[Polypharmacy in Mexico: a challengefor prescription quality]

OBJECTIVE

To analyze the prevalence of polypharmacy, as well as the factors that identify the groups with higher risk, in population study in Mexico.

MATERIALS AND METHODS

Descriptive analysis of the Encuesta Nacional de Salud y Nutrición 2018-19 (Ensanut 2018-19), Utilization of services (medicine section) and Household questionnaires, to obtain prevalence of polypharmacy (simultaneous consumption ≥5 medicines). A logistic regression model was used to estimate the association of polypharmacy with sociodemographic and health care factors.

RESULTS

Prevalence of polypharmacy: 18 years, 15.5%, and 65 years, 26.5%. Higher prevalence in: nephropathies (61.5%), heart disease (42.2%), chronic ob-structive pulmonary disease (38.5%), diabetes (29.3%) and hypertension (26.4%). Increased possibility in adults 65 years (OR:1.95), low schooling (OR:1.54), social security (OR:1.64), serviced in public services (OR:1.7) and chronic illness (OR:1.84).

CONCLUSIONS

Polypharmacy is associated with chronic disease and some sociodemographic factors. Large area of opportunity to improve quality of care, particularly pharmacological prescription to identified population with higher risk.

COVID‑19 in Northern Italy: An integrative overview of factors possibly influencing the sharp increase of the outbreak (Review)

Italy is currently one of the countries seriously affected by the COVID‑19 pandemic. As per 10 April 2020, 147,577 people were found positive in a total of 906,864 tests performed and 18,849 people lost their lives. Among all cases, 70.2% of positive, and 79.4% of deaths occurred in the provinces of Northern Italy (Lombardi, Emilia Romagna, Veneto and Piemonte), where the outbreak first started. Originally, it was considered that the high number of positive cases and deaths in Italy resulted from COVID‑19 initially coming to Italy from China, its presumed country of origin. However, an analysis of the factors that played a role in the extent of this outbreak is needed. Evaluating which factors could be specific for a country and which might contribute the most is nevertheless complex, with accompanying high uncertainty. The purpose of this work is to discuss some of the possible contributing factors and their possible role in the relatively high infection and death rates in Northern Italy compared to other areas and countries.

Association between KCNQ2, TCF4 and RGS18 polymorphisms and silent brain infarction based on whole‑exome sequencing

Silent brain infarction (SBI) is a cerebral infarction identified through brain imaging. In particular, studies have shown that the presence of SBI in elderly patients increases their risk of cognitive dysfunction, impairment and dementia. However, little research has been published on the relevance of SBI to these risks for the Korean population. The association between potassium voltage‑gated channel subfamily Q member 2 (KCNQ2), transcription factor 4 (TCF4) and regulator of G‑protein signaling 18 (RGS18) genotypes and SBI were investigated using whole‑exome sequencing and PCR restriction fragment length polymorphism (RFLP) analysis. The study population included 407 patients with SBI (171 males) and 401 control subjects (172 males). Genotyping was performed using PCR RFLP. Interestingly, TCF4 rs9957668T>C polymorphisms were associated with SBI prevalence [TT vs. CC: adjusted odds ratio (AOR), 1.815, 95% confidence intervals (CI), 1.202‑2.740; TT vs. TC+CC: AOR, 1.492, 95% CI, 1.066‑2.088; TT+TC vs. CC: AOR, 1.454, 95% CI, 1.045‑2.203]. The combination of KCNQ2 rs73146513A>G and TCF4 rs9957668T>C genotypes was associated with increasing SBI prevalence (AG/CC: AOR, 3.719, 95% CI, 1.766‑7.833; AA/CC: AOR, 3.201, 95% CI, 1.387‑7.387). The present study showed that TCF4 rs9957668T>C polymorphisms may be risk factors for SBI. Therefore, the TCF4 rs9957668T>C polymorphism may serve as a biomarker for increased risk of SBI in the Korean population.