A consultation-based method is equal to SCORE and an extensive laboratory-based method in predicting risk of future cardiovascular disease

Petersson, Ulla; Östgren, Carl Johan; Brudin, Lars; Nilsson, Peter M.

doi:10.1097/hjr.0b013e32832b1833

Cited by 12 publications

(18 citation statements)

References 22 publications

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“…In YAC128 mice, we observed a tendency for lower plasma levels of insulin; however, the values were not statistically significant. Because the neurotrophic factor IGF-1 has a primordial role on glucose metabolism [19] and plasma IGF-1 may regulate body weight in HD [17], we also determined plasma levels of IGF-1 in both WT and YAC128 mice under a minimum of 12 h fasting. No significant changes in plasma IGF-1 levels were observed in YAC128, in comparison with WT mice.…”

Section: Resultsmentioning

confidence: 99%

Peripheral and cerebral metabolic features in an animal model of Huntington's disease

Lopes

Duarte

Hayden

et al. 2012

2012 IEEE 2nd Portuguese Meeting in Bioengineering (ENBENG)

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Metabolic dysfunction is relatively common in Huntington's disease (HD) patients and in HD transgenic mouse models. The YAC128 mice express full-length mutant huntingtin (mHtt) with 128 glutamines and manifest a phenotype close to HD patients. The objective of our study was to evaluate the effect of an hyperglycemic background on peripheral and central metabolic parameters in YAC128 mice versus wild-type littermates. Both YAC128 and WT mice exhibited elevated fasting and non-fasting plasma glucose levels, but no significant change in body weight or metabolic parameters were found. However, in Insulin Tolerance Test, YAC128 mice showed significantly higher glucose values, compared to WT mice. The HD mice also showed a tendency to impairment in motor coordination and balance. In YAC128 mice, plasma or brain levels of IGF-1 and insulin were not significantly changed, although there was a tendency for a decrease in insulin. Moreover, a reduction in energy charge and higher lactate/pyruvate ratio were detected in HD brain. These data suggest that expression of full-length mHtt in hyperglycemic background may induce both peripheral and central metabolic changes.

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Section: Resultsmentioning

confidence: 99%

Peripheral and cerebral metabolic features in an animal model of Huntington's disease

Lopes

Duarte

Hayden

et al. 2012

2012 IEEE 2nd Portuguese Meeting in Bioengineering (ENBENG)

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“…The PRISMA diagram in Figure 1 describes the flow of the search. The six relevant articles identified focused on five non-laboratory based CV risk assessment algorithms namely: Framingham non-laboratory based algorithm [12], Gaziano non-laboratory based algorithm [9,13], WHO/ISH non-laboratory based algorithms [14], Swedish Consultation-based method [15], and the UK General Practice model [16]. …”

Section: Resultsmentioning

confidence: 99%

“…The population-based approach of the study ensured that all inhabitants aged 40 to 59 years in So¨dera°kra, Southern Sweden were invited to participate in the cardiovascular risk-factor screening project. The sample was balanced according to gender, with 340 women and 349 men participating [15]. However, since the algorithm was derived in a relatively middle aged white population, its applicability to older and racially diverse populations is unknown.…”

Section: Resultsmentioning

confidence: 99%

“…Statistical methods and endpoints The Swedish Consultation based method, the non-laboratory based Framingham and Gaziano algorithms were derived using Cox proportional-hazards regression [9,12,15] while the UK General Practice model was derived using Weibull proportional hazards survival model [16]. The WHO/ISH non-laboratory based algorithms have not specified the statistical methods used to derive their functions.…”

Section: Resultsmentioning

confidence: 99%

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Evaluation of the performance of existing non-laboratory based cardiovascular risk assessment algorithms

Kariuki

Stuart‐Shor

Leveille

et al. 2013

BMC Cardiovasc Disord

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BackgroundThe high burden and rising incidence of cardiovascular disease (CVD) in resource constrained countries necessitates implementation of robust and pragmatic primary and secondary prevention strategies. Many current CVD management guidelines recommend absolute cardiovascular (CV) risk assessment as a clinically sound guide to preventive and treatment strategies. Development of non-laboratory based cardiovascular risk assessment algorithms enable absolute risk assessment in resource constrained countries.The objective of this review is to evaluate the performance of existing non-laboratory based CV risk assessment algorithms using the benchmarks for clinically useful CV risk assessment algorithms outlined by Cooney and colleagues.MethodsA literature search to identify non-laboratory based risk prediction algorithms was performed in MEDLINE, CINAHL, Ovid Premier Nursing Journals Plus, and PubMed databases. The identified algorithms were evaluated using the benchmarks for clinically useful cardiovascular risk assessment algorithms outlined by Cooney and colleagues.ResultsFive non-laboratory based CV risk assessment algorithms were identified. The Gaziano and Framingham algorithms met the criteria for appropriateness of statistical methods used to derive the algorithms and endpoints. The Swedish Consultation, Framingham and Gaziano algorithms demonstrated good discrimination in derivation datasets. Only the Gaziano algorithm was externally validated where it had optimal discrimination. The Gaziano and WHO algorithms had chart formats which made them simple and user friendly for clinical application.ConclusionBoth the Gaziano and Framingham non-laboratory based algorithms met most of the criteria outlined by Cooney and colleagues. External validation of the algorithms in diverse samples is needed to ascertain their performance and applicability to different populations and to enhance clinicians’ confidence in them.

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“…[26][27][28] A recent review concludes that finding the best possible risk estimation model is less important and instead suggests that using risk evaluation daily in clinical practice and following recommended guidelines is of greater importance. 29 The purpose of estimating CVD risk in apparently healthy individuals is both to find those who need intervention but also to make the individual aware of his or her risk.…”

Section: Discussionmentioning

confidence: 99%

An evaluation of the performance of SCORE Sweden 2015 in estimating cardiovascular risk

Karjalainen

Adiels

Björck

et al. 2016

Eur J Prev Cardiolog

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Background Risk prediction models for cardiovascular death are important for providing advice on lifestyle and in decision-making regarding primary preventive drug treatment. The latest Swedish version of the Systematic COronary Risk Evaluation (SCORE 2015) has yet not been tested in the population. Objective The objective of this study was to estimate the prevalence of high and very high risk of fatal cardiovascular disease (CVD) of the current population according to 2015 SCORE Sweden and to evaluate the predictive accuracy of the 2003 Swedish version of SCORE (2003 SCORE Sweden) and 2015 SCORE Sweden in a population with declining CVD mortality. Methods We estimated the high and very high risk group for cardiovascular death for individuals 40–65 years of age in the 2014 Northern Sweden MONICA population survey excluding subjects with known diabetes or previous CVD ( n = 813). Using the 1999 MONICA survey ( n = 3347) followed up for 10 years for CVD mortality, we assessed the calibration of both 2003 and 2015 SCORE Sweden. Results In 2014 2.6% of the population was considered at high or very high risk for fatal CVD, 95% were men and 76% were in the age group 60–65 years. Including subjects with a single markedly elevated risk factor, known diabetes or CVD, 12% of the population was at high or very high risk. During 10 years of follow-up of the 1999 cohort, 34 CVD deaths (24 men and 10 women) occurred. The 2003 SCORE overestimated the risk of death from CVD (ratio predicted/observed 2.3, P < 0.001) whereas the 2015 SCORE slightly overestimated the number of deaths (predicted/observed 1.3, P = 0.12). The 2015 SCORE predicted more accurately than the 2003 SCORE the number of deaths in the different risk and age categories. Conclusion The 2015 SCORE Sweden more adequately than 2003 SCORE Sweden predicts the number of deaths. In 2014, the proportion of high-risk individuals is small in northern Sweden. The main use of 2015 SCORE Sweden would therefore be as an educational tool between the physician and people without diabetes or CVD in a consultation regarding cardiovascular risk.

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A consultation-based method is equal to SCORE and an extensive laboratory-based method in predicting risk of future cardiovascular disease

Abstract: A risk algorithm based on non-laboratory data from a single primary care consultation predicted long-term cardiovascular risk as accurately as either SCORE or an elaborate laboratory-based method in a defined middle-aged population.

Cited by 12 publications

References 22 publications

Peripheral and cerebral metabolic features in an animal model of Huntington's disease

Peripheral and cerebral metabolic features in an animal model of Huntington's disease

Evaluation of the performance of existing non-laboratory based cardiovascular risk assessment algorithms

An evaluation of the performance of SCORE Sweden 2015 in estimating cardiovascular risk

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