Materiały źródłowe

• #1 Metabolic Syndrome – StatPearls – NCBI Bookshelf

  https://www.ncbi.nlm.nih.gov/books/NBK459248/

  The prognosis of patients with metabolic syndrome is determined by the severity of its components and cardiovascular complications. Cardiovascular complications predict poor prognosis in patients with metabolic syndrome, and the risk of cardiovascular complications is proposed to be amplified due to the combination of multiple ASCVD risk factors. […] Patients with metabolic syndrome have more than 2-fold higher risk of cardiovascular events as compared to those without metabolic syndrome, which predicts a poor prognosis. However, recent advances in managing atherosclerotic cardiovascular diseases have improved outcomes significantly.

• #2 Risk models and scores for metabolic syndrome: systematic review protocol – PubMed

  https://pubmed.ncbi.nlm.nih.gov/31562141/

  Metabolic syndrome 'a clustering of risk factors which includes hypertension central obesity, impaired glucose metabolism with insulin resistance and dyslipidaemia’ affects approximately 20%-25% of the global adult population. […] Individuals with metabolic syndrome have two to threefold risk of developing cardiovascular disease and a fivefold risk of developing developing diabetes and death from all causes. […] Therefore, the purpose of this review is to determine the performance of risk models and scores for predicting the metabolic syndrome. […] The risk scores in the final sample of the review will be ranked/prioritised based on previous quality criteria for prognostic risk models. […] Lastly, the impact of the models will be ascertained by tracking citations on Google Scholar.

• #3 The metabolic syndrome predicts cardiovascular prognosis | Nature Reviews Cardiology

  https://www.nature.com/articles/ncpcardio0587

  The metabolic syndrome predicts cardiovascular prognosis. […] A link between the metabolic syndrome and increased risk of cardiovascular disease (CVD) has been shown in several studies, and guidelines now include the syndrome as a risk factor for CVD. […] An article published in the BMJ adds to these data, listing the metabolic syndrome as a prognostic indicator of total and cardiovascular mortality.

• #4 Does a diagnosis of the metabolic syndrome provide additional prediction of cardiovascular disease and total mortality in the elderly? The Dubbo Study | The Medical Journal of Australia

  https://www.mja.com.au/journal/2007/186/8/does-diagnosis-metabolic-syndrome-provide-additional-prediction-cardiovascular

  Objective: To assess whether a diagnosis of the metabolic syndrome (MetS) improves the prediction of cardiovascular disease or total mortality beyond that already provided by conventional risk factors. […] A diagnosis of MetS provides additional prediction of CHD events, stroke events, and total mortality beyond that provided by other conventional risk factors. […] We have clearly demonstrated that a diagnosis of MetS in older people provides prediction of CHD events, stroke events, and total mortality beyond that provided by conventional risk factors. […] The combined relative risks of cardiovascular disease and total mortality were 2.602.99 and 1.271.37, respectively, depending on the definition of MetS. […] A study of middle-aged and older Swedish men found that MetS was a significant predictor of total (HR, 1.36) and cardiovascular (HR, 1.59) mortality in 50-year-old subjects). […] Although some may argue against the utility of MetS as a clinical tool, a diagnosis of MetS does provide additional prediction of CHD events, stroke events, and total mortality beyond that provided by other conventional risk factors, and this may ultimately prove useful in clinical management.

• #5 Does a diagnosis of the metabolic syndrome provide additional prediction of cardiovascular disease and total mortality in the elderly? The Dubbo Study | The Medical Journal of Australia

  https://www.mja.com.au/journal/2007/186/8/does-diagnosis-metabolic-syndrome-provide-additional-prediction-cardiovascular

  Objective: To assess whether a diagnosis of the metabolic syndrome (MetS) improves the prediction of cardiovascular disease or total mortality beyond that already provided by conventional risk factors. […] A diagnosis of MetS provides additional prediction of CHD events, stroke events, and total mortality beyond that provided by other conventional risk factors. […] We have clearly demonstrated that a diagnosis of MetS in older people provides prediction of CHD events, stroke events, and total mortality beyond that provided by conventional risk factors. […] The combined relative risks of cardiovascular disease and total mortality were 2.602.99 and 1.271.37, respectively, depending on the definition of MetS. […] A study of middle-aged and older Swedish men found that MetS was a significant predictor of total (HR, 1.36) and cardiovascular (HR, 1.59) mortality in 50-year-old subjects). […] Although some may argue against the utility of MetS as a clinical tool, a diagnosis of MetS does provide additional prediction of CHD events, stroke events, and total mortality beyond that provided by other conventional risk factors, and this may ultimately prove useful in clinical management.

• #6 The clinical value of metabolic syndrome and risks of cardiometabolic events and mortality in the elderly: the Rotterdam study | Cardiovascular Diabetology | Full Text

  https://cardiab.biomedcentral.com/articles/10.1186/s12933-016-0387-4

  In our large predominantly elderly prospective population-based study, we show there is large variability between and within the definitions of MetS with respect to prevalence- and risk estimates for important cardiovascular and metabolic clinical endpoints. […] In addition, we confirm that MetS does not have an additional value in the risk estimation of type 2 diabetes mellitus, CHD, stroke and mortality on top of its individual components. […] Although earlier studies on middle-aged younger individuals suggested otherwise, we did not find any significant associations of MetS with all-cause mortality after correction for its individual components in any of the definitions. […] Our findings on all-cause mortality are in line with results obtained from patients after coronary artery bypass grafting (CABG) in which survival of MetS patients without diabetes resembled their matched background population.

• #7 Prediction of Metabolic Syndrome in a Mexican Population Applying Machine Learning Algorithms

  https://www.mdpi.com/2073-8994/12/4/581

  Metabolic syndrome is a health condition that increases the risk of heart diseases, diabetes, and stroke. The prognostic variables that identify this syndrome have already been defined by the World Health Organization (WHO), the National Cholesterol Education Program Third Adult Treatment Panel (ATP III) as well as by the International Diabetes Federation. […] The ATP III using Waist-to-Height-Ratio (WHtR) as an anthropometric index for the diagnosis of abdominal obesity achieved better performance in classification than waist or body mass index. Further work is needed to assess its precision as a classification tool for Metabolic Syndrome in a Mexican population. […] The results showed that the main prognostic variables of MetS in our cohort of the Mexico City population according to its importance were: FPG, TGs, WHtR, HDL-C, and BMI, four out of these five variables are among those proposed by the WHO, IDF and ATP III criteria for the classification of people with MetS; however, not taking into consideration its predictability importance.

• #8 Prediction of Metabolic Syndrome in a Mexican Population Applying Machine Learning Algorithms

  https://www.mdpi.com/2073-8994/12/4/581

  Metabolic syndrome is a health condition that increases the risk of heart diseases, diabetes, and stroke. The prognostic variables that identify this syndrome have already been defined by the World Health Organization (WHO), the National Cholesterol Education Program Third Adult Treatment Panel (ATP III) as well as by the International Diabetes Federation. […] The ATP III using Waist-to-Height-Ratio (WHtR) as an anthropometric index for the diagnosis of abdominal obesity achieved better performance in classification than waist or body mass index. Further work is needed to assess its precision as a classification tool for Metabolic Syndrome in a Mexican population. […] The results showed that the main prognostic variables of MetS in our cohort of the Mexico City population according to its importance were: FPG, TGs, WHtR, HDL-C, and BMI, four out of these five variables are among those proposed by the WHO, IDF and ATP III criteria for the classification of people with MetS; however, not taking into consideration its predictability importance.

• #9 Prediction of Metabolic Syndrome in a Mexican Population Applying Machine Learning Algorithms

  https://www.mdpi.com/2073-8994/12/4/581

  The executed experiments showed that the model using the ATP III variables with WHtR instead of WAIST achieved the best performance, whereby could be a useful index for the identification of MetS in a Mexican population, along with the variables already proposed by ATP III. […] In our case, we used Random Forest to rank health parameters evaluating the prediction performance of the algorithm by accuracy (97%), sensitivity (97%) and specificity (93%). Even though the results of Apilak Worachartcheewan et al. are similar to ours, they obtained an accuracy of 98% using Random Forest to determine MetS prevalence.

• #10 The prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone | Cardiovascular Diabetology | Full Text

  https://cardiab.biomedcentral.com/articles/10.1186/s12933-021-01256-z

  The overall prevalence of MetS in the 5,026 participants (64% women; mean age 51.2 years) was 42%. […] WC was the principal risk factor for a high MetS score and an inverse association between HGS/BW and MetS score was found. Combining these anthropometric measures improved the prediction of metabolic alterations over either alone. […] We found that lower muscle strength and higher central adiposity as defined by waist circumference, were independently associated with a higher MetS score, representing a greater number of alterations of the components of the MetS cluster. […] Our cross-sectional analysis showed a stronger association between a higher MetS score and WC than BMI, confirming previous studies showing that in Latin-American and Chinese population, WC is a stronger predictor of major cardiovascular events such as myocardial infarction or stroke than BMI, particularly in men.

• #11 The prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone | Cardiovascular Diabetology | Full Text

  https://cardiab.biomedcentral.com/articles/10.1186/s12933-021-01256-z

  Lower HGS/BW and higher WC are independently and additively associated with the presence of alterations in the components of the MetS cluster. Therefore, quantifying relative muscle strength in an individual through the simple, quick and low-cost measurement of handgrip dynamometry in addition to the classic anthropometric measurements of adiposity (i.e. WC and W/H), could be a useful screening strategy to improve the identification of individuals at high risk of MetS and CVD.

• #12 Metabolic Syndrome: Practice Essentials, Background, Pathophysiology

  https://emedicine.medscape.com/article/165124-overview

  The complications of metabolic syndrome are broad. Numerous associated cardiovascular complications exist, particularly coronary heart disease, but also atrial fibrillation, heart failure, aortic stenosis, ischemic stroke, and, possibly, venothromboembolic disease. Cardiovascular disease and diabetes mellitus coexist and are two leading causes of death. Evidence also exists to indicate that upregulation of the renin-angiotensin-aldosterone system and derangements to metabolic pathways (eg, glucose and fat metabolism) can also promote pulmonary vascular disease (eg, pulmonary arterial hypertension) and right heart failure. […] Emerging data suggest an important correlation between metabolic syndrome and risk of stroke. Each of the components of metabolic syndrome has been associated with elevated stroke risk, and evidence demonstrates a relationship between the collective metabolic syndrome and risk of ischemic stroke.

• #13 Metabolic Syndrome: Practice Essentials, Background, Pathophysiology

  https://emedicine.medscape.com/article/165124-overview

  The complications of metabolic syndrome are broad. Numerous associated cardiovascular complications exist, particularly coronary heart disease, but also atrial fibrillation, heart failure, aortic stenosis, ischemic stroke, and, possibly, venothromboembolic disease. Cardiovascular disease and diabetes mellitus coexist and are two leading causes of death. Evidence also exists to indicate that upregulation of the renin-angiotensin-aldosterone system and derangements to metabolic pathways (eg, glucose and fat metabolism) can also promote pulmonary vascular disease (eg, pulmonary arterial hypertension) and right heart failure. […] Emerging data suggest an important correlation between metabolic syndrome and risk of stroke. Each of the components of metabolic syndrome has been associated with elevated stroke risk, and evidence demonstrates a relationship between the collective metabolic syndrome and risk of ischemic stroke.

• #14 Metabolic Syndrome: Practice Essentials, Background, Pathophysiology

  https://emedicine.medscape.com/article/165124-overview

  The metabolic derangements that characterize metabolic syndrome have been implicated in the development of nonalcoholic fatty liver disease. Indeed, the fatty liver is thought to play an important role in the development of metabolic syndrome. […] In addition, metabolic syndrome has been implicated in the pathophysiology of several other diseases, including obstructive sleep apnea. Breast cancer has also been linked to metabolic syndrome, possibly through dysregulation of the plasminogen activator inhibitor-1 (PAI-1) cycle. Additional studies have linked metabolic syndrome with cancers of the colon, gallbladder, kidney, and, possibly, prostate gland. […] Metabolic syndrome between pregnancies increases the risk of recurrent preeclampsia, according to a retrospective cohort study of 197 women who had preeclampsia during their first pregnancy.

• #15 Metabolic Syndrome: Practice Essentials, Background, Pathophysiology

  https://emedicine.medscape.com/article/165124-overview

  The metabolic derangements that characterize metabolic syndrome have been implicated in the development of nonalcoholic fatty liver disease. Indeed, the fatty liver is thought to play an important role in the development of metabolic syndrome. […] In addition, metabolic syndrome has been implicated in the pathophysiology of several other diseases, including obstructive sleep apnea. Breast cancer has also been linked to metabolic syndrome, possibly through dysregulation of the plasminogen activator inhibitor-1 (PAI-1) cycle. Additional studies have linked metabolic syndrome with cancers of the colon, gallbladder, kidney, and, possibly, prostate gland. […] Metabolic syndrome between pregnancies increases the risk of recurrent preeclampsia, according to a retrospective cohort study of 197 women who had preeclampsia during their first pregnancy.

• #16 Metabolic Syndrome: Practice Essentials, Background, Pathophysiology

  https://emedicine.medscape.com/article/165124-overview

  The metabolic derangements that characterize metabolic syndrome have been implicated in the development of nonalcoholic fatty liver disease. Indeed, the fatty liver is thought to play an important role in the development of metabolic syndrome. […] In addition, metabolic syndrome has been implicated in the pathophysiology of several other diseases, including obstructive sleep apnea. Breast cancer has also been linked to metabolic syndrome, possibly through dysregulation of the plasminogen activator inhibitor-1 (PAI-1) cycle. Additional studies have linked metabolic syndrome with cancers of the colon, gallbladder, kidney, and, possibly, prostate gland. […] Metabolic syndrome between pregnancies increases the risk of recurrent preeclampsia, according to a retrospective cohort study of 197 women who had preeclampsia during their first pregnancy.

• #17 Metabolic Syndrome: Practice Essentials, Background, Pathophysiology

  https://emedicine.medscape.com/article/165124-overview

  Additional research has raised the possibility that metabolic syndrome adversely affects neurocognitive performance. In particular, metabolic syndrome has been blamed for accelerated cognitive aging. Patients with mental illnesses also face increased cardiometabolic risk due at least in part to socioeconomic factors such as greater poverty and poorer access to medical care. […] Paradoxically, metabolic syndrome was associated with a lower risk of bone fractures in a meta-analysis. Further study is warranted.

• #18 Metabolic Syndrome: Practice Essentials, Background, Pathophysiology

  https://emedicine.medscape.com/article/165124-overview

  Additional research has raised the possibility that metabolic syndrome adversely affects neurocognitive performance. In particular, metabolic syndrome has been blamed for accelerated cognitive aging. Patients with mental illnesses also face increased cardiometabolic risk due at least in part to socioeconomic factors such as greater poverty and poorer access to medical care. […] Paradoxically, metabolic syndrome was associated with a lower risk of bone fractures in a meta-analysis. Further study is warranted.

• #19 High risk of renal outcome of metabolic syndrome independent of diabetes in patients with CKD stage 1–4: The ICKD database

  https://escholarship.org/uc/item/4jc1h7f6

  To investigate whether metabolic syndrome (MetS) could predict renal outcome in patients with established chronic kidney disease (CKD). […] The MetS score was positively associated with proteinuria, inflammation, and nutrition markers. […] In fully adjusted Cox regression, the hazard ratio (HR) (95% confidence interval) of MetS for composite renal outcome (renal replacement therapy, and 50% decline of renal function) in the DM and non-DM subgroups was 1.56 (1.15-2.12) and 1.31 (1.02-1.70), respectively, while that for all-cause mortality was 1.00 (0.71-1.40) and 1.27 (0.92-1.74). […] Blood pressure is the most important component of MetS for renal outcomes. […] MetS could predict renal outcome in patients with CKD stage 1-4 independent of DM.

• #20 The Influence of Metabolic Syndrome in Predicting Mortality Risk Among US Adults: Importance of Metabolic Syndrome Even in Adults With Normal Weight

  https://www.cdc.gov/pcd/issues/2020/20_0020.htm

  We found a higher risk of mortality among normal-weight adults with metabolic syndrome than among other groups without metabolic syndrome. […] Although the prevalence of metabolic syndrome among normal-weight adults is low, it is associated with high risk of mortality. […] MetS is a risk factor for mortality among normal-weight and obese adults. […] In our study, normal-weight adults with MetS had the highest mortality among the 6 groups studied, suggesting that interventions should also focus on MetS patients with normal weight. […] The normal-weightMetS group had the highest mortality rate. […] The adjusted Cox regression model for cardiovascular mortality showed a significant hazard ratio only for the normal-weightMetS group. […] Our study found that the normal-weightMetS group had the highest risk of mortality among MetS and obesity categories a risk that has not been previously identified in US adults.

• #21 The Influence of Metabolic Syndrome in Predicting Mortality Risk Among US Adults: Importance of Metabolic Syndrome Even in Adults With Normal Weight

  https://www.cdc.gov/pcd/issues/2020/20_0020.htm

  We found a higher risk of mortality among normal-weight adults with metabolic syndrome than among other groups without metabolic syndrome. […] Although the prevalence of metabolic syndrome among normal-weight adults is low, it is associated with high risk of mortality. […] MetS is a risk factor for mortality among normal-weight and obese adults. […] In our study, normal-weight adults with MetS had the highest mortality among the 6 groups studied, suggesting that interventions should also focus on MetS patients with normal weight. […] The normal-weightMetS group had the highest mortality rate. […] The adjusted Cox regression model for cardiovascular mortality showed a significant hazard ratio only for the normal-weightMetS group. […] Our study found that the normal-weightMetS group had the highest risk of mortality among MetS and obesity categories a risk that has not been previously identified in US adults.

• #22 :: JGO :: Journal of Gynecologic Oncology

  https://www.ejgo.org/DOIx.php?id=10.3802/jgo.2023.34.e69

  Metabolic syndrome (MetS) is closely related to the increased risk and poor prognosis of endometrial cancer (EC). […] The Kaplan-Meier analysis demonstrated that EC patients with low score showed a better prognosis in OS. […] We constructed and validated a prognostic model based on MRS and clinical prognostic factors to predict the OS of EC patients accurately, which may help clinicians personalize prognostic assessments and effective clinical decisions. […] Metabolic syndrome risk score (MSRs) was an independent risk factor affecting the overall survival of endometrial cancer (EC) patients. […] The prognostic model was verified to have a better accuracy than traditional staging system. […] Our results indicated that the nomogram had a great performance in predicting OS for patients with EC. […] MRS might significantly improve the predictive accuracy for these patients.

• #23 The metabolic syndrome and its components as prognostic factors in metastatic colorectal cancer | CoLab

  https://colab.ws/articles/10.1007%2Fs12664-018-0923-0

  Components of the metabolic syndrome (MetS) are involved in colorectal cancer development and the incidence of the disease is higher in obese and diabetic patients. […] Nevertheless, the value of these diseases or the MetS as a whole as prognostic markers once colorectal cancer is diagnosed is controversial. […] Among the four components of the metabolic syndrome, none was associated with either PFS or OS. […] The MetS as a whole did not influence survival outcome. […] These data suggest that diabetes or other metabolic syndrome elements are not prognostic factors for PFS or OS in metastatic colorectal cancer.

• #24 Novel metabolic prognostic score for predicting survival in patients with cancer | Scientific Reports

  https://www.nature.com/articles/s41598-025-85287-6

  Cancer is a fatal disease with a high global prevalence and is associated with an increased incidence of metabolic disorders. This study aimed to develop a novel metabolic prognostic system to evaluate the overall metabolic disorder burden in cancer patients and its relationship with their prognosis. […] Five of the 19 hematological indexes, including hemoglobin, neutrophils, direct bilirubin, albumin, and globulin, were selected as the evaluation indicators of metabolic disorder burden and independent risk factors for prognosis in cancer patients. Patients with a higher metabolic disorder burden had poorer survival rates. […] The nomogram and corresponding calculator can accurately evaluate the metabolic disorder burden and predict the prognosis of patients with cancer. […] Univariate and multivariate Cox regression analyses indicated that the metabolic prognostic score was significantly associated with mortality of cancer patients (all p<0.001). Higher scores corresponded to increased mortality risk.

• #25 Novel metabolic prognostic score for predicting survival in patients with cancer | Scientific Reports

  https://www.nature.com/articles/s41598-025-85287-6

  The results of this study showed that metabolic disorder burden (including Hb, Neu, Dbil, Alb, and Glo) was independent risk factors for OS in cancer patients. The metabolic prognostic score accurately reflects the metabolic disorder burden in cancer patients, and the burden directly correlates with worsened survival.

• #26 On Patient’s Characteristics Extraction for Metabolic Syndrome Diagnosis: Predictive Modelling Based on Machine Learning | SpringerLink

  https://link.springer.com/chapter/10.1007/978-3-319-10265-8_11

  The work presented in this paper demonstrates how different data mining approaches can be applied to extend conventional combinations of variables determining the Metabolic Syndrome with new influential variables, which are easily available in the everyday physicians practice. […] The results showed that there is a large diversity of patient groups, much larger than it was supposed earlier on when their identification was based on the conventional variables approach, indicating the underlying complexity of this syndrome. […] Finally, the discovered novel variables, indicating yet unknown pathogenetic pathways can be used to inspire future research.

• #27 Continuous Metabolic Syndrome Scores for Children Using Salivary Biomarkers | PLOS One

  https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0138979

  Metabolic syndrome (MetS) has been defined as a concurrence of metabolic abnormalities associated with atherosclerotic cardiovascular disease and insulin resistance that are related to the development of type 2 diabetes (T2D). […] The current analysis is based on a large-scale longitudinal study evaluating factors related to the etiology and development of obesity in over 8,000 Kuwait children aged 8-14 years. […] The cmetS score will be tracked in the follow-up study as an indicator of metabolic risk, and cmetS at baseline can be used in predicting later incidents, such as development of T2D or cardiovascular disease. […] The ability of cmetS to predict MetS was assessed using receiver operating characteristic (ROC) curves. The area under the curve (AUC) was taken as a measure of overall accuracy of cmetS to discriminate between subjects with and without severe metabolic syndrome.

• #28 Continuous Metabolic Syndrome Scores for Children Using Salivary Biomarkers | PLOS One

  https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0138979

  The two cmetS constructed in our study increased progressively with increasing number of risk factors. […] We also tested an alternative outcome using a less stringent criterion for MetS (i.e., 2 risk factors), and found cmetS-Z and cmetS-PCA are also good predictor for this outcome (AUC = 0.900, 0.917, respectively). […] Our findings demonstrated that fitness level in these children are inversely associated with MetS profile, and the relationships between Mets status and salivary adipocytokines/inflammatory markers are drastically dysregulated in overweight and obese children.

• #29 Metabolic Syndrome: What It Is, Causes, Symptoms & Treatment

  https://my.clevelandclinic.org/health/diseases/10783-metabolic-syndrome

  Metabolic syndrome increases your risk of cardiovascular disease, Type 2 diabetes and stroke. […] You have metabolic syndrome if you meet at least three of the criteria. […] The good news is that it’s possible to reverse metabolic syndrome with lifestyle changes and medications. The sooner you can make changes to protect your health, the better.

• #30 Establishing a Prediction Model for Weight Loss Outcomes After LSG in | DMSO

  https://www.dovepress.com/establishing-a-prediction-model-for-weight-loss-outcomes-after-lsg-in–peer-reviewed-fulltext-article-DMSO

  In obese Chinese patients with a BMI 32.5 kg/m2, the Inbody-based nomogram integrating REE/BW, FFMI, and WC offers an effective preoperative tool for predicting weight loss outcomes one year after LSG, facilitating surgical planning and postoperative management. […] The five most influential variables were subsequently included in a multivariate logistic regression model, which indicated that REE/BW, FFMI, and WC were independent predictors of weight loss outcomes. […] This study developed a preoperative predictive model for weight loss outcomes following LSG by integrating three key indicators: REE/BW, FFMI, and WC. […] The findings of this study are consistent with previous research. […] In conclusion, the combination of REE/BW, FFMI, and WC provides a relatively accurate preoperative prediction of weight loss outcomes one year post-LSG.

• #31 Establishing a Prediction Model for Weight Loss Outcomes After LSG in | DMSO

  https://www.dovepress.com/establishing-a-prediction-model-for-weight-loss-outcomes-after-lsg-in–peer-reviewed-fulltext-article-DMSO

  In obese Chinese patients with a BMI 32.5 kg/m2, the Inbody-based nomogram integrating REE/BW, FFMI, and WC offers an effective preoperative tool for predicting weight loss outcomes one year after LSG, facilitating surgical planning and postoperative management. […] The five most influential variables were subsequently included in a multivariate logistic regression model, which indicated that REE/BW, FFMI, and WC were independent predictors of weight loss outcomes. […] This study developed a preoperative predictive model for weight loss outcomes following LSG by integrating three key indicators: REE/BW, FFMI, and WC. […] The findings of this study are consistent with previous research. […] In conclusion, the combination of REE/BW, FFMI, and WC provides a relatively accurate preoperative prediction of weight loss outcomes one year post-LSG.

• #32

  https://www.archivesofmedicalscience.com/The-importance-of-two-metabolic-syndrome-diagnostic-criteria-and-body-fat-distribution,62184,0,2.html

  The importance of two metabolic syndrome diagnostic criteria and body fat distribution in predicting clinical severity and prognosis of acute myocardial infarction […] The interrelation between metabolic syndrome (MetS) (the revised National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATP III) and International Diabetes Federation (IDF)) and obesity indices in predicting clinical severity and prognosis of acute ST-elevation myocardial infarction (STEMI) is insufficiently known. […] MetS (NCEP-ATP III) and several central obesity indices are superior to BMI in predicting acute STEMI severity (clinical presentation, in-hospital complications, severity of coronary disease), while WC and MetS (IDF) have no influence on it. They all have no influence on prognosis.

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