Gender health care inequalities in health crisis: when uncertainty can lead to inequality.

BACKGROUND: In health crisis, inequalities in access to and use of health care services become more evident. The objective of this study is to analyse the existence and evolution of gender inequalities in access to and use of healthcare services in the context of the COVID-19 health crisis. METHODS: Retrospective cohort study using data from all individuals with a confirmed COVID-19 infection from March 2020 to March 2022 in Aragón (Spain) (390,099 cases). Health care access and use was analysed by gender for the different pandemic waves. Univariate and multivariate analyses were conducted to evaluate the effect of sex in health care. Blinder-Oaxaca decomposition methods were performed to explain gender gaps observed. RESULTS: The health care received throughout the COVID-19 pandemic differed between men and women. Women were admitted to hospital and intensive care units less frequently than men and their stays were shorter. Differences observed between men and women narrowed throughout the pandemic, but persisted even after adjusting for age, socioeconomic status, morbidity burden or the patient's place of residence. Differences in sociodemographic characteristics and morbidity burden could explain partially the gender inequalities found, mainly in the later phases of the pandemic, but not in the earlier waves. CONCLUSIONS: There were gender inequalities in access to and use of health services during the COVID-19 pandemic. Inequalities were greater in the first waves of the pandemic, but did not disappear. Analysis of health crises must take into account an intersectional gender perspective to ensure equitable health care.

Exploring sex variations in the incidence of cardiovascular events: a counterfactual decomposition analysis.

BACKGROUND: Some cardiovascular risk factors (CVRFs) that occur differently in men and women can be addressed to reduce the risk of suffering a major adverse cardiovascular event (MACE). Furthermore, the development of MACE is highly influenced by social determinants of health. Counterfactual decomposition analysis is a new methodology that has the potential to be used to disentangle the role of different factors in health inequalities. This study aimed to assess sex differences in the incidence of MACE and to estimate how much of the difference could be attributed to the prevalence of diabetes, hypertension, hypercholesterolaemia and socioeconomic status (SES). METHODS: Descriptive and counterfactual analyses were conducted in a population of 278 515 people with CVRFs. The contribution of the causal factors was estimated by comparing the observed risk ratio with the causal factor distribution that would have been observed if men had been set to have the same factor distribution as women. The study period was between 2018 and 2021. RESULTS: The most prevalent CVRF was hypercholesterolaemia, which was similar in both sexes, while diabetes was more prevalent in men. The incidence of MACE was higher in men than in women. The main causal mediating factors that contributed to the sex differences were diabetes and SES, the latter with an offsetting effect. CONCLUSIONS: This result suggests that to reduce the MACE gap between sexes, diabetes prevention programmes targeting men and more gender-equal salary policies should be implemented.

Influence of cardiovascular risk factors and treatment exposure on cardiovascular event incidence: Assessment using machine learning algorithms.

Assessment of the influence of cardiovascular risk factors (CVRF) on cardiovascular event (CVE) using machine learning algorithms offers some advantages over preexisting scoring systems, and better enables personalized medicine approaches to cardiovascular prevention. Using data from four different sources, we evaluated the outcomes of three machine learning algorithms for CVE prediction using different combinations of predictive variables and analysed the influence of different CVRF-related variables on CVE prediction when included in these algorithms. A cohort study based on a male cohort of workers applying populational data was conducted. The population of the study consisted of 3746 males. For descriptive analyses, mean and standard deviation were used for quantitative variables, and percentages for categorical ones. Machine learning algorithms used were XGBoost, Random Forest and Naïve Bayes (NB). They were applied to two groups of variables: i) age, physical status, Hypercholesterolemia (HC), Hypertension, and Diabetes Mellitus (DM) and ii) these variables plus treatment exposure, based on the adherence to the treatment for DM, hypertension and HC. All methods point out to the age as the most influential variable in the incidence of a CVE. When considering treatment exposure, it was more influential than any other CVRF, which changed its influence depending on the model and algorithm applied. According to the performance of the algorithms, the most accurate was Random Forest when treatment exposure was considered (F1 score 0.84), followed by XGBoost. Adherence to treatment showed to be an important variable in the risk of having a CVE. These algorithms could be applied to create models for every population, and they can be used in primary care to manage interventions personalized for every subject.

Spanish translation of the ABC taxonomy for medication adherence.

BACKGROUND: The Ascertaining Barriers to Compliance (ABC) taxonomy was developed aiming at systematizing definitions and operationalizations of medication adherence. Its translation is crucial to improve the generalizability, application and comparison of study findings. OBJECTIVE: To provide a consensus translation of the ABC taxonomy from English to Spanish. METHODS: A two-phased approach was used, according to the Preferred Methods for the Translation of the ABC Taxonomy for Medication Adherence. Two literature reviews were conducted: to identify Spanish synonyms and definitions of the ABC taxonomy, and to identify a panel of Spanish-speaking experts in medication adherence. A Delphi survey was designed based on the synonyms and definitions found. The experts previously identified were invited to participate in the Delphi. A consensus of ≥85% was established for the first round. A moderate consensus (50-75%), a consensus (75-95%) or a strong consensus (>95%) were considered to be necessary in the second round. RESULTS: Forty potential synonyms of the ABC taxonomy terms were identified from a total of 270 papers. The response rate during the first Delphi round was 32% (63/197) and in the second round 86% (54/63). A strong consensus was reached for the term "inicio del tratamiento" (96%) and consensus for the term "implementación" (83%). A moderate consensus was obtained for "adherencia a la medicación" (70%), "interrupción del tratamiento" (52%), "manejo de la adherencia" (54%) and "disciplinas relacionadas con la adherencia" (74%). No consensus was reached for the term persistence. Five out of the seven definitions reached a consensus in the first round, and two definitions a moderate consensus after the second round. CONCLUSION: The adoption of the Spanish taxonomy will increase transparency, comparability and transferability of results in the field of medication adherence. This may facilitate benchmarking of adherence strategies between Spanish-speaking researchers and practitioners, and other language speakers.

Enfermedad musculoesquelética en población trabajadora: perfil de los afectados y manejo farmacológico / Musculoesqueletic diseases in working population: subjects' profile and pharmacological management

El presente estudio describe las enfermedades musculoesqueléticas (EME) de una cohorte de trabajadores de tipo manual, así como el uso de los fármacos indicados para el control del dolor. Estudio observacional retrospectivo llevado a cabo en el ámbito del Aragon Workers' Health Study (AWHS). Se ha analizado la prevalencia de las diferentes EME, la tasa de utilización de fármacos empleados en el tratamiento del dolor y el número de dosis diarias definidas (DDD) consumidas. El 15,4% de los trabajadores estudiados fueron diagnosticados de, al menos, una EME. De ellos, el 54,1% tenía sobrepeso y el 74,0% eran mayores de 55 años. La tasa de utilización de los antiinflamatorios no esteroideos (AINE) fue del 69,5%, y de los analgésicos no opiáceos, del 29,9%. Los datos presentados ponen de manifiesto la utilización elevada y, en algunos casos, continuada que existe de tratamientos analgésicos y antiinflamatorios. (AU)

The present study describes the musculoskeletal diseases (MSD) of a cohort of manual workers, as well as the use of drugs indicated for pain control. Retrospective observational study carried out within the framework of the Aragon Workers' Health Study (AWHS). The prevalence of the different EMEs, the rate of use of drugs used in the treatment of pain and the number of defined daily doses (DDD) consumed have been analysed. 15.4% of the workers studied were diagnosed with at least one EME. Of them, 54.1% were overweight and 74.0% were older than 55 years. The utilization rate of non-steroidal anti-inflammatory drugs (NSAIDs) was 69.5%, and of non-opioid analgesics, 29.9%. The data presented show the high use and, in some cases, the continuous use of analgesic and anti-inflammatory treatments. (AU)

Patterns of statin adherence in primary cardiovascular disease prevention during the pandemic.

Background: Study of medication adherence patterns can help identify patients who would benefit from effective interventions to improve adherence. Objectives: To identify and compare groups of statin users based on their adherence patterns before and during the COVID-19 pandemic, to characterize the profile of users in each group, and to analyze predictors of distinct adherence patterns. Methods: Participants of the CARhES (CArdiovascular Risk factors for HEalth Services research) cohort, comprising individuals aged >16 years, residing in Aragón (Spain), with hypertension, diabetes mellitus and/or dyslipidemia, took part in this observational longitudinal study. Individuals who began statin therapy during January-June 2019 were selected and followed up until June 2021. Those with a cardiovascular event before or during follow-up were excluded. Data were obtained from healthcare system data sources. Statin treatment adherence during the implementation phase was estimated bimonthly using the Continuous Medication Availability (CMA9) function in the AdhereR package. Group-based trajectory models were developed to group statin users according to their adherence pattern during July 2019-June 2021. Group characteristics were compared and predictors of each adherence pattern were analyzed using multinomial logistic regression. Results: Of 15,332 new statin users, 30.8% had a mean CMA9 ≥80% for the entire study period. Four distinct adherence patterns were identified: high adherence (37.2% of the study population); poor adherence (35.6%); occasional use (14.9%); and gradual decline (12.3%). The latter two groups included users who showed a change in adherence (increase or decrease) during the pandemic emergence. Users with suboptimal adherence were likely to be younger, not pensioners, not institutionalized, with low morbidity burden and a low number of comorbidities. Female sex and switching between statins of different intensity increased the likelihood of belonging to the occasional use group, in which improved adherence coincided with the pandemic. Conclusion: We identified four distinct adherence patterns in a population of new statin users; two of them modified their adherence during the pandemic. Characterization of these groups could enable more effective distribution of resources in future similar crisis and the routine implementation of patient-centered interventions to improve medication adherence.

Understanding the COVID-19 Pandemic in Nursing Homes (Aragón, Spain): Sociodemographic and Clinical Factors Associated With Hospitalization and Mortality.

Old people residing in nursing homes have been a vulnerable group to the coronavirus disease 2019 (COVID-19) pandemic, with high rates of infection and death. Our objective was to describe the profile of institutionalized patients with a confirmed COVID-19 infection and the socioeconomic and morbidity factors associated with hospitalization and death. We conducted a retrospective cohort study including data from subjects aged 65 years or older residing in a nursing home with a confirmed COVID-19 infection from March 2020 to March 2021 (4,632 individuals) in Aragón (Spain). We analyzed their sociodemographic and clinical profiles and factors related to hospitalization and mortality at 7, 30, and 90 days of COVID-19 diagnosis using logistic regression analyses. We found that the risk of hospitalization and mortality varied according to sociodemographic and morbidity profile. There were inequalities in hospitalization by socioeconomic status and gender. Patients with low contributory pensions and women had a lower risk of hospitalization. Diabetes mellitus, heart failure, and chronic kidney disease were associated with a higher risk of hospitalization. On the contrary, people with dementia showed the highest risk of mortality with no hospitalization. Patient-specific factors must be considered to develop equitable and effective measures in nursing homes to be prepared for future health threats.

Effectiveness of Statins for Primary Prevention of Cardiovascular Disease in Low- and Medium-Risk Males: A Causal Inference Approach with Observational Data.

In this study, we analyzed the effectiveness of statin therapy for the primary prevention of cardiovascular disease (CVD) in low- and medium-risk patients. Using observational data, we estimated effectiveness by emulating a hypothetical randomized clinical trial comparing statin initiators with statin non-initiators. Two approaches were used to adjust for potential confounding factors: matching and inverse probability weighting in marginal structural models. The estimates of effectiveness were obtained by intention-to-treat and per-protocol analysis. The intention-to-treat analysis revealed an absolute risk reduction of 7.2 (95% confidence interval (CI95%), -6.6-21.0) events per 1000 subjects treated for 5 years in the matched design, and 2.2 (CI95%, -3.9-8.2) in the marginal structural model. The per-protocol analysis revealed an absolute risk reduction of 16.7 (CI95%, -3.0-36) events per 1000 subjects treated for 5 years in the matched design and 5.8 (CI95%, 0.3-11.4) in the marginal structural model. The indication for statin treatment for primary prevention in individuals with low and medium cardiovascular risk appears to be inefficient, but improves with better adherence and in subjectvs with higher risk.

Analysis of first-line treatment in older patients with metastasic colorectal cancer.

OBJECTIVE: The purpose of this study was to analyse the effectiveness and safety of first-line treatment of metastatic colorectal cancer (CRCm) in older patients treated in a tertiary hospital. MATERIAL AND METHODS: This was an observational and retrospective study, including patients aged 75 years or older, with CRCm, who received chemotherapy treatment in 2017. The main variables studied were type of treatment, Progression-Free Survival (PFS), Overall Survival (OS), dose reductions, and treatment delays due to adverse events. RESULTS: A total of 59 patients (71.2% men) with a median age of 76 years were enrolled in this study. About 70% presented colon cancer, with the left colon being the most frequent location. They were treated with 9 different schemes, in most cases using polychemotherapy and biological agents. The median PFS and OS was 12 and 30 months, respectively. A total of 23/59 of patients started treatment at doses lower than recommended in the clinical practice guidelines. In terms of safety, 34/59 of patients had at least one dose reduction, and 30/59 suffered one treatment delay. The most frequent adverse reactions were asthenia, peripheral neuropathy, diarrhoea, and palmoplantar erythrodysesthesia. CONCLUSION: Our patients presented baseline clinical characteristics similar to the general adult population, with no tumour characteristics associated with advanced age. The efficacy and toxicity were similar to those in the clinical trials, although our patients had more dose reductions. Considering the heterogeneity of patients and in the absence of clinical trials in the older population, real-life studies can be very useful.

COVID-19 Inequalities: Individual and Area Socioeconomic Factors (Aragón, Spain).

It is essential to understand the impact of social inequalities on the risk of COVID-19 infection in order to mitigate the social consequences of the pandemic. With this aim, the objective of our study was to analyze the effect of socioeconomic inequalities, both at the individual and area of residence levels, on the probability of COVID-19 confirmed infection, and its variations across three pandemic waves. We conducted a retrospective cohort study and included data from all individuals tested for COVID-19 during the three waves of the pandemic, from March to December 2020 (357,989 individuals) in Aragón (Spain). We studied the effect of inequalities on the risk of having a COVID-19 confirmed diagnosis after being tested using multilevel analyses with two levels of aggregation: individuals and basic healthcare area of residence (deprivation level and type of zone). Inequalities in the risk of COVID-19 confirmed infection were observed at both the individual and area level. There was a predominance of low-paid employees living in deprived areas. Workers with low salaries, unemployed and people on minimum integration income or who no longer receive the unemployment allowance, had a higher probability of COVID-19 infection than workers with salaries ≥ €18,000 per year. Inequalities were greater in women and in the second wave. The deprivation level of areas of residence influenced the risk of COVID-19 infection, especially in the second wave. It is necessary to develop individual and area coordinated measures by areas in the control, diagnosis and treatment of the epidemic, in order to avoid an increase in the already existing inequalities.

Evolution of Cardiovascular Risk Factors in a Worker Cohort: A Cluster Analysis.

The identification of the cardiovascular risk factor (CVRF) profile of individual patients is key to the prevention of cardiovascular disease (CVD), and the development of personalized preventive approaches. Using data from annual medical examinations in a cohort of workers, the aim of the study was to characterize the evolution of CVRFs and the CVD risk score (SCORE) over three time points between 2009 and 2017. For descriptive analyses, mean, standard deviation, and quartile values were used for quantitative variables, and percentages for categorical ones. Cluster analysis was performed using the Kml3D package in R software. This algorithm, which creates distinct groups based on similarities in the evolution of variables of interest measured at different time points, divided the cohort into 2 clusters. Cluster 1 comprised younger workers with lower mean body mass index, waist circumference, blood glucose values, and SCORE, and higher mean HDL cholesterol values. Cluster 2 had the opposite characteristics. In conclusion, it was found that, over time, subjects in cluster 1 showed a higher improvement in CVRF control and a lower increase in their SCORE, compared with cluster 2. The identification of subjects included in these profiles could facilitate the development of better personalized medical approaches to CVD preventive measures.

Persistence as a Robust Indicator of Medication Adherence-Related Quality and Performance.

Medication adherence is a priority for health systems worldwide and is widely recognised as a key component of quality of care for disease management. Adherence-related indicators were rarely explicitly included in national health policy agendas. One barrier is the lack of standardised adherence terminology and of routine measures of adherence in clinical practice. This paper discusses the possibility of developing adherence-related performance indicators highlighting the value of measuring persistence as a robust indicator of quality of care. To standardise adherence and persistence-related terminology allowing for benchmarking of adherence strategies, the European Ascertaining Barriers for Compliance (ABC) project proposed a Taxonomy of Adherence in 2012 consisting of three components: initiation, implementation, discontinuation. Persistence, which immediately precedes discontinuation, is a key element of taxonomy, which could capture adherence chronology allowing the examination of patterns of medication-taking behaviour. Advances in eHealth and Information Communication Technology (ICT) could play a major role in providing necessary structures to develop persistence indicators. We propose measuring persistence as an informative and pragmatic measure of medication-taking behaviour. Our view is to develop quality and performance indicators of persistence, which requires investing in ICT solutions enabling healthcare providers to review complete information on patients' medication-taking patterns, as well as clinical and health outcomes.

Pharmacological Primary Cardiovascular Prevention and Subclinical Atherosclerosis in Men: Evidence from the Aragon Workers' Health Study.

The objective of this study is to describe the profile of primary preventive treatment for cardiovascular disease in adult males and to analyze the association between treatment profile and subclinical atherosclerosis. We selected male workers who had undergone ultrasound imaging and had no previous history of cardiovascular disease (n = 2138). Data on the consumption of primary cardiovascular drugs from the previous year were obtained. We performed bivariate analyses to compare patient characteristics according to cardiovascular treatment and the presence of subclinical atherosclerosis, and logistic regression models to explore the association between these two variables. Among participants with no personal history of cardiovascular disease, subclinical atherosclerosis was present in 77.7% and 31.2% had received some form of preventive treatment. Of those who received no preventive treatment, 73.6% had subclinical atherosclerosis. Cardiovascular preventive treatment was associated only with CACS > 0 (odds ratio (OR), 1.37; 95% confidence interval (95% CI), 1.06-1.78). Statin treatment was associated with a greater risk of any type of subclinical atherosclerosis (OR, 1.73) and with CACS > 0 (OR, 1.72). Subclinical atherosclerosis existed in almost 75% of men who had no personal history of cardiovascular disease and had not received preventive treatment for cardiovascular disease.

Identifying Clusters of Adherence to Cardiovascular Risk Reduction Behaviors and Persistence with Medication in New Lipid-Lowering Drug Users. Impact on Healthcare Utilization.

We sought to identify specific profiles of new lipid-lowering drug users based on adherence to a healthy lifestyle and persistence with medication, and to characterize co-morbidities, co-treatments, and healthcare utilization for each of the profiles identified. Observational study in 517 participants in the Aragon Workers' Health Study (AWHS) without previous cardiovascular disease (CVD) and who initiated lipid-lowering therapy. Data were collected from workplace medical examinations and administrative health databases (2010-2018). Using cluster analysis, we identified distinct patient profiles based on persistence with therapy and lifestyle. We then compared characteristics, morbidity, and healthcare utilization across clusters. Participants were aggregated into four clusters based on persistence with therapy, smoking status, adherence to Mediterranean diet, and physical activity. In cluster 1 (n = 113), comprising those with a healthiest lifestyle (14.2% smokers, 84.0% with medium-high adherence to Mediterranean diet, high physical activity), 16.8% were persistent. In cluster 3 (n = 108), comprising patients with the least healthy lifestyle (100% smokers, poor adherence to the Mediterranean diet, low level of physical activity), all were non-persistent. Clusters 2 (n = 150) and 4 (n = 146) both comprised patients with intermediate lifestyle behaviors, but differed in terms of persistence (100 and 0%, respectively). Compared with other clusters, the burden of morbidity, cardiovascular score, and healthcare utilization were lower in cluster 1. The healthy adherer effect was only observed in new lipid-lowering drug users of certain profiles. Furthermore, we found that differences in adherence to lifestyle and medication recommendations for CVD prevention influenced morbidity burden and healthcare utilization.

[Effect of physical exercise and diet based interventions on the evolution of cognitive impairment to dementia in subjects older than 45 years. A systematic review.] / Efecto de intervenciones basadas en ejercicio físico y dieta sobre la evolución de deterioro cognitivo leve a demencia en sujetos mayores de 45 años. Revisión sistemática.

BACKGROUND: Dementia is a global public health problem. Drugs for this indication have shown limited benefit. The aim of the present study is to synthesize and analyze the available scientific evidence about effectiveness of interventions on diet and / or physical exercise by considering cognitive function as an outcome measure, in people over 45 years of age with mild cognitive impairment (MCI) in their evolution to Alzheimer's disease. METHODS: A bibliographic search of randomized clinical trials, systematic reviews, and meta-analyzes published from May 2008 to May 2019 was carried out in the Medline and The Cochrane Library databases. A total of 169 publications were identified, of which 42 studies that fulfilled inclusion criteria were reviewed. RESULTS: It was found that scheduled physical exercise of moderate-high intensity, performed 3 to 5 days a week, following a dietary pattern such as Mediterranean diet or DASH diet improve overall cognitive function in subjects with MCI. The results are enhanced when the studies combine both interventions and include cognitive stimulation exercises, allowing increasing the functionality of the subjects. CONCLUSIONS: Intervention on modifiable factors such as physical exercise and diet provides cognitive protection in subjects with MCI, improving their quality of life, functionality and independence. The heterogeneity of the studies makes it difficult to draw up more concrete recommendations.

OBJETIVO: La demencia es un problema de salud pública global. Actualmente, los fármacos han mostrado un beneficio limitado. El objetivo de este trabajo es analizar y sintetizar los estudios que evalúen la efectividad de una intervención sobre el ejercicio físico y/o la dieta considerando la función cognitiva como medida de resultado, en sujetos mayores de 45 años con deterioro cognitivo leve (DCL) y sin diagnóstico de enfermedad de Alzheimer. METODOS: Se realizó una búsqueda bibliográfica de ensayos clínicos aleatorizados, revisiones sistemáticas y meta-análisis publicados desde mayo de 2008 hasta mayo de 2019 en las bases de datos Medline y The Cochrane Library. Se identificaron un total de 169 publicaciones, de las cuales se revisaron 42 estudios que cumplieron con los criterios de inclusión propuestos. RESULTADOS: Se encontró que el ejercicio físico programado, realizado entre 3 y 5 días a la semana, de una intensidad moderada-alta y el consumo de alimentos de acuerdo a un patrón como la dieta mediterránea o la dieta DASH mejora la función cognitiva global en sujetos con DCL. Los resultados se potencian cuando los estudios combinan ambas intervenciones e incluyen ejercicios de estimulación cognitiva, permitiendo aumentar la funcionalidad de los sujetos. CONCLUSIONES: La intervención sobre factores modificables como el ejercicio físico y la dieta aporta una protección cognitiva en sujetos con DCL mejorando su calidad de vida, funcionalidad e independencia. La heterogeneidad de los estudios dificulta la extracción de recomendaciones concretas.

Potentially inappropriate prescriptions and therapeutic complexity in older HIV patients with comorbidities.

BACKGROUND: The prolonged current survival of human immunodeficiency virus (HIV) patients exposes them to new problems arising from the comorbidities they face. OBJECTIVES: To describe the situation of comorbidities, polypharmacy, therapeutic complexity and adherence in people living with HIV over 65 years of age and to assess the presence of potentially inappropriate prescriptions (PIP) by applying deprescription criteria. METHODS: Observational study including HIV people (> 65 years) from a university tertiary level hospital. Demographic, clinical and pharmacotherapeutic characteristics of the patients and their treatments were studied. The prevalence of polypharmacy (> 5 medications) and the pharmacotherapy complexity, quantified by the Medication Regimen Complexity Index (MRCI), were calculated. Therapeutic adherence was assessed by the Simplified Medication Adherence Questionnaire (SMAQ) and the medication possession ratio, according to prescription dispensing records. The Screening Tool of Older People's Prescriptions (STOPP) and List of Evidence-baSed depreScribing for CHRONic patients (LESS-CHRON) criteria were applied to identify PIP. MAIN OUTCOME MEASURE: PIP in elderly people living with HIV. RESULTS: Thirty patients were included, 73% of whom were men, with a median age of 71 years (IQR 67 - 76) and a median duration of infection of 17 years (IQR, 9 - 21). Seventy percent of the patients suffered from dyslipemia, 66.7% from hypertension, 43.3% from diabetes and 26.7% from mental health disorders. Seventy percent of the patients took more than 5 medications and 30% more than 10. The MRCI of concomitant medications was higher (18.3 points) than the MRCI of antiretroviral therapy (5.1 points), 66.7% of the studied population was classified as adherent. Finally, 70% of the patients present some PIP according to the STOPP or LESS-CHRON criteria. The polypharmacy was significantly associated (p = 0.008) with meeting deprescription criteria. CONCLUSION: The elderly people living with HIV present numerous comorbidities and met the criteria for polypharmacy. Their pharmacotherapy complexity is mainly determined by the concomitant treatments. There is a high prevalence of meeting deprescription criteria in people living with HIV over the age of 65 and a clear relationship between polypharmacy and deprescription. The optimization of pharmacotherapy is necessary in this population.

Effect of patient and treatment factors on persistence with antihypertensive treatment: A population-based study.

PURPOSE: To analyze patterns of antihypertensive drug use among new users in a Southern European population, and identify patient- and treatment-related factors that influence persistence. METHODS: This is a retrospective observational study of new antihypertensive drug users aged ≥40 years in Aragón, Spain. Information on antihypertensive drugs (2014-2016) prescribed and dispensed at pharmacies via the public health system were collected from a regional electronic population-based pharmacy database. Persistence was assessed using the gap method. Kaplan-Meier and Cox regression analyses were conducted to analyze patterns of use and factors that influence persistence. RESULTS: The 25,582 new antihypertensive drug users in Aragón during the study period were prescribed antihypertensive drugs in monotherapy (73.3%), fixed combination (13.9%), free combination (9.1%), or other (3.7%). One in five received antihypertensive drugs within 15 days of the prescription date, but not after. During the first year of follow-up, 38.6% of the study population remained persistent. The likelihood of treatment discontinuation was higher for participants who were male, aged ≥80 years, and received an antihypertensive drug in monotherapy compared with fixed combination. CONCLUSION: Overall persistence with antihypertensive therapy was poor, and was influenced by the sex, age and type of therapy. Fixed combinations appear to be a good choice for initial therapy, especially in patients with a higher risk of discontinuation. Nonetheless, adverse drug effects and the patient's preferences and clinical profile should be taken into account.

Factors Associated with the Prescribing of High-Intensity Statins.

In this study, we investigated the relationship between sociodemographic, clinical, anthropometric, and lifestyle characteristics and the type of statin prescribed for primary prevention of cardiovascular disease (CVD). We conducted an observational study in workers who began statin treatment. Statin therapy was categorized as "high-intensity" or "low-moderate-intensity". Workers were classified according to the alignment of their statin therapy with the recommended management practices. Logistic regression models were used to evaluate the association between the different variables studied and the probability of being prescribed high-intensity statins. The only variables associated with a higher probability of being treated with high-intensity statins were increased physical activity (>40 versus <20 METs (metabolic equivalent of task) h/wk; odds ratio (OR), 1.65; 95%CI, 1.08-2.50) and, in diabetics, higher low-density lipoprotein cholesterol (LDL-C) levels (≥155 mg/dL versus <155 mg/dL; OR, 4.96; 95%CI, 1.29-19.10). The model that best predicted treatment intensity included LDL-C, diabetes, hypertension, smoking, and age (area under the Receiver Operating Characteristic curve (AUC), 0.620; 95%CI, 0.574-0.666). The prescribing and type of statin used in primary CVD prevention did not correspond with the indications in current guidelines. The probability of receiving high-intensity statins was higher in diabetics with high LDL-C levels and in more physically active individuals. These findings underscore the great variability and uncertainty in the prescribing of statins.

New Male Users of Lipid-Lowering Drugs for Primary Prevention of Cardiovascular Disease: The Impact of Treatment Persistence on Morbimortality. A Longitudinal Study.

The objective of this study was to analyse persistence to lipid-lowering drug use for primary prevention of cardiovascular disease (CVD) in a new users cohort, to explore all-cause and cardiovascular related morbidity, comorbidity and mortality in this group and, finally, to study the relationship between persistence and morbimortality. We selected subjects who started lipid-lowering treatment for primary prevention of CVD between 1 January 2010 and 31 December 2017 (N = 1424), and classified them as treatment-persistent or -nonpersistent. Bivariate analyses were performed to compare sociodemographic and clinical variables, morbimortality and time to event between groups. The association between morbidities was explored using comorbidity network analysis. The effect of persistence was analysed using logistic regression and Cox survival analyses. Only 38.7% of users were persistent with treatment. Persistent and nonpersistent users had similar sociodemographic and clinical profiles, although differed in age, smoking status, and glycemia. Comorbidity networks revealed that the number of co-occurring diagnoses was higher in nonpersistent than persistent users. Adjusted analyses indicated a protective effect of treatment persistence, especially against major adverse cardiovascular events (MACE), but this effect was not statistically significant. Observational studies are crucial to characterize real-world effectiveness.