Background and purpose Cognitive decline is a recognized manifestation of long COVID, even among patients who experience mild disease. However, there is no evidence regarding the length of cognitive decline in these patients. This study aimed to assess whether COVID‐19‐related cognitive decline is a permanent deficit or if it improves over time. Methods Cognitive performance was evaluated by means of the Montreal Cognitive Assessment (MoCA) in COVID‐19 survivors and noninfected individuals. All study participants had four cognitive evaluations, two of them before the pandemic and the other two, 6 and 18 months after the initial SARS‐CoV‐2 outbreak infection in the village. Linear mixed effects models for longitudinal data were fitted to assess differences in cognitive performance across COVID‐19 survivors and noninfected individuals. Results The study included 78 participants, 50 with history of mild COVID‐19 and 28 without. There was a significant—likely age‐related—decline in MoCA scores between the two prepandemic tests (β = −1.53, 95% confidence interval [CI] = −2.14 to −0.92, p < 0.001), which did not differ across individuals who later developed COVID‐19 when compared to noninfected individuals. Six months after infection, only COVID‐19 survivors had a significant decline in MoCA scores (β = −1.37, 95% CI = −2.14 to −0.61, p < 0.001), which reversed after 1 additional year of follow‐up (β = 0.66, 95% CI = −0.11 to 1.42, p = 0.092). No differences were noticed among noninfected individuals when both postpandemic MoCA scores were compared. Conclusions Study results suggest that long COVID‐related cognitive decline may spontaneously improve over time.

Background: Information on the body composition of inhabitants of remote communities during the SARS-CoV-2 pandemic is limited. Using a longitudinal population-based study design, we assessed the association between SARS-CoV-2 infection and changes in body composition. Methods: Community-dwelling older adults living in a rural Ecuadorian village received body composition determinations before and 1 year after the pandemic as well as serological tests for detection of SARS-CoV-2 antibodies. The independent association between SARS-CoV-2 infection and abnormalities in body composition at follow-up was assessed by fitting linear mixed models for longitudinal data. Results: Of 327 enrolled individuals, 277 (85%) received baseline and follow-up body composition determinations, and 175 (63%) of them became SARS-CoV-2 seropositive. Overall, diet and physical activity deteriorated during the follow-up. Multivariate random-effects generalized least squares regression models that included the impact of time and seropositivity on follow-up body composition, showed that neither variable contributed to a worsening in body composition. Multivariate logistic regression models disclosed that the serological status at follow-up cannot be predicted by differences in body composition and other baseline covariates. Conclusions: Study results suggest no increased susceptibility to SARS-CoV-2 infection among older adults with abnormal body composition and no significant changes as a result of worse physical activity and dietary habits or seropositivity during the length of the study. Together with a previous study in the same population that showed decrease in hand-grip strength after SARS-CoV-2, results confirm that dynapenia (and not sarcopenia) is associated with SARS-CoV-2 infection in older adults.

Life’s Simple 7 is an initiative of the American Heart Association developed for stratifying risk factors associated with adverse vascular outcomes and premature mortality. While this scale has been widely used, there is limited information on its applicability to individuals living in remote communities where risk factors and lifestyles differ from those found in urban settings. This longitudinal prospective study aimed to assess, according to the Life’s Simple 7 scale, all-cause mortality in community-dwelling middle-age and older adults of Amerindian ancestry living in rural Ecuador. A total of 933 Atahualpa residents aged ≥ 40 years who received baseline interviews and procedures for measurement of cardiovascular health (CVH) metrics were enrolled and followed-up for a median of 8 years (interquartile range: 4–9 years). Using a Poisson regression model (adjusted for age at baseline, gender and the level of education), the predicted incidence rate of mortality was 4.22 per 100 person-years (95% C.I.: 2.48–5.97) for individuals with 0–1 CVH metrics in the ideal range, which decreased to 1.23 (95% C.I.: 0.24–2.21) for those with five ideal metrics. In an adjusted Cox-proportional hazard model that included all the CVH metrics, having three or more metrics in the ideal range significantly reduced the mortality hazard ratio when compared with individuals having 0–2 ideal metrics. Study results emphasize the usefulness of the Life’s Simple 7 scale to estimate mortality risk in Amerindians living in remote communities. Control of CVH metrics should prove cost-effective for reducing premature deaths in underserved populations.

Background Progression of cerebral small vessel disease (cSVD) markers has been studied in different races/ethnic groups. However, information from individuals of Amerindian ancestry is lacking. We sought to evaluate progression patterns of cSVD markers in community-dwelling older adults of Amerindian ancestry. Methods Following a longitudinal prospective study design, participants of the Atahualpa Project Cohort aged ≥ 60 years received a baseline brain MRI and clinical interviews. Those who also received a brain MRI at the end of the study were included. Poisson regression models were fitted to assess cSVD markers progression according to their baseline load after a median follow-up of 6.5 ± 1.4 years. Logistic regression models were fitted to assess interrelations in the progression of the different cSVD markers at the end of the study. Results The study included 263 individuals (mean age: 65.7 ± 6.2 years). Progression of white matter hyperintensities (WMH) was noticed in 103 (39%) subjects, cerebral microbleeds in 25 (12%), lacunes in 12 (5%), and enlarged basal ganglia-perivascular spaces (BG-PVS) in 56 (21%). Bivariate Poisson regression models showed significant associations between WMH severity at baseline and progression of WMH and enlarged BG-PVS. These associations became non-significant in multivariate models adjusted for clinical covariates. Logistic regression models showed interrelated progressions of WMH, cerebral microbleeds and enlarged BG-PVS. The progression of lacunes was independent. Conclusions Patterns of cSVD marker progression in this population of Amerindians are different than those reported in other races/ethnic groups. The independent progression of lacunes suggests different pathogenic mechanisms with other cSVD markers.

Introduction Cerebral small vessel disease (SVD) predicts all-cause mortality in Eastern Asian and Caucasian populations. However, little is known about SVD impact in individuals of different races/ethnic groups. In this study, we sought to estimate the mortality risk according to the total SVD (tSVD) score in older adults of Amerindian ancestry. Methods Participants aged ≥60 years from the prospective population-based Atahualpa Project cohort underwent brain MRI between June 2012 and June 2017. The tSVD score was calculated based on the presence of moderate-to-severe white matter hyperintensities, enlarged perivascular spaces, one or more lacune, and one or more cerebral microbleed. We ascertained all-cause mortality during post-MRI follow-up. Poisson regression and Cox-proportional hazards models adjusted for demographics and cardiovascular risk were obtained to estimate mortality risk according to the tSVD score. Results Analysis included 375 participants with available brain MRI and clinical data (mean age 69.0 ± 8.3 years, 56.3% women). The tSVD score was 0 point in 216 individuals (57.6%), 1 point in 71 (18.9%), 2 points in 53 (14.1%), and 3–4 points in 35 (9.3%). Increasing tSVD score was associated with advancing age, hypertension, low level of education, and physical inactivity. Using tSVD score of 0 as reference, a multivariate Poisson regression model showed an increased mortality for individuals with a tSVD score 3–4 points (IRR: 2.27; 95% CI: 1.20–4.28). Likewise, in the Cox-proportional model adjusted for demographics and cardiovascular risk, participants with a tSVD score 3–4 maintained a greater than two-fold mortality risk when compared to those with tSVD score of 0 points (HR: 2.32; 95% CI: 1.23–4.39). Conclusions High-burden SVD as determined by the tSVD score predicts mortality in community-dwelling older adults of Amerindian ancestry. Incidental diagnosis of covert SVD should prompt aggressive control of cardiovascular health.