Kohonneen verenpaineen hoidonohjausjärjestelmä

Kohonnut verenpaine on monille sairauksille ja jopa äkkikuolemalle altistava riskitekijä, jonka hoito on tärkeää. Kohonneen verenpaineen tehokas hoito on nykytiedon valossa mahdollista, mutta silti Terveys 2011 -tutkimuksen mukaan kohonnutta verenpainetta sairastavista suomalaisista miehistä vain 50 % ja naisista vain 56 % on hoitotavoitteessa. Tilannetta ei ole kyetty parantamaan pelkästään ohjeita lisäämällä. Tietokoneella toteutettua Käypä hoito -suositukseen perustuvaa verenpainepotilaan hoidossa avustavaa päätöksenteon tukijärjestelmää voitaisiin käyttää toisaalta potilashoidon yhtenäistämisessä ja toisaalta yksilöllisesti räätälöidyn optimaalisen hoidon tarjoamiseksi potilaille. Tässä opinnäytetyössä esitellään kohonnut verenpaine merkittävänä terveitä elin- vuosia uhkaavana riskitekijänä ja sen hoitoon käytetyt keskeiset menetelmät. Veren- painepotilaan hoito perustuu elintapaohjaukseen ja lääkehoitoon, jossa käytetään useaan eri vaikutusmekanismiin perustuvaa verenpainelääkkeiden yhdistelmähoitoa. Suolan käytön vähentäminen, liikunnan lisääminen, tupakoinnin lopettaminen ja ylipainon laskeminen ovat tehokkaita tapoja laskea verenpainetta ja niitä tulisikin siksi käyttää. Pieniannoksinen yhdistelmähoito puolestaan tarjoaa potilaalle hyvää lääketehoa vähäisin haittavaikutuksin. Hoidonohjausjärjestelmä on potilashoidossa alikäytetty tietotekninen apuväline, jo- ka potilaasta tunnettua tietoa käsittelemällä kykenee tarjoamaan terveydenhuollon ammattilaiselle yksilöllisen suosituksen potilaan hoidosta. Suomessa kohonneen veren- paineen hoito pohjautuu Käypä hoito -suosituksiin ja kansainvälisissä sovelluksissa on käytettävissä vastaavia alueellisia hoitosuosituksia. Opinnäytetyö kuvailee Turun yli- opiston ja Terveyden ja hyvinvoinnin laitoksen yhteistyössä toteuttaman Kohonneen verenpaineen hoidonohjausjärjestelmän suunnittelun ja toteutuksen. Työssä kuvailtu- ja ideoita ja menetelmiä käyttäen on mahdollista laajentaa hoidonohjausjärjestelmää kohonneesta verenpaineesta myös muiden kansantautien, kuten diabeteksen hoitoon.Siirretty Doriast

Targeting Gut Microbiota to Treat Hypertension: A Systematic Review

While hypertension remains the leading modifiable risk factor for cardiovascular morbidity and mortality, the pathogenesis of essential hypertension remains only partially understood. Recently, microbial dysbiosis has been associated with multiple chronic diseases closely related to hypertension. In addition, multiple small-scale animal and human studies have provided promising results for the association between gut microbial dysbiosis and hypertension. Animal models and a small human pilot study, have demonstrated that high salt intake, a risk factor for both hypertension and cardiovascular disease, depletes certain Lactobacillus species while oral treatment of Lactobacilli prevented salt-sensitive hypertension. To date, four large cohort studies have reported modest associations between gut microbiota features and hypertension. In this systematic literature review, we examine the previously reported links between the gut microbiota and hypertension and what is known about the functional mechanisms behind this association

Predictors and Outcomes of Coronary Artery Bypass Grafting: A Systematic and Untargeted Analysis of More Than 120,000 Individuals and 1,300 Disease Traits

Objective: To perform an untargeted data-driven analysis on the correlates and outcomes of coronary artery bypass grafting (CABG).Design: FinnGen cohort study.Setting: The authors collected information on up to 1,327 disease traits before and after CABG from nationwide healthcare registers.Participants: A mixed population and patient sample of 127,911 individuals including 3,784 CABG patients.Interventions: The authors assessed the association between (1) traits and incident CABG and (2) CABG and incident traits using multivariate-adjusted Cox models.Main results: Patients who underwent CABG and were in the fourth quartile of a risk score based on the top predictors of mortality had 12.2-fold increased risk of dying (95% confidence interval [CI], 10.3-14.5) compared with those in the first quartile. Cardiovascular disease (CVD) and CVD risk factors were most strongly associated with incident CABG. However, CABG was associated with death due to cardiac causes (hazard ratio [HR], 3.7; 95% CI, 3.5-4.0) or other causes (HR, 2.5; 95% CI, 2.4-2.7). CABG also was related to increased risk of several non-CVD traits, including anemia (HR, 3.4; 95% CI, 2.8-4.1), gastrointestinal disorders (HR, 2.2; 95% CI, 1.8-2.6), acute renal failure (HR, 4.2; 95% CI, 3.5-5.1), septicemia (HR, 3.6; 95% CI, 3.1-4.1), lung cancer (HR, 2.3; 95% CI, 1.9-2.8), Alzheimer's disease (HR, 2.5; 95% CI, 2.2-2.7), and chronic obstuctive pulmonary disease (HR, 2.5; 95% CI, 2.2-2.9).Conclusions: Known CVD risk factors associate most strongly with incident CABG. However, CABG is associated with increased risk of several, somewhat unexpected, non-CVD traits. More detailed study of these links is warranted to establish potential causality and pathogenesis.</p

Comprehensive biomarker profiling of hypertension in 36 985 Finnish individuals

Objective: Previous studies on the association between metabolic biomarkers and hypertension have been limited by small sample sizes, low number of studied biomarkers, and cross-sectional study design. In the largest study to date, we assess the cross-sectional and longitudinal associations between high-abundance serum biomarkers and blood pressure (BP). Methods: We studied cross-sectional (N = 36 985; age 50.5 +/- 14.2; 53.1% women) and longitudinal (N = 4197; age 49.4 +/- 11.8, 55.3% women) population samples of Finnish individuals. We included 53 serum biomarkers and other detailed lipoprotein subclass measures in our analyses. We studied the associations between serum biomarkers and BP using both conventional statistical methods and a machine learning algorithm (gradient boosting) while adjusting for clinical risk factors. Results: Fifty-one of 53 serum biomarkers were cross-sectionally related to BP (adjusted P < 0.05 for all). Conventional linear regression modeling demonstrated that LDL cholesterol, remnant cholesterol, apolipoprotein B, and acetate were positively, and HDL particle size was negatively, associated with SBP change over time (adjusted P < 0.05 for all). Adding serum biomarkers (cross-sectional root-mean-square error: 16.27 mmHg; longitudinal: 17.61 mmHg) in the model with clinical measures (cross-sectional: 16.70 mmHg; longitudinal 18.52 mmHg) improved the machine learning model fit. Glucose, albumin, triglycerides in LDL, glycerol, VLDL particle size, and acetoacetate had the highest importance scores in models related to current or future BP. Conclusion: Our results suggest that serum lipids, and particularly LDL-derived and VLDL-derived cholesterol measures, and glucose metabolism abnormalities are associated with hypertension onset. Use of serum metabolite determination could improve identification of individuals at high risk of developing hypertension.Peer reviewe

A plasma metabolite score of three eicosanoids predicts incident type 2 diabetes : a prospective study in three independent cohorts

Introduction Peptide markers of inflammation have been associated with the development of type 2 diabetes. The role of upstream, lipid-derived mediators of inflammation such as eicosanoids, remains less clear. The aim of this study was to examine whether eicosanoids are associated with incident type 2 diabetes. Research design & methods In the FINRISK (Finnish Cardiovascular Risk Study) 2002 study, a population-based sample of Finnish men and women aged 25-74 years, we used directed, non-targeted liquid chromatography-mass spectrometry to identify 545 eicosanoids and related oxylipins in the participants' plasma samples (n=8292). We used multivariable-adjusted Cox regression to examine associations between eicosanoids and incident type 2 diabetes. The significant independent findings were replicated in the Framingham Heart Study (FHS, n=2886) and Dietary, Lifestyle and Genetic determinants of Obesity and Metabolic syndrome (DILGOM) 2007 (n=3905). Together, these three cohorts had 1070 cases of incident type 2 diabetes. Results In the FINRISK 2002 cohort, 76 eicosanoids were associated individually with incident type 2 diabetes. We identified three eicosanoids independently associated with incident type 2 diabetes using stepwise Cox regression with forward selection and a Bonferroni-corrected inclusion threshold. A three-eicosanoid risk score produced an HR of 1.56 (95% CI 1.41 to 1.72) per 1 SD increment for risk of incident diabetes. The HR for comparing the top quartile with the lowest was 2.80 (95% CI 2.53 to 3.07). In the replication analyses, the three-eicosanoid risk score was significant in FHS (HR 1.24 (95% CI 1.10 to 1.39, p Conclusions Plasma eicosanoid profiles predict incident type 2 diabetes and the clearest signals replicate in three independent cohorts. Our findings give new information on the biology underlying type 2 diabetes and suggest opportunities for early identification of people at risk.Peer reviewe

Association Between the Gut Microbiota and Blood Pressure in a Population Cohort of 6953 Individuals

Background:Several small-scale animal studies have suggested that gut microbiota and blood pressure (BP) are linked. However, results from human studies remain scarce and conflicting. We wanted to elucidate the multivariable-adjusted association between gut metagenome and BP in a large, representative, well-phenotyped population sample. We performed a focused analysis to examine the previously reported inverse associations between sodium intake and Lactobacillus abundance and between Lactobacillus abundance and BP.Methods and Results:We studied a population sample of 6953 Finns aged 25 to 74 years (mean age, 49.212.9 years; 54.9% women). The participants underwent a health examination, which included BP measurement, stool collection, and 24-hour urine sampling (N=829). Gut microbiota was analyzed using shallow shotgun metagenome sequencing. In age- and sex-adjusted models, the alpha (within-sample) and beta (between-sample) diversities of taxonomic composition were strongly related to BP indexes (PConclusions:Although the associations between overall gut taxonomic composition and BP are weak, individuals with hypertension demonstrate changes in several genera. We demonstrate strong negative associations of certain Lactobacillus species with sodium intake and BP, highlighting the need for experimental studies.</div

A plasma metabolite score of three eicosanoids predicts incident type 2 diabetes: a prospective study in three independent cohorts

Introduction Peptide markers of inflammation have been associated with the development of type 2 diabetes. The role of upstream, lipid-derived mediators of inflammation such as eicosanoids, remains less clear. The aim of this study was to examine whether eicosanoids are associated with incident type 2 diabetes.Research design & methods In the FINRISK (Finnish Cardiovascular Risk Study) 2002 study, a population-based sample of Finnish men and women aged 25-74 years, we used directed, non-targeted liquid chromatography-mass spectrometry to identify 545 eicosanoids and related oxylipins in the participants' plasma samples (n=8292). We used multivariable-adjusted Cox regression to examine associations between eicosanoids and incident type 2 diabetes. The significant independent findings were replicated in the Framingham Heart Study (FHS, n=2886) and Dietary, Lifestyle and Genetic determinants of Obesity and Metabolic syndrome (DILGOM) 2007 (n=3905). Together, these three cohorts had 1070 cases of incident type 2 diabetes.Results In the FINRISK 2002 cohort, 76 eicosanoids were associated individually with incident type 2 diabetes. We identified three eicosanoids independently associated with incident type 2 diabetes using stepwise Cox regression with forward selection and a Bonferroni-corrected inclusion threshold. A three-eicosanoid risk score produced an HR of 1.56 (95% CI 1.41 to 1.72) per 1 SD increment for risk of incident diabetes. The HR for comparing the top quartile with the lowest was 2.80 (95% CI 2.53 to 3.07). In the replication analyses, the three-eicosanoid risk score was significant in FHS (HR 1.24 (95% CI 1.10 to 1.39, pConclusions Plasma eicosanoid profiles predict incident type 2 diabetes and the clearest signals replicate in three independent cohorts. Our findings give new information on the biology underlying type 2 diabetes and suggest opportunities for early identification of people at risk.</p

Associations of healthy food choices with gut microbiota profiles

Diet has a major influence on the human gut microbiota, which has been linked to health and disease. However, epidemiological studies on associations of a healthy diet with the microbiota utilizing a whole-diet approach are still scant.ObjectivesTo assess associations between healthy food choices and human gut microbiota composition, and to determine the strength of association with functional potential.MethodsThis population-based study sample consisted of 4930 participants (ages 25–74; 53% women) in the FINRISK 2002 study. Intakes of recommended foods were assessed using a food propensity questionnaire, and responses were transformed into healthy food choices (HFC) scores. Microbial diversity (alpha diversity) and compositional differences (beta diversity) and their associations with the HFC score and its components were assessed using linear regression. Multiple permutational multivariate ANOVAs were run from whole-metagenome shallow shotgun–sequenced samples. Associations between specific taxa and HFC were analyzed using linear regression. Functional associations were derived from Kyoto Encyclopedia of Genes and Genomes orthologies with linear regression models.ResultsBoth microbial alpha diversity (β/SD, 0.044; SE, 6.18 × 10−5; P = 2.21 × 10−3) and beta diversity (R2, 0.12; P ≤ 1.00 × 10−3) were associated with the HFC score. For alpha diversity, the strongest associations were observed for fiber-rich breads, poultry, fruits, and low-fat cheeses (all positive). For beta diversity, the most prominent associations were observed for vegetables, followed by berries and fruits. Genera with fiber-degrading and SCFA-producing capacities were positively associated with the HFC score. The HFC score was associated positively with functions such as SCFA metabolism and synthesis, and inversely with functions such as fatty acid biosynthesis and the sulfur relay system.ConclusionsOur results from a large, population-based survey confirm and extend findings of other, smaller-scale studies that plant- and fiber-rich dietary choices are associated with a more diverse and compositionally distinct microbiota, and with a greater potential to produce SCFAs.</p