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Background: End-stage renal disease is associated with a high risk of cardiovascular events. It is unknown, however, whether mild-to-moderate kidney dysfunction is causally related to coronary heart disease (CHD) and stroke. Methods: Observational analyses were conducted using individual-level data from 4 population data sources (Emerging Risk Factors Collaboration, EPIC-CVD [European Prospective Investigation into Cancer and Nutrition–Cardiovascular Disease Study], Million Veteran Program, and UK Biobank), comprising 648 135 participants with no history of cardiovascular disease or diabetes at baseline, yielding 42 858 and 15 693 incident CHD and stroke events, respectively, during 6.8 million person-years of follow-up. Using a genetic risk score of 218 variants for estimated glomerular filtration rate (eGFR), we conducted Mendelian randomization analyses involving 413 718 participants (25 917 CHD and 8622 strokes) in EPIC-CVD, Million Veteran Program, and UK Biobank. Results: There were U-shaped observational associations of creatinine-based eGFR with CHD and stroke, with higher risk in participants with eGFR values 105 mL·min –1 ·1.73 m –2 , compared with those with eGFR between 60 and 105 mL·min –1 ·1.73 m –2 . Mendelian randomization analyses for CHD showed an association among participants with eGFR –1 ·1.73 m –2 , with a 14% (95% CI, 3%–27%) higher CHD risk per 5 mL·min –1 ·1.73 m –2 lower genetically predicted eGFR, but not for those with eGFR >105 mL·min –1 ·1.73 m –2 . Results were not materially different after adjustment for factors associated with the eGFR genetic risk score, such as lipoprotein(a), triglycerides, hemoglobin A1c, and blood pressure. Mendelian randomization results for stroke were nonsignificant but broadly similar to those for CHD. Conclusions: In people without manifest cardiovascular disease or diabetes, mild-to-moderate kidney dysfunction is causally related to risk of CHD, highlighting the potential value of preventive approaches that preserve and modulate kidney function.

Background Immune checkpoint inhibitor-based combination therapy (ICI-based combination) is a new standard of care for metastatic clear cell renal cell carcinoma (mRCC) in the frontline setting. Patients with poor performance status (PS) (≥2) were excluded from pivotal trials. Hence, the activity and safety of ICI-based combination therapy in this group of patients is still unknown. Methods We performed a multicentre retrospective study of PS ≥2 mRCC patients who received frontline ICI-based combination, either nivolumab-ipilimumab (NI) or pembrolizumab-axitinib (AP). Patients' characteristics, clinical outcomes, and toxicity were collected. We analysed overall response rate (ORR), median progression-free survival (mPFS), median overall survival (mOS) and grade ≥3 adverse events (G ≥ 3AEs). The association between the predictive biomarker IPI (immune prognostic index) and ORR/PFS/OS was also evaluated. Results We identified 70 mRCC patients with PS ≥2 treated with ICI-based combination across 14 institutions between October 2017 and December 2021, including 45 and 25 patients were treated with NI and AP, respectively. Median age at diagnosis was 63 years, 51 (73%) were male, only 17 (24%) had prior nephrectomy, 50 (71%) had synchronous metastatic disease at diagnosis, and 16 (23%) had brain metastases. Sixty-one (87%) and 9 (13%) patients had ECOG (Eastern Cooperative Oncology Group) PS 2 and 3, respectively, and 25 (36%) and 45 (64%) patients were intermediate and poor International Metastatic RCC Database Consortium (IMDC) risk, respectively. Among all, 91% were clear cell RCC, 7 patients had sarcomatoid features. At the time of the analysis (median follow-up 11.1 months), 41% patients were dead. Median PFS and mOS in the entire cohort were 5.4 months and 16.0 months, respectively; ORR was 31%. No significant differences in ORR, PFS, OS, or G ≥3AEs were seen between NI and AP. The intermediate and poor IPI groups were significantly associated with reduced ORR and shorter PFS. Conclusion We report the first cohort of PS ≥2 mRCC patients treated with frontline ICI-based combination therapy. The survival outcomes in our cohort were inferior to that reported in pivotal trials. No significant differences in ORR, PFS, OS or toxicity were seen between NI and AP. Prospective real-world studies are needed to confirm these results. pre-print 728 KB

Objective:To determine the association between ultra-processed food (UPF) intake and all-cause mortality in a representative sample of Spanish population.Design:Prospective cohort design in which follow-up lasted from baseline (1991) to mortality date or 31 December 2017, whichever was first. Dietary information was collected using a validated frequency questionnaire and categorised following the NOVA classification according to the extent of food processing. The association between consumption of UPF and mortality was analysed using Cox models. Isoenergetic substitution models were constructed to compare the health effects of the NOVA groups.Setting:Cohort from the Diet and Risk of Cardiovascular Diseases (CVD) in Spain (DRECE) study, representative of the Spanish populationParticipants:Totally, 4679 subjects between 5 and 59 years old.Results:Average consumption of UPF was 370·8 g/d (24·4 % of energy intake). After a median follow-up of 27 years, 450 deaths occurred. Those who consumed the highest amount of UPF had higher risk of mortality. For every 10 % of the energy intake from UPF consumption, an increase of 15 % in the hazard of all-cause mortality was observed (HR 1·15; (95 % CI 1·03, 1·27); P-value = 0·012). Substitution of UPF with minimally processed foods was significantly associated with a decreased risk of mortality.Conclusions:An increase in UPF consumption was associated with higher risk of all-cause mortality in a representative sample of the Spanish population. Moreover, the theoretical substitution of UPF with unprocessed or minimally processed foods leads to a decrease in mortality. These results support the need to promote diets based on unprocessed or minimally processed foods.

To investigate whether physical activity (PA) is a protective factor for the incidence of Parkinson’s disease (PD) and parkinsonism after three years of follow-up. All participants of this study were obtained from the Neurological Disorders in Central Spain (NEDICES), a prospective population-based cohort survey of older subjects (≥65 years) that comprised 5278 census-based participants at baseline (1994–1995). A modified version of Rosow-Breslau questionnaire was applied to categorize PA into active versus sedentary group. The final diagnosis of PD and parkinsonism was made by an expert neurologist. Cox regression models (CRM) adjusted for several covariates (sex, age, education, alcohol consumption, tobacco, stroke, hypertension and body mass index) were used to calculate the association between PA (active group vs. sedentary) and risk of PD and parkinsonism after three years. 22 incident PD and 25 incident parkinsonism cases were identified among 2943 participants with available PA information (57.1% female; mean age = 73.28 ± 6.24 years) after three years of follow-up. The CRM showed that the active group (vs. sedentary) showed a lower risk of parkinsonism (Hazard ratio (HR) = 0.18; 95% CI [0.07–0.51]; p = 0.0001). However, this effect was restricted to men (HR = 0.34; 95% CI [0.11–0.99], p

Front-of-pack labels can improve the ability of consumers to identify which foods are healthier, making them a useful public health tool. Nutri-Score is a front-of-pack labelling system adopted by several European countries. This system ranks foods according to their nutritional quality, but does not consider other dimensions such as the degree of food processing. The aim of this study is to compare the nutritional quality (as assessed by Nutri-Score) and the ultra-processing (as assessed by the NOVA classification) of foods in the Open Food Facts database. A simple correspondence analysis was carried out to study the relationship between the two systems. Ultra-processed foods (NOVA 4) were found in all Nutri-Score categories, ranging from 26.08% in nutritional category A, 51.48% in category B, 59.09% in category C, 67.39% in category D to up to 83.69% in nutritional category E. Given the negative effect that the consumption of ultra-processed foods has on different aspects of health, front-of-pack labelling with Nutri-Score should at least be accompanied by complementary labelling indicating the level of processing, such as the NOVA classification.