Swiss chard (Beta vulgaris L. var. cicla or flavescens) is a green leafy vegetable whose bioactive compounds have been studied due to its effects on health. We systematically reviewed the nutritional profile and bioactive composition of Swiss chard and reported their concentrations. Four main databases were searched for studies analyzing the chemical composition of Swiss chard. Screening, selection of articles, and data extraction were carried out by two independent reviewers. Twenty-eight articles of 1102 records identified by bibliographic search met our inclusion criteria for final analysis. We found a total of 192 chemical compounds categorized into 23 groups. The cicla variety was the most studied, and nutrients and phytochemicals were reported mainly on leaves. Betalains with 20% of the reported data, fats (16%), flavonoids (11%), non-flavonoid phenolics (11%), terpenes and derivatives (8%), carbohydrates (7%), and minerals (6%) were among the most reported categories. Swiss chard leaves have the highest content of fiber, sodium, magnesium, flavonoids, and vitamin C, while stems are high in potassium. Swiss chard should be considered a source of nutrients and phytochemicals, and further research is needed on identifying and quantifying other bioactive compounds and understanding their impact on health.

Objective: The Turnip (Brassica rapa L. ssp. rapa) is a leaf and root vegetable grown and consumed worldwide. The consumption of Turnip has been associated with beneficial effects on human health due to their phytochemicals that may control a variety of physiological functions, including antioxidant activity, enzyme regulation, and apoptotic control and the cell cycle. The current systematic review of the literature aims to evaluate both the profile and quantity of phytochemicals commonly found in Turnip greens and to provide perspectives for further investigation. Methods: This review was conducted following the PRISMA guidelines. Four bibliographic databases (PubMed, Embase, Web-of-Science and Cochrane Central Register of Controlled Trials) were searched to identify published studies until April 8th, 2020 (date last searched) without data and language restriction. Studies were included if they used samples of Turnip greens (the leaves), and evaluated its phytochemical content. Two reviewers independently evaluated the titles and abstracts according to the selection criteria. For each potentially eligible study, two reviewers assessed the full-texts and independently extracted the data using a predesigned data extraction form. Results: Based on the search strategy 5,077 potentially relevant citations were identified and full texts of 37 studies were evaluated, among which 18 studies were eligible to be included in the current review. The majority of included studies were focused on identification of glucosinolates and isothiocyanates (n = 14, 82%), four studies focused on organic acids, and five studies reported phenolic component profile in Turnip greens. Among included studies nine studies (50%) provided information on phytochemical’s content. We found 129 phytochemicals (19 glucosinolates, 33 glucosinolate-breakdown products, 10 organic acids and 59 polyphenolic compounds) reported in Turnip greens. Flavonoids were mainly present as quercetin, kaempferol and isorhamnetin derivatives; while aliphatic forms were the predominant glucosinolate (gluconapin was the most common across five studies, followed by glucobrassicanapin). In general, the phytochemical content varied among the leaves, tops and Turnip roots. Conclusions: Emerging evidence suggests the Turnip as a substantial source of diverse bioactive compounds. However, detailed investigation on the pure compounds derived from Turnip green, their bioavailability, transport and metabolism after consumption is further needed. Additional studies on their biological activity are crucial to develop dietary recommendations on the effective dosage and dietary recommendation of Turnip greens for nutrition and health.

Plant-based diets are associated with reduced cardiometabolic risk factors (CRFs) and lower risk of metabolic syndrome (MetS), probably via phytochemicals acting synergistically. However, dietary phytochemical content estimation is challenging; therefore, the dietary phytochemical index (DPI) was proposed as a practical way to assess total dietary phytochemical content from phytochemical-rich foods (PRFs). We evaluated the association between DPI with CRFs and MetS and its components. Cross-sectional analysis of 2009-2012 data of Colaus cohort study (Lausanne, Switzerland), including 3879 participants (mean age 57.6 ± 10.4 years, 53.5% women). Dietary intake was assessed via a validated food frequency questionnaire. DPI was calculated as the total energy intake percentage obtained from PRFs consumption and assessed as quartiles. Associations were determined using multivariable linear and logistic regression for CRFs and MetS, respectively. Median DPI value was 25.5 (interquartile range: 17.7-34.6). After multivariable-adjusted analyses, significant inverse associations were observed between the last two highest DPI quartiles and waist circumference (WC), body mass index (BMI), insulin, leptin, and hs-CRP. No significant associations were observed for MetS or its components except for central obesity, as subjects in the highest DPI quartile had lower odds (OR: 0.78; 95% CI: 0.62, 0.97) than those in lowest quartile. A diet high in PRFs assessed via DPI is associated with lower WC, BMI, insulin, leptin, hs-CRP values, and lower odds of central obesity, indicating a potential protective effect of phytochemical intake on these CRFs and highlighting the importance of high PRFs intake in promoting cardiometabolic health.

Dietary phytochemical intake associations with cardiovascular health and mortality remain unknown. We studied the relations between total dietary phytochemical intake and cardiovascular health outcomes in a middle-aged Swiss population. We analyzed data spanning 2009 to 2021 from a prospective cohort study in Lausanne, Switzerland, including 3721 participants (54.8% women, 57.2 ± 10.3 years) without cardiovascular disease (CVD) history. Dietary intake was assessed using a validated self-reported food frequency questionnaire. The Dietary Phytochemical Index (DPI) and the healthy Dietary Phytochemical Index (hDPI) were calculated as the total energy intake percentage obtained from phytochemical-rich food consumption. The Healthy Plant-Based Diet Index (hPBD) was estimated by scoring healthy plant foods positively and less-healthy plant foods negatively. Indices tertiles and cardiometabolic outcome associations were determined using Cox proportional hazard models. Over 30,217 person-years of follow-up, 262 CVD events, and 178 deaths occurred. Unadjusted analyses found 36%, 33%, and 32% lower CVD risk for the highest hDPI, DPI, and hPBD tertiles, respectively. After adjustment, only the second hDPI tertile showed a 30% lower CVD risk (HR 0.70, 95% CI 0.51–0.95; P for trend 0.362). No other associations emerged. In this middle-aged Swiss cohort, no associations between dietary indices reflecting a phytochemical-rich dietary pattern and incident CVD, all-cause, or CVD mortality were observed.

Background: Optimal tracheostomy timing remains controversial due to conflicting evidence across published systematic reviews. To clarify this ambiguity within specific patient populations (critically ill, traumatic brain injury, stroke, trauma, COVID-19, and spinal cord injury), an umbrella review of systematic reviews was conducted comparing early versus late tracheostomy or prolonged intubation. Additionally, potential benefits in clinical outcomes were evaluated across a mixed-etiology cohort of mechanically ventilated patients. Methods: MEDLINE, Embase, Cochrane Library, and Web of Science were searched from inception through July 2024. Systematic reviews evaluating the impact of tracheostomy timing on mechanical ventilation duration, ventilator-associated pneumonia risk, ICU/hospital length of stay, and mortality were included. Two authors independently extracted data using a standardized form. Methodological quality was assessed via AMSTAR 2 and certainty of evidence via GRADE. Random-effects meta-analyses were conducted for each outcome, stratified by study design (RCTs vs. non-RCTs), with subgroup analyses exploring patient subpopulations. Results: Evidence was synthesized from 9 systematic reviews (24 unique RCTs, 54 non-RCTs). In RCTs, moderate certainty evidence suggests that early tracheostomy reduces ventilator-associated pneumonia (OR 0.66, 95% CI 0.46 to 0.94, p = 0.02) and mechanical ventilation duration (MD −3.76 days, 95% CI −6.01 to −1.52, p < 0.001) compared to late tracheostomy or prolonged intubation. Early tracheostomy may reduce ICU length of stay (MD −6.64 days, 95% CI −9.92 to −3.35, p < 0.001, low certainty). The effect of early tracheostomy on hospital length of stay and mortality remains uncertain. Conclusions: Early tracheostomy shows potential to reduce ventilator-associated pneumonia and mechanical ventilation duration in mixed-etiology cohorts. It may also be associated with shorter ICU length of stay, while its effect on mortality and hospital stay remains uncertain. Future research should establish standardized definitions of tracheostomy timing and prioritize high-quality, etiology-specific RCTs in underrepresented cohorts (e.g., traumatic brain injury, stroke, spinal cord injury).