Comparison of inflammation-related hematologic indices for predicting metabolic syndrome in adults
Aim It was planned to evaluate different hematologic indices (neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), lymphocyte/high-density lipoprotein to cholesterol ratio (LHR), neutrophil/high-density lipoprotein to cholesterol ratio (NHR), and monoc...
Ausführliche Beschreibung
Autor*in: |
Yilmaz, Sevil Karahan [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022 |
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Schlagwörter: |
Lymphocyte/high-density lipoprotein to cholesterol ratio |
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Anmerkung: |
© The Author(s), under exclusive licence to Research Society for Study of Diabetes in India 2022 |
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Übergeordnetes Werk: |
Enthalten in: International journal of diabetes in developing countries - [Delhi] : Springer India, 2006, 43(2022), 2 vom: 07. Juni, Seite 184-190 |
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Übergeordnetes Werk: |
volume:43 ; year:2022 ; number:2 ; day:07 ; month:06 ; pages:184-190 |
Links: |
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DOI / URN: |
10.1007/s13410-022-01093-0 |
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Katalog-ID: |
SPR050053922 |
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100 | 1 | |a Yilmaz, Sevil Karahan |e verfasserin |0 (orcid)0000-0002-7446-4508 |4 aut | |
245 | 1 | 0 | |a Comparison of inflammation-related hematologic indices for predicting metabolic syndrome in adults |
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520 | |a Aim It was planned to evaluate different hematologic indices (neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), lymphocyte/high-density lipoprotein to cholesterol ratio (LHR), neutrophil/high-density lipoprotein to cholesterol ratio (NHR), and monocyte/high-density lipoprotein to cholesterol ratio (MHR)) associated with inflammation in predicting metabolic syndrome in adults and to predict which marker is the better predictor. Materials and methods This study comprised 399 adults between the ages of 18 and 65. Bodyweight, height, waist circumference, and blood pressure were measured; fasting blood glucose, total cholesterol, triglycerides, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, C-reactive protein, and hemogram values were analyzed. The International Diabetes Federation criteria were used to define metabolic syndrome. Results The study included 133 (33.3%) males and 266 (66.4%) females with an average age of 54.3 ± 11.8 years. The prevalence of metabolic syndrome is 58.6% (male 44.3%; female 65.7%). For both men (AUC = 0.730, cutoff = 4.5) and women (AUC = 0.669, cutoff = 4.2), the NHR index has the highest AUC. LHR has the second-highest metabolic syndrome determination in men (AUC = 0.647, cutoff = 6.9). Women’s LHR (AUC = 0.626, cutoff = 6.4) and LMR (AUC = 0.757, cutoff = 4.9) had the second and third highest AUCs, respectively, while NLR and PLR were not significant in either gender (p > 0.05). Conclusion The NHR index is a strong predictor of metabolic syndrome. In men, the NHR index is a better predictor of metabolic syndrome than the LHR index, and in women, the NHR index is better than the LHR and LMR. | ||
650 | 4 | |a Metabolic syndrome |7 (dpeaa)DE-He213 | |
650 | 4 | |a Lymphocyte/monocyte ratio |7 (dpeaa)DE-He213 | |
650 | 4 | |a Lymphocyte/high-density lipoprotein to cholesterol ratio |7 (dpeaa)DE-He213 | |
650 | 4 | |a Neutrophil/high-density lipoprotein to cholesterol ratio |7 (dpeaa)DE-He213 | |
650 | 4 | |a Monocyte/high-density lipoprotein to cholesterol ratio |7 (dpeaa)DE-He213 | |
700 | 1 | |a Özçiçek, Fatih |0 (orcid)0000-0001-5088-4893 |4 aut | |
773 | 0 | 8 | |i Enthalten in |t International journal of diabetes in developing countries |d [Delhi] : Springer India, 2006 |g 43(2022), 2 vom: 07. Juni, Seite 184-190 |w (DE-627)521483700 |w (DE-600)2263351-0 |x 1998-3832 |7 nnns |
773 | 1 | 8 | |g volume:43 |g year:2022 |g number:2 |g day:07 |g month:06 |g pages:184-190 |
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2022 |
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10.1007/s13410-022-01093-0 doi (DE-627)SPR050053922 (SPR)s13410-022-01093-0-e DE-627 ger DE-627 rakwb eng Yilmaz, Sevil Karahan verfasserin (orcid)0000-0002-7446-4508 aut Comparison of inflammation-related hematologic indices for predicting metabolic syndrome in adults 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Research Society for Study of Diabetes in India 2022 Aim It was planned to evaluate different hematologic indices (neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), lymphocyte/high-density lipoprotein to cholesterol ratio (LHR), neutrophil/high-density lipoprotein to cholesterol ratio (NHR), and monocyte/high-density lipoprotein to cholesterol ratio (MHR)) associated with inflammation in predicting metabolic syndrome in adults and to predict which marker is the better predictor. Materials and methods This study comprised 399 adults between the ages of 18 and 65. Bodyweight, height, waist circumference, and blood pressure were measured; fasting blood glucose, total cholesterol, triglycerides, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, C-reactive protein, and hemogram values were analyzed. The International Diabetes Federation criteria were used to define metabolic syndrome. Results The study included 133 (33.3%) males and 266 (66.4%) females with an average age of 54.3 ± 11.8 years. The prevalence of metabolic syndrome is 58.6% (male 44.3%; female 65.7%). For both men (AUC = 0.730, cutoff = 4.5) and women (AUC = 0.669, cutoff = 4.2), the NHR index has the highest AUC. LHR has the second-highest metabolic syndrome determination in men (AUC = 0.647, cutoff = 6.9). Women’s LHR (AUC = 0.626, cutoff = 6.4) and LMR (AUC = 0.757, cutoff = 4.9) had the second and third highest AUCs, respectively, while NLR and PLR were not significant in either gender (p > 0.05). Conclusion The NHR index is a strong predictor of metabolic syndrome. In men, the NHR index is a better predictor of metabolic syndrome than the LHR index, and in women, the NHR index is better than the LHR and LMR. Metabolic syndrome (dpeaa)DE-He213 Lymphocyte/monocyte ratio (dpeaa)DE-He213 Lymphocyte/high-density lipoprotein to cholesterol ratio (dpeaa)DE-He213 Neutrophil/high-density lipoprotein to cholesterol ratio (dpeaa)DE-He213 Monocyte/high-density lipoprotein to cholesterol ratio (dpeaa)DE-He213 Özçiçek, Fatih (orcid)0000-0001-5088-4893 aut Enthalten in International journal of diabetes in developing countries [Delhi] : Springer India, 2006 43(2022), 2 vom: 07. Juni, Seite 184-190 (DE-627)521483700 (DE-600)2263351-0 1998-3832 nnns volume:43 year:2022 number:2 day:07 month:06 pages:184-190 https://dx.doi.org/10.1007/s13410-022-01093-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2022 2 07 06 184-190 |
spelling |
10.1007/s13410-022-01093-0 doi (DE-627)SPR050053922 (SPR)s13410-022-01093-0-e DE-627 ger DE-627 rakwb eng Yilmaz, Sevil Karahan verfasserin (orcid)0000-0002-7446-4508 aut Comparison of inflammation-related hematologic indices for predicting metabolic syndrome in adults 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Research Society for Study of Diabetes in India 2022 Aim It was planned to evaluate different hematologic indices (neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), lymphocyte/high-density lipoprotein to cholesterol ratio (LHR), neutrophil/high-density lipoprotein to cholesterol ratio (NHR), and monocyte/high-density lipoprotein to cholesterol ratio (MHR)) associated with inflammation in predicting metabolic syndrome in adults and to predict which marker is the better predictor. Materials and methods This study comprised 399 adults between the ages of 18 and 65. Bodyweight, height, waist circumference, and blood pressure were measured; fasting blood glucose, total cholesterol, triglycerides, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, C-reactive protein, and hemogram values were analyzed. The International Diabetes Federation criteria were used to define metabolic syndrome. Results The study included 133 (33.3%) males and 266 (66.4%) females with an average age of 54.3 ± 11.8 years. The prevalence of metabolic syndrome is 58.6% (male 44.3%; female 65.7%). For both men (AUC = 0.730, cutoff = 4.5) and women (AUC = 0.669, cutoff = 4.2), the NHR index has the highest AUC. LHR has the second-highest metabolic syndrome determination in men (AUC = 0.647, cutoff = 6.9). Women’s LHR (AUC = 0.626, cutoff = 6.4) and LMR (AUC = 0.757, cutoff = 4.9) had the second and third highest AUCs, respectively, while NLR and PLR were not significant in either gender (p > 0.05). Conclusion The NHR index is a strong predictor of metabolic syndrome. In men, the NHR index is a better predictor of metabolic syndrome than the LHR index, and in women, the NHR index is better than the LHR and LMR. Metabolic syndrome (dpeaa)DE-He213 Lymphocyte/monocyte ratio (dpeaa)DE-He213 Lymphocyte/high-density lipoprotein to cholesterol ratio (dpeaa)DE-He213 Neutrophil/high-density lipoprotein to cholesterol ratio (dpeaa)DE-He213 Monocyte/high-density lipoprotein to cholesterol ratio (dpeaa)DE-He213 Özçiçek, Fatih (orcid)0000-0001-5088-4893 aut Enthalten in International journal of diabetes in developing countries [Delhi] : Springer India, 2006 43(2022), 2 vom: 07. Juni, Seite 184-190 (DE-627)521483700 (DE-600)2263351-0 1998-3832 nnns volume:43 year:2022 number:2 day:07 month:06 pages:184-190 https://dx.doi.org/10.1007/s13410-022-01093-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2022 2 07 06 184-190 |
allfields_unstemmed |
10.1007/s13410-022-01093-0 doi (DE-627)SPR050053922 (SPR)s13410-022-01093-0-e DE-627 ger DE-627 rakwb eng Yilmaz, Sevil Karahan verfasserin (orcid)0000-0002-7446-4508 aut Comparison of inflammation-related hematologic indices for predicting metabolic syndrome in adults 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Research Society for Study of Diabetes in India 2022 Aim It was planned to evaluate different hematologic indices (neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), lymphocyte/high-density lipoprotein to cholesterol ratio (LHR), neutrophil/high-density lipoprotein to cholesterol ratio (NHR), and monocyte/high-density lipoprotein to cholesterol ratio (MHR)) associated with inflammation in predicting metabolic syndrome in adults and to predict which marker is the better predictor. Materials and methods This study comprised 399 adults between the ages of 18 and 65. Bodyweight, height, waist circumference, and blood pressure were measured; fasting blood glucose, total cholesterol, triglycerides, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, C-reactive protein, and hemogram values were analyzed. The International Diabetes Federation criteria were used to define metabolic syndrome. Results The study included 133 (33.3%) males and 266 (66.4%) females with an average age of 54.3 ± 11.8 years. The prevalence of metabolic syndrome is 58.6% (male 44.3%; female 65.7%). For both men (AUC = 0.730, cutoff = 4.5) and women (AUC = 0.669, cutoff = 4.2), the NHR index has the highest AUC. LHR has the second-highest metabolic syndrome determination in men (AUC = 0.647, cutoff = 6.9). Women’s LHR (AUC = 0.626, cutoff = 6.4) and LMR (AUC = 0.757, cutoff = 4.9) had the second and third highest AUCs, respectively, while NLR and PLR were not significant in either gender (p > 0.05). Conclusion The NHR index is a strong predictor of metabolic syndrome. In men, the NHR index is a better predictor of metabolic syndrome than the LHR index, and in women, the NHR index is better than the LHR and LMR. Metabolic syndrome (dpeaa)DE-He213 Lymphocyte/monocyte ratio (dpeaa)DE-He213 Lymphocyte/high-density lipoprotein to cholesterol ratio (dpeaa)DE-He213 Neutrophil/high-density lipoprotein to cholesterol ratio (dpeaa)DE-He213 Monocyte/high-density lipoprotein to cholesterol ratio (dpeaa)DE-He213 Özçiçek, Fatih (orcid)0000-0001-5088-4893 aut Enthalten in International journal of diabetes in developing countries [Delhi] : Springer India, 2006 43(2022), 2 vom: 07. Juni, Seite 184-190 (DE-627)521483700 (DE-600)2263351-0 1998-3832 nnns volume:43 year:2022 number:2 day:07 month:06 pages:184-190 https://dx.doi.org/10.1007/s13410-022-01093-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2022 2 07 06 184-190 |
allfieldsGer |
10.1007/s13410-022-01093-0 doi (DE-627)SPR050053922 (SPR)s13410-022-01093-0-e DE-627 ger DE-627 rakwb eng Yilmaz, Sevil Karahan verfasserin (orcid)0000-0002-7446-4508 aut Comparison of inflammation-related hematologic indices for predicting metabolic syndrome in adults 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Research Society for Study of Diabetes in India 2022 Aim It was planned to evaluate different hematologic indices (neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), lymphocyte/high-density lipoprotein to cholesterol ratio (LHR), neutrophil/high-density lipoprotein to cholesterol ratio (NHR), and monocyte/high-density lipoprotein to cholesterol ratio (MHR)) associated with inflammation in predicting metabolic syndrome in adults and to predict which marker is the better predictor. Materials and methods This study comprised 399 adults between the ages of 18 and 65. Bodyweight, height, waist circumference, and blood pressure were measured; fasting blood glucose, total cholesterol, triglycerides, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, C-reactive protein, and hemogram values were analyzed. The International Diabetes Federation criteria were used to define metabolic syndrome. Results The study included 133 (33.3%) males and 266 (66.4%) females with an average age of 54.3 ± 11.8 years. The prevalence of metabolic syndrome is 58.6% (male 44.3%; female 65.7%). For both men (AUC = 0.730, cutoff = 4.5) and women (AUC = 0.669, cutoff = 4.2), the NHR index has the highest AUC. LHR has the second-highest metabolic syndrome determination in men (AUC = 0.647, cutoff = 6.9). Women’s LHR (AUC = 0.626, cutoff = 6.4) and LMR (AUC = 0.757, cutoff = 4.9) had the second and third highest AUCs, respectively, while NLR and PLR were not significant in either gender (p > 0.05). Conclusion The NHR index is a strong predictor of metabolic syndrome. In men, the NHR index is a better predictor of metabolic syndrome than the LHR index, and in women, the NHR index is better than the LHR and LMR. Metabolic syndrome (dpeaa)DE-He213 Lymphocyte/monocyte ratio (dpeaa)DE-He213 Lymphocyte/high-density lipoprotein to cholesterol ratio (dpeaa)DE-He213 Neutrophil/high-density lipoprotein to cholesterol ratio (dpeaa)DE-He213 Monocyte/high-density lipoprotein to cholesterol ratio (dpeaa)DE-He213 Özçiçek, Fatih (orcid)0000-0001-5088-4893 aut Enthalten in International journal of diabetes in developing countries [Delhi] : Springer India, 2006 43(2022), 2 vom: 07. Juni, Seite 184-190 (DE-627)521483700 (DE-600)2263351-0 1998-3832 nnns volume:43 year:2022 number:2 day:07 month:06 pages:184-190 https://dx.doi.org/10.1007/s13410-022-01093-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2022 2 07 06 184-190 |
allfieldsSound |
10.1007/s13410-022-01093-0 doi (DE-627)SPR050053922 (SPR)s13410-022-01093-0-e DE-627 ger DE-627 rakwb eng Yilmaz, Sevil Karahan verfasserin (orcid)0000-0002-7446-4508 aut Comparison of inflammation-related hematologic indices for predicting metabolic syndrome in adults 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Research Society for Study of Diabetes in India 2022 Aim It was planned to evaluate different hematologic indices (neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), lymphocyte/high-density lipoprotein to cholesterol ratio (LHR), neutrophil/high-density lipoprotein to cholesterol ratio (NHR), and monocyte/high-density lipoprotein to cholesterol ratio (MHR)) associated with inflammation in predicting metabolic syndrome in adults and to predict which marker is the better predictor. Materials and methods This study comprised 399 adults between the ages of 18 and 65. Bodyweight, height, waist circumference, and blood pressure were measured; fasting blood glucose, total cholesterol, triglycerides, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, C-reactive protein, and hemogram values were analyzed. The International Diabetes Federation criteria were used to define metabolic syndrome. Results The study included 133 (33.3%) males and 266 (66.4%) females with an average age of 54.3 ± 11.8 years. The prevalence of metabolic syndrome is 58.6% (male 44.3%; female 65.7%). For both men (AUC = 0.730, cutoff = 4.5) and women (AUC = 0.669, cutoff = 4.2), the NHR index has the highest AUC. LHR has the second-highest metabolic syndrome determination in men (AUC = 0.647, cutoff = 6.9). Women’s LHR (AUC = 0.626, cutoff = 6.4) and LMR (AUC = 0.757, cutoff = 4.9) had the second and third highest AUCs, respectively, while NLR and PLR were not significant in either gender (p > 0.05). Conclusion The NHR index is a strong predictor of metabolic syndrome. In men, the NHR index is a better predictor of metabolic syndrome than the LHR index, and in women, the NHR index is better than the LHR and LMR. Metabolic syndrome (dpeaa)DE-He213 Lymphocyte/monocyte ratio (dpeaa)DE-He213 Lymphocyte/high-density lipoprotein to cholesterol ratio (dpeaa)DE-He213 Neutrophil/high-density lipoprotein to cholesterol ratio (dpeaa)DE-He213 Monocyte/high-density lipoprotein to cholesterol ratio (dpeaa)DE-He213 Özçiçek, Fatih (orcid)0000-0001-5088-4893 aut Enthalten in International journal of diabetes in developing countries [Delhi] : Springer India, 2006 43(2022), 2 vom: 07. Juni, Seite 184-190 (DE-627)521483700 (DE-600)2263351-0 1998-3832 nnns volume:43 year:2022 number:2 day:07 month:06 pages:184-190 https://dx.doi.org/10.1007/s13410-022-01093-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2022 2 07 06 184-190 |
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English |
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Enthalten in International journal of diabetes in developing countries 43(2022), 2 vom: 07. Juni, Seite 184-190 volume:43 year:2022 number:2 day:07 month:06 pages:184-190 |
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Enthalten in International journal of diabetes in developing countries 43(2022), 2 vom: 07. Juni, Seite 184-190 volume:43 year:2022 number:2 day:07 month:06 pages:184-190 |
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Metabolic syndrome Lymphocyte/monocyte ratio Lymphocyte/high-density lipoprotein to cholesterol ratio Neutrophil/high-density lipoprotein to cholesterol ratio Monocyte/high-density lipoprotein to cholesterol ratio |
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International journal of diabetes in developing countries |
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Yilmaz, Sevil Karahan @@aut@@ Özçiçek, Fatih @@aut@@ |
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2022-06-07T00:00:00Z |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">SPR050053922</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230417082730.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230417s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s13410-022-01093-0</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR050053922</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s13410-022-01093-0-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Yilmaz, Sevil Karahan</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-7446-4508</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Comparison of inflammation-related hematologic indices for predicting metabolic syndrome in adults</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s), under exclusive licence to Research Society for Study of Diabetes in India 2022</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Aim It was planned to evaluate different hematologic indices (neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), lymphocyte/high-density lipoprotein to cholesterol ratio (LHR), neutrophil/high-density lipoprotein to cholesterol ratio (NHR), and monocyte/high-density lipoprotein to cholesterol ratio (MHR)) associated with inflammation in predicting metabolic syndrome in adults and to predict which marker is the better predictor. Materials and methods This study comprised 399 adults between the ages of 18 and 65. Bodyweight, height, waist circumference, and blood pressure were measured; fasting blood glucose, total cholesterol, triglycerides, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, C-reactive protein, and hemogram values were analyzed. The International Diabetes Federation criteria were used to define metabolic syndrome. Results The study included 133 (33.3%) males and 266 (66.4%) females with an average age of 54.3 ± 11.8 years. The prevalence of metabolic syndrome is 58.6% (male 44.3%; female 65.7%). For both men (AUC = 0.730, cutoff = 4.5) and women (AUC = 0.669, cutoff = 4.2), the NHR index has the highest AUC. LHR has the second-highest metabolic syndrome determination in men (AUC = 0.647, cutoff = 6.9). Women’s LHR (AUC = 0.626, cutoff = 6.4) and LMR (AUC = 0.757, cutoff = 4.9) had the second and third highest AUCs, respectively, while NLR and PLR were not significant in either gender (p > 0.05). Conclusion The NHR index is a strong predictor of metabolic syndrome. 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Yilmaz, Sevil Karahan |
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Yilmaz, Sevil Karahan misc Metabolic syndrome misc Lymphocyte/monocyte ratio misc Lymphocyte/high-density lipoprotein to cholesterol ratio misc Neutrophil/high-density lipoprotein to cholesterol ratio misc Monocyte/high-density lipoprotein to cholesterol ratio Comparison of inflammation-related hematologic indices for predicting metabolic syndrome in adults |
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Comparison of inflammation-related hematologic indices for predicting metabolic syndrome in adults Metabolic syndrome (dpeaa)DE-He213 Lymphocyte/monocyte ratio (dpeaa)DE-He213 Lymphocyte/high-density lipoprotein to cholesterol ratio (dpeaa)DE-He213 Neutrophil/high-density lipoprotein to cholesterol ratio (dpeaa)DE-He213 Monocyte/high-density lipoprotein to cholesterol ratio (dpeaa)DE-He213 |
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misc Metabolic syndrome misc Lymphocyte/monocyte ratio misc Lymphocyte/high-density lipoprotein to cholesterol ratio misc Neutrophil/high-density lipoprotein to cholesterol ratio misc Monocyte/high-density lipoprotein to cholesterol ratio |
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misc Metabolic syndrome misc Lymphocyte/monocyte ratio misc Lymphocyte/high-density lipoprotein to cholesterol ratio misc Neutrophil/high-density lipoprotein to cholesterol ratio misc Monocyte/high-density lipoprotein to cholesterol ratio |
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misc Metabolic syndrome misc Lymphocyte/monocyte ratio misc Lymphocyte/high-density lipoprotein to cholesterol ratio misc Neutrophil/high-density lipoprotein to cholesterol ratio misc Monocyte/high-density lipoprotein to cholesterol ratio |
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Comparison of inflammation-related hematologic indices for predicting metabolic syndrome in adults |
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Comparison of inflammation-related hematologic indices for predicting metabolic syndrome in adults |
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Yilmaz, Sevil Karahan |
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International journal of diabetes in developing countries |
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Yilmaz, Sevil Karahan Özçiçek, Fatih |
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comparison of inflammation-related hematologic indices for predicting metabolic syndrome in adults |
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Comparison of inflammation-related hematologic indices for predicting metabolic syndrome in adults |
abstract |
Aim It was planned to evaluate different hematologic indices (neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), lymphocyte/high-density lipoprotein to cholesterol ratio (LHR), neutrophil/high-density lipoprotein to cholesterol ratio (NHR), and monocyte/high-density lipoprotein to cholesterol ratio (MHR)) associated with inflammation in predicting metabolic syndrome in adults and to predict which marker is the better predictor. Materials and methods This study comprised 399 adults between the ages of 18 and 65. Bodyweight, height, waist circumference, and blood pressure were measured; fasting blood glucose, total cholesterol, triglycerides, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, C-reactive protein, and hemogram values were analyzed. The International Diabetes Federation criteria were used to define metabolic syndrome. Results The study included 133 (33.3%) males and 266 (66.4%) females with an average age of 54.3 ± 11.8 years. The prevalence of metabolic syndrome is 58.6% (male 44.3%; female 65.7%). For both men (AUC = 0.730, cutoff = 4.5) and women (AUC = 0.669, cutoff = 4.2), the NHR index has the highest AUC. LHR has the second-highest metabolic syndrome determination in men (AUC = 0.647, cutoff = 6.9). Women’s LHR (AUC = 0.626, cutoff = 6.4) and LMR (AUC = 0.757, cutoff = 4.9) had the second and third highest AUCs, respectively, while NLR and PLR were not significant in either gender (p > 0.05). Conclusion The NHR index is a strong predictor of metabolic syndrome. In men, the NHR index is a better predictor of metabolic syndrome than the LHR index, and in women, the NHR index is better than the LHR and LMR. © The Author(s), under exclusive licence to Research Society for Study of Diabetes in India 2022 |
abstractGer |
Aim It was planned to evaluate different hematologic indices (neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), lymphocyte/high-density lipoprotein to cholesterol ratio (LHR), neutrophil/high-density lipoprotein to cholesterol ratio (NHR), and monocyte/high-density lipoprotein to cholesterol ratio (MHR)) associated with inflammation in predicting metabolic syndrome in adults and to predict which marker is the better predictor. Materials and methods This study comprised 399 adults between the ages of 18 and 65. Bodyweight, height, waist circumference, and blood pressure were measured; fasting blood glucose, total cholesterol, triglycerides, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, C-reactive protein, and hemogram values were analyzed. The International Diabetes Federation criteria were used to define metabolic syndrome. Results The study included 133 (33.3%) males and 266 (66.4%) females with an average age of 54.3 ± 11.8 years. The prevalence of metabolic syndrome is 58.6% (male 44.3%; female 65.7%). For both men (AUC = 0.730, cutoff = 4.5) and women (AUC = 0.669, cutoff = 4.2), the NHR index has the highest AUC. LHR has the second-highest metabolic syndrome determination in men (AUC = 0.647, cutoff = 6.9). Women’s LHR (AUC = 0.626, cutoff = 6.4) and LMR (AUC = 0.757, cutoff = 4.9) had the second and third highest AUCs, respectively, while NLR and PLR were not significant in either gender (p > 0.05). Conclusion The NHR index is a strong predictor of metabolic syndrome. In men, the NHR index is a better predictor of metabolic syndrome than the LHR index, and in women, the NHR index is better than the LHR and LMR. © The Author(s), under exclusive licence to Research Society for Study of Diabetes in India 2022 |
abstract_unstemmed |
Aim It was planned to evaluate different hematologic indices (neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), lymphocyte/high-density lipoprotein to cholesterol ratio (LHR), neutrophil/high-density lipoprotein to cholesterol ratio (NHR), and monocyte/high-density lipoprotein to cholesterol ratio (MHR)) associated with inflammation in predicting metabolic syndrome in adults and to predict which marker is the better predictor. Materials and methods This study comprised 399 adults between the ages of 18 and 65. Bodyweight, height, waist circumference, and blood pressure were measured; fasting blood glucose, total cholesterol, triglycerides, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, C-reactive protein, and hemogram values were analyzed. The International Diabetes Federation criteria were used to define metabolic syndrome. Results The study included 133 (33.3%) males and 266 (66.4%) females with an average age of 54.3 ± 11.8 years. The prevalence of metabolic syndrome is 58.6% (male 44.3%; female 65.7%). For both men (AUC = 0.730, cutoff = 4.5) and women (AUC = 0.669, cutoff = 4.2), the NHR index has the highest AUC. LHR has the second-highest metabolic syndrome determination in men (AUC = 0.647, cutoff = 6.9). Women’s LHR (AUC = 0.626, cutoff = 6.4) and LMR (AUC = 0.757, cutoff = 4.9) had the second and third highest AUCs, respectively, while NLR and PLR were not significant in either gender (p > 0.05). Conclusion The NHR index is a strong predictor of metabolic syndrome. In men, the NHR index is a better predictor of metabolic syndrome than the LHR index, and in women, the NHR index is better than the LHR and LMR. © The Author(s), under exclusive licence to Research Society for Study of Diabetes in India 2022 |
collection_details |
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title_short |
Comparison of inflammation-related hematologic indices for predicting metabolic syndrome in adults |
url |
https://dx.doi.org/10.1007/s13410-022-01093-0 |
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Özçiçek, Fatih |
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Özçiçek, Fatih |
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10.1007/s13410-022-01093-0 |
up_date |
2024-07-04T03:16:25.020Z |
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score |
7.400139 |