicron outbreak, there were significant decreases in the dispensing of antineoplastics (NSW IRR 0.89; 95% confidence interval [CI] 0.84, 0.93. Victoria IRR 0.92; 95% CI 0.88, 0.96) and in the initiation of endocrine therapy (NSW IRR 0.85; 95% CI 0.74, 0.99. Victoria IRR 0.78; 95% CI 0.65, 0.94), and no changes in the discontinuation of any systemic cancer therapy. CONCLUSIONS: The 2021 lockdowns and 2021/2022 Omicron outbreaks in NSW and Victoria had significant impacts on the dispensing, initiation and discontinuation of systemic cancer therapies, however, the overall effects were minimal. The impacts of lockdowns were less significant than the Omicron outbreaks, suggesting COVID-19 infection, health system capacity, and patient and community concerns were important factors for treatment changes.

Effectiveness of cephalosporins in hydrolysis and inhibition of Staphylococcus aureus and Escherichia coli biofilms.

IMPORTANCE: Staphylococcus aureus and Escherichia coli contribute to global health challenges by forming biofilms, a key virulence element implicated in the pathogenesis of several infections. OBJECTIVE: The study examined the efficacy of various generations of cephalosporins against biofilms developed by pathogenic S. aureus and E. coli. METHODS: The development of biofilms by both bacteria was assessed using petri-plate and microplate methods. Biofilm hydrolysis and inhibition were tested using first to fourth generations of cephalosporins, and the effects were analyzed by crystal violet staining and phase contrast microscopy. RESULTS: Both bacterial strains exhibited well-developed biofilms in petri-plate and microplate assays. Cefradine (first generation) showed 76.78% hydrolysis of S. aureus biofilm, while significant hydrolysis (59.86%) of E. coli biofilm was observed by cefipime (fourth generation). Similarly, cefuroxime, cefadroxil, cefepime, and cefradine caused 78.8%, 71.63%, 70.63%, and 70.51% inhibition of the S. aureus biofilms, respectively. In the case of E. coli, maximum biofilm inhibition (66.47%) was again shown by cefepime. All generations of cephalosporins were more effective against S. aureus than E. coli, which was confirmed by phase contrast microscopy. CONCLUSIONS AND RELEVANCE: Cephalosporins exhibit dual capabilities of hydrolyzing and inhibiting S. aureus and E. coli biofilms. First-generation cephalosporins exhibited the highest inhibitory activity against S. aureus, while the third and fourth generations significantly inhibited E. coli biofilms. This study highlights the importance of tailored antibiotic strategies based on the biofilm characteristics of specific bacterial strains.

Ameliorative Effects of Prolotherapy on Histomorphology of Tibial Articular Cartilage of Chemically Induced Osteoarthritic Knee Joint in a Rat Model.

OBJECTIVE: To determine the ameliorative effects of prolotherapy on monosodium iodoacetate (MIA) induced and histomorphological changes in the articular cartilage of tibial condyles at rat knee joint. STUDY DESIGN: An experimental study. Place and Duration of the Study: Department of Anatomy, Army Medical College Rawalpindi, NUMS, Rawalpindi, from August to November 2021. METHODOLOGY: Thirty adult male Sprague Dawley rats were divided into three groups, each having 10 rats. Group A was control. Group B was injected with single dose of 1mg MIA intraarticularly in the right knee to induce osteoarthritic changes. Group C was injected with single dose of 1mg MIA intraarticularly, in right knee was followed by 0.1ml Prolotherapy (3ml of 25% dextrose, 2ml of 2% xylocaine, 1ml of injection neurobion, and 1ml of injection methecobal) as intra articular injection at week 2, 6 and 10 in right knee. Rats were sacrificed after one month of the last dose of Prolotherapy. Articular cartilage was collected for gross and histological examination and compared among the groups. RESULTS: Articular cartilage belonging to control group A was normal. While group B showed statistically significant deterioration in gross appearance (p = 0.001**), reduction in number of chondrocytes (p = 0.005*) and thickness of articular cartilage (p = 0.001**) in comparison to group A. In group C due to prolotherapy statistically significant improvement in gross appearance (p = 0.034*), increase in number of chondrocytes (p = 0.003*), and thickness of articular cartilage (p = 0.001**) was observed as compared to group B. CONCLUSION: Prolotherapy significantly ameliorates histomorphology of tibial articular cartilage against MIA induced osteoarthritic changes in rat knee joint. KEY WORDS: Articular cartilage, Knee joint, Monosodium iodoacetate, Osteoarthritis, Prolotherapy.

Prevalence of Australians exposed to potentially cardiotoxic cancer medicines: a population-based cohort study.

Background: Cardiovascular disease (CVD) and cancer are leading causes of death and people with cancer are at higher risk of developing CVD than the general population. Many cancer medicines have cardiotoxic effects but the size of the population exposed to these potentially cardiotoxic medicines is not known. We aimed to determine the prevalence of exposure to potentially cardiotoxic cancer medicines in Australia. Methods: We identified potentially cardiotoxic systemic cancer medicines through searching the literature and registered product information documents. We conducted a retrospective cohort study of Australians dispensed potentially cardiotoxic cancer medicines between 2005 and 2021, calculating age-standardised annual prevalence rates of people alive with exposure to a potentially cardiotoxic medicine during or prior to each year of the study period. Findings: We identified 108,175 people dispensed at least one potentially cardiotoxic cancer medicine; median age, 64 (IQR: 52-74); 57% female. Overall prevalence increased from 49 (95%CI: 48.7-49.3)/10,000 to 232 (95%CI: 231.4-232.6)/10,000 over the study period; 61 (95%CI: 60.5-61.5)/10,000 to 293 (95%CI: 292.1-293.9)/10,000 for females; and 39 (95%CI: 38.6-39.4)/10,000 to 169 (95%CI: 168.3-169.7)/10,000 for males. People alive five years following first exposure increased from 29 (95%CI: 28.8-29.2)/10,000 to 134 (95%CI: 133.6-134.4)/10,000; and from 22 (95%CI: 21.8-22.2)/10,000 to 76 (95%CI: 75.7-76.3)/10,000 for those alive at least 10 years following first exposure. Most people were exposed to only one potentially cardiotoxic medicine, rates of which increased from 39 (95%CI: 38.7-39.3)/10,000 in 2005 to 131 (95%CI: 130.6-131.4)/10,000 in 2021. Interpretation: The number of people exposed to efficacious yet potentially cardiotoxic cancer medicines in Australia is growing. Our findings can support the development of service planning and create awareness about the magnitude of cancer treatment-related cardiotoxicities. Funding: NHMRC Centre for Research Excellence in Medicines Intelligence, Cancer Institute NSW Early Career Fellowship.