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Ding R, Zeng Y, Wei Z, He Z, Jiang Z, Yu J, You C. The L-shape relationship between hemoglobin, albumin, lymphocyte, platelet score and the risk of diabetic retinopathy in the US population. Front Endocrinol (Lausanne) 2024; 15:1356929. [PMID: 38800491 PMCID: PMC11116578 DOI: 10.3389/fendo.2024.1356929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Accepted: 04/22/2024] [Indexed: 05/29/2024] Open
Abstract
Background The primary aim of this study was to investigate the correlation between diabetic retinopathy (DR) and the HALP score (hemoglobin, albumin, lymphocyte, and platelet) in individuals with diabetes within the United States population. Methods This cross-sectional investigation was based on the National Health and Nutrition Examination Survey (NHANES) database from 2003-2018. The following module calculated the HALP score: HALP score = [lymphocytes (/L) × hemoglobin (g/L) × albumin (g/L)]/platelets (/L). By performing the receiver operating characteristic (ROC) analysis, the optimal cutoff value of HALP was ascertained. Restricted cubic splines (RCS), multivariable logistic regression analysis, sensitivity analysis, and subgroup analysis were conducted to evaluate the effect of the HALP score on DR patients. Finally, the decision curve analysis (DCA) and clinical impact curve (CIC) were conducted to estimate the predictive power and clinical utility of the HALP score with clinical indicators. Results According to the cutoff value (42.9) determined by the ROC curve, the participants were stratified into a lower HALP group (HALPlow) and a higher HALP group (HALPhigh). An L-shaped relationship between HALP score and DR risk was presented in the RCS model (P for nonlinearity <0.001). The DR risk sharply decreased with the increase of HALP, and the decline reached a plateau when HALP was more than 42.9. After fully adjustment, the multivariate logistic regression analysis found that HALPlow was an independent risk factor for DR (OR = 1.363, 95% CI: 1.111-1.671, P < 0.001). Besides, sensitivity analysis showed consistent results. Furthermore, the combination of HALP score and clinical indicators demonstrated predictive power and clinical utility, as shown by the ROC curve, DCA, and CIC. Conclusion The HALP score has an L-shaped correlation with the risk of DR, and thus, the HALP score may contribute to the timely intervention of diabetes patients.
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Affiliation(s)
- Ranran Ding
- Department of Ophthalmology, Tianjin Medical University General Hospital, Heping District, Tianjin, China
- Tianjin Medical University, Heping District, Tianjin, China
| | - Yusong Zeng
- Department of Ophthalmology, Tianjin Medical University General Hospital, Heping District, Tianjin, China
- Tianjin Medical University, Heping District, Tianjin, China
| | - Zhimei Wei
- Department of Ophthalmology, Tianjin Medical University General Hospital, Heping District, Tianjin, China
- Tianjin Medical University, Heping District, Tianjin, China
| | - Zitong He
- Department of Ophthalmology, Tianjin Medical University General Hospital, Heping District, Tianjin, China
- Tianjin Medical University, Heping District, Tianjin, China
| | - Zhixin Jiang
- Tianjin Eye Hospital, Nankai University Affiliated Eye Hospital, Clinical College of Ophthalmology, Tianjin Medical University, Tianjin Eye Institute, Tianjin Key Laboratory of Ophthalmology and Visual Science, Tianjin, China
| | - Jinguo Yu
- Department of Ophthalmology, Tianjin Medical University General Hospital, Heping District, Tianjin, China
| | - Caiyun You
- Department of Ophthalmology, Tianjin Medical University General Hospital, Heping District, Tianjin, China
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Uzakgider NK, Karaca Adiyeke S, Aytogan H. Understanding the Etiopathogenesis of Non-Arteritic Anterior Ischemic Optic Neuropathy with Laboratory Findings. BEYOGLU EYE JOURNAL 2024; 9:8-13. [PMID: 38504965 PMCID: PMC10944851 DOI: 10.14744/bej.2023.09815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 12/04/2023] [Accepted: 12/10/2023] [Indexed: 03/21/2024]
Abstract
Objectives The role of inflammation and hemostasis in non-arteritic anterior ischemic optic neuropathy (NAION) was investigated by examining related blood tests. The predictive values of these laboratory indicators and their effects on prognosis were reviewed. Methods In this study, 48 patients diagnosed with NAION and 50 healthy volunteers were included. All subjects underwent full ophthalmological examination. All patients were treated with oral corticosteroids (methylprednisolone 1 mg/kg/day) for 15 days after that corticosteroid medication was reduced and stopped. Each patient was monitored at least for 12 months. The mean platelet volume (MPV), platelet distribution width (PDW), neutrophil/lymphocyte ratio (NLR), and red cell distribution width (RDW) values were recorded. These findings were compared with control group. Results The mean MPV, RDW, and NLR values were significantly higher in NAION group (respectively, p<0.001, p=0.006, and p<0.001). There was no statistically significant difference between group 1 and group 2 in PDW values, but the mean PDW value was higher in the patient group compared to the control group (p=0.435). Based on the receiver operating characteristic (ROC) curve, the NLR had the strongest predictive value. This was followed by MPV, RDW, and PDW with lower diagnostic predictive values. Conclusion MPV, NLR, and RDW were found to be elevated and have diagnostic predictive values in NAION patients. Easily accessible and simple laboratory methods could help us show systemic inflammation and ischemic events in NAION patients. As a result, inflammatory reactions besides ischemic changes may play a role in the etiopathogenesis of NAION. These biomarkers can be evaluated to ensure that patients with risk factors for the development of NAION.
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Affiliation(s)
- Neslisah Kutlu Uzakgider
- Department of Ophthalmology, University of Health Sciences, Tepecik Training and Research Hospital, Izmir, Turkiye
| | | | - Hasan Aytogan
- Department of Ophthalmology, University of Health Sciences, Tepecik Training and Research Hospital, Izmir, Turkiye
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Zhang J, Liu C, Peng Y, Fang Q, Wei X, Zhang C, Sun L, Hu Z, Hong J, Gu W, Wang W, Shi J, Zhang Y. Impact of baseline and trajectory of the atherogenic index of plasma on incident diabetic kidney disease and retinopathy in participants with type 2 diabetes: a longitudinal cohort study. Lipids Health Dis 2024; 23:11. [PMID: 38212770 PMCID: PMC10782533 DOI: 10.1186/s12944-024-02003-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 01/01/2024] [Indexed: 01/13/2024] Open
Abstract
BACKGROUND Some studies have assessed the predictive role of the atherogenic index of plasma (AIP) for macrovascular diseases. This prospective investigation aimed to elucidate whether AIP is associated with diabetic kidney disease (DKD) and diabetic retinopathy (DR) incidence. METHODS The data were extracted from 4831 participants, of whom 2943 and 3360 participants with type 2 diabetes (T2D) were included in the DKD and DR follow-up analyses, respectively. Cox regression models were performed to test the relationships of AIP value at baseline with the risk of incident DKD and DR. Group-based trajectory modelling was utilized to discern AIP trajectories during the follow-up period. Subsequently, logistic regressions were applied to ascertain the influence of AIP trajectories on the incidence of DKD and DR. RESULTS During the follow-up period, 709 (24.1%) and 193 (5.7%) participants developed DKD and DR, respectively. The median (interquartile range) follow-up time was 24.2 (26.3) months for DKD and 25.7 (27.0) months for DR. According to the multivariate Cox regression models, baseline AIP was positively and linearly related to the occurrence of DKD, with a hazard ratio of 1.75 (95% confidence interval [CI] 1.36-2.26). Three distinct trajectories of AIP were identified throughout the follow-up time: Low (31.4%), Median (50.2%), and High (18.3%). Compared to participants with the Low AIP trajectory, those with High and Median AIP trajectories presented 117% (95% CI: 1.62-2.91) and 84% (95% CI 1.46-2.32) greater odds of developing DKD, respectively. However, neither baseline levels nor trajectories of AIP were shown to be related to DR after adjusting for confounding factors. CONCLUSIONS Baseline levels and trajectories of AIP were independently related to elevated DKD risk, indicating that AIP could be used as a predictor for identifying T2D participants at higher risk of DKD. No association between AIP and DR was detected.
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Affiliation(s)
- Jia Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Cong Liu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Peng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qianhua Fang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xing Wei
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Cui Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lin Sun
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhuomeng Hu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Hong
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqiong Gu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Juan Shi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yifei Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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He X, Luo Y, Hao J, Hu R, Yang X, Ren L. High Atherogenic Risk in Ketosis-Prone Type 2 Diabetic Individuals with Ketosis Episodes: A Cross-Sectional Study. Diabetes Metab Syndr Obes 2023; 16:3085-3094. [PMID: 37818406 PMCID: PMC10561756 DOI: 10.2147/dmso.s421203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Accepted: 09/14/2023] [Indexed: 10/12/2023] Open
Abstract
Purpose Diabetes is an important contributor to the progression of atherosclerosis (AS). We aimed to investigate the correlation between ketosis episodes and lipid-related parameters in patients with new-onset ketosis-prone type 2 diabetes (KPT2D), further attempting to assess the impact of ketosis episodes on AS. Patients and Methods A cross-sectional study of 147 subjects with new-onset diabetes was performed, including 65 KPT2D subjects (KPT2D group) and 82 non-ketotic type 2 diabetes (T2D) (T2D group) subjects. Anthropometric and biochemical parameters were measured in all subjects. Calculation of atherogenic index of plasma (AIP) by traditional lipid parameters. Results The AIP (P = 0.008) level and the percentage of AIP ≥ 0.24 (P = 0.026) in subjects with KPT2D were higher than in subjects with T2D. The apoA1 (P = 0.001) levels were significantly lower in patients with KPT2D than in patients with T2D. In the KPT2D group, plasma ketones were positively correlated with AIP (P = 0.023) and negatively correlated with apoA1 (P = 0.002). Univariate logistic regression suggested that plasma ketone (OR = 1.704, P = 0.040) was an important related factor for the AS in subjects with KPT2D. Multiple linear regression suggested plasma ketone was significantly positive with AIP (β = 0.437, P = 0.020). In multiple linear regression analysis suggests that apolipoprotein A1 (β = -0.335, P = 0.033) is strongly associated with ketotic episodes in newly diagnosed ketosis-prone type 2 diabetic patients. Conclusion Ketosis episodes in patients with KPT2D were significantly and positively associated with elevated AIP levels and reduced apoA1 levels. Frequent ketosis episodes may accelerate the progression of AS.
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Affiliation(s)
- Xiaoyu He
- Graduate School, Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, People’s Republic of China
| | - Yu Luo
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, People’s Republic of China
| | - Jianan Hao
- Graduate School, Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, People’s Republic of China
| | - Rui Hu
- Graduate School, Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, People’s Republic of China
| | - Xiaoyue Yang
- Graduate School, Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, People’s Republic of China
| | - Luping Ren
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, People’s Republic of China
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Eissa MS, Abou-ElEzz S, Kanzel SM, Mady M. Neutrophil-lymphocyte ratio and its relation to microvascular complication in geriatric patients with diabetes: a case-controlled study. THE EGYPTIAN JOURNAL OF INTERNAL MEDICINE 2022. [DOI: 10.1186/s43162-022-00185-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Abstract
Background
Diabetes mellitus is a complex chronic disease characterized by chronic hyperglycemia resulting from defective insulin secretion, defective insulin action, or both. Chronic hyperglycemia related to diabetes can lead to end-organ dysfunction or failure, and changes related to diabetes involving arterioles and capillaries are responsible for long-term microvascular complications in diabetic patients. The neutrophil-to-lymphocyte ratio (NLR) is a novel, simple, and inexpensive marker of subclinical inflammation.
Aim of work
To evaluate the possibility that neutrophil-lymphocyte ratio (NLR) could be used as a predictor of microvascular complications during follow-up of elderly patients with type 2 diabetes.
Patients and methods
Sixty elderly diabetes patients ≥ 65 years old, diagnosed 16 according to ADA criteria, were collected from the endocrine clinic in Kasr El-Ainy Hospital. For every patient, full history and examination were done (including 18 neurological and fundus examinations). Labs (CBC with a differential in blood and 19 albumin/creatinine ratio in urine) were done and the neutrophil/lymphocyte ratio.
Results
We found that NLR has a statistically significant difference in the detection of nephropathy and retinopathy. There is a significant correlation between nephropathy and NL ratio in all patients (r = 0.44, P < 0.001). Elderly diabetic patients (with or without hypertension) with microvascular complications had a higher NLR value than those without complications.
Conclusion
NLR value can be used as a non-invasive simple marker for predicting microvascular complications in elderly diabetics with/without hypertension.
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Maravilla Domínguez MA, Zermeño González MDL, Zavaleta Muñiz ER, Montes Varela VA, Irecta Nájera CA, Fajardo Robledo NS, Zavaleta Muñiz SA. Inflammation and atherogenic markers in patients with type 2 diabetes mellitus. CLINICA E INVESTIGACION EN ARTERIOSCLEROSIS : PUBLICACION OFICIAL DE LA SOCIEDAD ESPANOLA DE ARTERIOSCLEROSIS 2022; 34:105-112. [PMID: 34090713 DOI: 10.1016/j.arteri.2021.03.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 03/10/2021] [Accepted: 03/15/2021] [Indexed: 01/18/2023]
Abstract
Type two diabetes mellitus (T2DM) is characterized by a chronic inflammation status. Altered markers such as lipid concentrations are usually found in this disease. Elevated inflammation markers have been described such as cytokines (interleukin 6, tumour necrosis factor-alpha, and IL-8). However, there is a lack of information about the behaviour of the neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), lymphocyte-monocyte ratio (LMR), lipid coefficients, and atherogenic index in T2DM. OBJECTIVE To describe the atherogenic and inflammation parameters in a group of patients with T2DM. MATERIALS AND METHODS 42 patients with T2DM were included, all patients were surveyed on clinic history (disease history, comorbidity, smoking, and other relevant variables), measurements of haematological, biochemical, and anthropometric parameters were taken and atherogenic coefficients and inflammation ratios were calculated. RESULTS Inflammation markers such as interleukin 6 and 8, necrosis tumour factor, and NLR were elevated. Of the patients, 88% were classified as high risk according to the atherogenic index. Former smokers had lower levels of IL-8 and higher NLR than non-smokers. CONCLUSION The atherogenic and inflammation markers such as atherogenic index, IL-8, and NLR make it possible to identify a subgroup of patients that are at risk of severe complications and mortality.
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Affiliation(s)
| | - María de Lourdes Zermeño González
- Unidad Médica Especializada en Enfermedades Crónicas, Lerdo, Durango, México; Hospital General de Zona # 46, Instituto Mexicano del Seguro Social, Gómez Palacio, Durango, México
| | | | | | - Cesar Antonio Irecta Nájera
- El Colegio de la Frontera Sur, Unidad Villahermosa Tabasco, Departamento de Salud, Villa Hermosa, Tabasco, México
| | - Nicté Selene Fajardo Robledo
- Laboratorio de Investigación y Desarrollo Farmacéutico, Centro Universitario de Ciencias Exactas e Ingenierías, Universidad de Guadalajara, Guadalajara, Jalisco, México
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Xu J, Zhou H, Xiang G. Association of Atherogenic Index of Plasma With Retinopathy and Nephropathy in Adult Patients With Type 2 Diabetes Mellitus Aged > 18 Years. Can J Diabetes 2022; 46:S1499-2671(22)00092-2. [PMID: 35927171 DOI: 10.1016/j.jcjd.2022.04.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Revised: 04/12/2022] [Accepted: 04/24/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVES In this study we assessed the atherogenic index of plasma (AIP) in relation to retinopathy and nephropathy in patients with type 2 diabetes mellitus (T2DM). METHODS In this cross-sectional study there were 4,358 inpatients with T2DM. The patients were divided into 4 groups: T2DM without complications (DM group), T2DM complicated with retinopathy alone and nephropathy alone (DR-alone and DN-alone groups) and T2DM complicated with both DR and DN (DRN group). AIP was calculated by the formula of log [triglyceride / high-density lipoprotein cholesterol]. RESULTS AIPs in the DR-alone, DN-alone and DRN groups were significantly higher than in the DM group, with the DRN group having the highest AIP level. Moreover, patients with proliferative DR had higher AIPs than patients with nonproliferative DR in the DR-alone and DRN groups, and patients with macroalbuminuria had higher AIPs than patients with microalbuminuria in DN-alone and DRN groups. The highest AIP quartile group had the highest proportion of DRN compared with the other quartile groups. The DRN group had a maximal area under the curve (AUC) for AIP on receiver operating characteristic curve analysis (AUC=0.735). In the subgroup analyses by age, the AUCs of patients <65 years of age were all greater than those of patients ≥65 years of age. Logistic regression analysis showed that AIP had the highest correlation with age <65 years in individuals with DRN, and this association remained significant after adjustment with 3 models. CONCLUSIONS AIP is positively associated with both occurrence and severity of diabetic microvascular complications. It can predict their presence in T2DM, especially in those <65 years of age with DRN.
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Affiliation(s)
- Jinling Xu
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China; Department of Endocrinology, General Hospital of Central Theater Command, Wuhan, Hubei, China
| | - Hui Zhou
- Department of General Surgery, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Guangda Xiang
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China; Department of Endocrinology, General Hospital of Central Theater Command, Wuhan, Hubei, China.
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Namitha D, Nusrath A, Asha Rani N, Dhananjaya SY, Lokanathan TH, Kruthi B, Vijay Kumar A. Role of Lipid Indices in the Assessment of Microvascular Risk in Type 2 Diabetic Retinopathy Patients. Cureus 2022; 14:e23395. [PMID: 35481317 PMCID: PMC9033511 DOI: 10.7759/cureus.23395] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/22/2022] [Indexed: 11/29/2022] Open
Abstract
Introduction: Diabetic retinopathy (DR) remains the leading cause of blindness and visual impairment in diabetic patients worldwide. Lipid indices (LI) such as atherogenic coefficient (AC), atherogenic index of plasma (AIP), non-high-density lipoprotein cholesterol (non-HDL-C), and Castelli risk index (CRI) I and II may be associated with bio-physiological changes of DR even when traditional lipids are within normal limit. Hence, the present study was undertaken to evaluate the LI and examine the LI predictive role in assessing the microvascular risk in diabetes patients with and without retinopathy. Methodology: This case-control study was conducted for six months at a tertiary care hospital and included 90 subjects divided into three groups. Group I had 30 age and sex-matched healthy controls; group II and group III had 30 type 2 diabetes mellitus (T2DM) cases without DR and with DR, respectively. Plasma glucose and lipid profiles including apolipoprotein A-I (Apo A-I) and apolipoprotein B (Apo B) were measured in all subjects. LI such as AIP, AC, CRI-I, CRI-II, and non-HDL-C were calculated from the lipid profile values. ANOVA test was used to compare the means of three groups. Results: The mean age of the study participants was 51.44 ± 11.72, 53.95 ± 12.43, and 57.16 ± 7.96 years for groups I, II, and III, respectively. Triacylglycerol (TG) showed positive correlation with all LI, AIP (r = 0.768, p < 0.00001), AC (r = 0.363, p = 0.048), non-HDL-C (r = 0.372, p = 0.042), and CRI-I (r = 0.363, p = 0.048), except for CRI-II in group III. Low-density lipoprotein cholesterol (LDL-C) showed a statistically significant positive correlation with non-HDL-C and CRI-II in diabetic subjects with and without retinopathy. Conclusion: The study showed that LI were raised in diabetic patients with or without DR, suggesting the significant role of LI in assessing microvascular risk in T2DM, particularly when the lipid profile values seem to be normal or not disturbed markedly.
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Karagöz IK, Karagöz A, Özkalaycı F, Doğan C, Kocabay G, Elbay A. Relation Between Platelet Reactivity Levels and Diabetic Retinopathy Stage in Patient with Type 2 Diabetes Mellitus by Using Multiplate Whole Blood Aggregometry. Semin Ophthalmol 2021; 36:392-399. [PMID: 33755523 DOI: 10.1080/08820538.2021.1893759] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Purpose: To test the hypothesis of a possible association between platelet reactivity and the severity of diabetic retinopathy using Multiplate whole blood aggregometry in type 2 diabetes mellitus patients. Methods: Of 157 patients were divided to three groups based on the severity of diabetic retinopathy (normal, non-proliferative and proliferative [ordinal among group 1-2-3]). Platelet reactivity was measured using arachidonic acid response to the ASPI and ADP platelet test. The association between DR stage and the degree of platelet reactivity (predictor variable) ASPI, ADP, systolic blood pressure, age, hypertension, body mass index (BMI), HbA1c, creatinine, Microalbumin, platelet, triglyceride/HDL and Hscrp variables were evaluated using ordinal logistic regression models (Model 1). The association between DR presence (outcome variable (group 1 vs group 2 and 3)) and the presence of variables was evaluated using binary logistic regression models (Model 2). Results: A comparison of the laboratory parameters of the three groups revealed that the ASPI, ADP, glucose and HbA1c values were significantly higher in Group-3 than Group-1. ASPI (odds-ratio OR: 1.044[1.021-1.09], p < .001], ADP (OR: 1.033[1.010-1.10], p: 0.002] and HbA1c (OR: 2.42(1.22, 4.94), p < .001) were demonstrated to be associated with stage of DR while the other variables were not. In binary logistic regression (model-2) analysis; ASPI (OR: 1.061[1.031-1.1], p < .001], ADP (OR: 1.03(1.01, 1.06), p: 0.045] and HbA1c (OR: 4.37 (1.67, 11.36)], p: 0.002) were associated with DR while the other variables were not. Conclusion: Herewith, we demonstrated that higher platelet reactivity measured by multiplate ASPI and ADP was significantly associated with stages of DR. Therefore, these measurements may be useful to predict the severity of DR in the clinical practice of physicians.
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Affiliation(s)
- Işıl Kutlutürk Karagöz
- Health and Science University, Ümraniye Training Research and Education Hospital, Eye Clinic, Istanbul, Turkey
| | - Ali Karagöz
- Health Science University Kartal Kosuyolu High Training Research and Education Hospital. Kartal, Istanbul, Turkey
| | - Flora Özkalaycı
- Health Science University Kartal Kosuyolu High Training Research and Education Hospital. Kartal, Istanbul, Turkey
| | - Cem Doğan
- Health Science University Kartal Kosuyolu High Training Research and Education Hospital. Kartal, Istanbul, Turkey
| | - Gonenc Kocabay
- Health Science University Kartal Kosuyolu High Training Research and Education Hospital. Kartal, Istanbul, Turkey
| | - Ahmet Elbay
- Bezmialem University. Fatih Eye Clinic,Istanbul,Turkey
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10
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Ji S, Ning X, Zhang B, Shi H, Liu Z, Zhang J. Platelet distribution width, platelet count, and plateletcrit in diabetic retinopathy: A systematic review and meta-analysis of PRISMA guidelines. Medicine (Baltimore) 2019; 98:e16510. [PMID: 31335726 PMCID: PMC6708780 DOI: 10.1097/md.0000000000016510] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Screening and diagnosis of diabetic retinopathy (DR) mainly depends on fundus examination, which is not an intuitive and simple screening or diagnostic method. Recently, the relationship between platelet parameters and DR has become a hot topic. Whether platelet parameters have clinical value in DR is controversial. METHODS Literature was retrieved by formal search of electronic databases (PubMed, Embase, Cochrane library, Scopus, and CNKI) and by hand searching of reference lists of related articles from the beginning of building database to December 2017. Review manager 5.3 was utilized to deal with statistical data. This study was registered at International Prospective Register of Systematic Reviews (number: CRD42018093773). RESULTS This study included 1720 DR patients, 1477 type 2 diabetic mellitus (T2DM) without DR patients and 1456 health controls in 21 eligible studies. We found there was significant increase of platelet distribution width (PDW) level in the comparison of DR versus Control group (standard mean difference [SMD] [95% confidence interval [CI]] = 1.04 [0.68, 1.40]) and DR versus T2DM without DR group (SMD [95% CI] = 0.68 [0.40, 0.95]). For platelet count (PLT), it showed obvious decrease in the comparison of DR versus T2DM without DR group (SMD [95% CI] = -0.26 [-0.49, -0.03]) and no difference in comparison of DR versus Control (SMD [95% CI] = -0.26 [-0.51, -0.00]). Subgroup analysis showed that significant result of PDW level appeared in China and Turkey in all comparisons, while similar results of PLT only in China. In addition, PDW level was different in various DR-subtypes, obvious high level in proliferation DR. CONCLUSIONS We concluded that the guiding significance of PDW and PLT in diagnosis and monitor of DR, and especially, application of PDW to PDR management may have potential sense.
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Affiliation(s)
- Shuaifei Ji
- Department of Ophthalmology, Tangdu Hospital
| | - Xiaona Ning
- Department of Ophthalmology, Tangdu Hospital
| | - Babo Zhang
- School of Basic Medicine, The Fourth Military Medical University, Xian, Shaanxi, China
| | - Heng Shi
- School of Basic Medicine, The Fourth Military Medical University, Xian, Shaanxi, China
| | - Zheng Liu
- School of Basic Medicine, The Fourth Military Medical University, Xian, Shaanxi, China
| | - Jie Zhang
- Department of Ophthalmology, Tangdu Hospital
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11
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Luo WJ, Zhang WF. The relationship of blood cell-associated inflammatory indices and diabetic retinopathy: a Meta-analysis and systematic review. Int J Ophthalmol 2019; 12:312-323. [PMID: 30809490 DOI: 10.18240/ijo.2019.02.20] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2018] [Accepted: 08/02/2018] [Indexed: 12/17/2022] Open
Abstract
AIM To explore the correlation between several blood cell-associated inflammatory indices including mean platelet volume (MPV), platelet distribution width (PDW), neutrophil to lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR), and the presence and severity of diabetic retinopathy (DR). METHODS We searched for eligible studies from PubMed, EMBASE, Web of Science and CNKI up to December 13, 2017. Standardized mean difference (SMD) calculated with confidence interval (CI) of 95% was used to estimate the values of those indices. RESULTS A total of 31 studies were included in the present Meta-analysis. As compared with type 2 diabetes mellitus (T2DM) patients without DR, the values of MPV, PDW, NLR, and PLR were higher in patients with DR (SMD=0.67; 95%CI: 0.36 to 0.98; SMD=0.51; 95%CI: 0.27 to 0.75; SMD=0.77; 95%CI: 0.49 to 1.05 and SMD=1.18; 95%CI: 0.07 to 2.28). Additionally, it was also observed that MPV was closely correlated with the severity of DR. CONCLUSION MPV, PDW, NLR, and PLR could be recommended as diagnostic biomarkers for DR, and MPV could be applied to assess the severity of DR.
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Affiliation(s)
- Wen-Juan Luo
- Department of Ophthalmology, Lanzhou University Second Hospital, Lanzhou 730000, Gansu Province, China
| | - Wen-Fang Zhang
- Department of Ophthalmology, Lanzhou University Second Hospital, Lanzhou 730000, Gansu Province, China
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12
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Aouiss A, Anka Idrissi D, Kabine M, Zaid Y. Update of inflammatory proliferative retinopathy: Ischemia, hypoxia and angiogenesis. Curr Res Transl Med 2019; 67:62-71. [PMID: 30685380 DOI: 10.1016/j.retram.2019.01.005] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 12/19/2018] [Accepted: 01/16/2019] [Indexed: 02/06/2023]
Abstract
Diabetic retinopathy (DR) and retinopathy of prematurity (ROP) present two examples of proliferative retinopathy, characterized by the same stages of progression; ischemia of the retinal vessels, leads to hypoxia and to correct the problem there is the setting up of uncontrolled angiogenesis, which subsequently causes blindness or even detachment of the retina. The difference is the following; that DR initiated by the metabolic complications that are due to hyperglycemia, and ROP is induced by overexposure of the neonatal retina to oxygen. In this review, we will demonstrate the physiopathological mechanism of the two forms of proliferative retinopathy DR and ROP, in particular the role of the CD40/CD40L axis and IL-1 on vascular complications and onset of inflammation of the retina, the implications of their effects on the onset of pathogenic angiogenesis, thus understanding the link between platelets and retinal ischemia. In addition, what are the therapeutic targets that could slow its progression?
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Affiliation(s)
- A Aouiss
- Laboratory of Health and Environment, Department of Biology, Faculty of Sciences Ain Chock, University of Hassan II, Casablanca, Morocco.
| | - D Anka Idrissi
- Laboratory of Health and Environment, Department of Biology, Faculty of Sciences Ain Chock, University of Hassan II, Casablanca, Morocco
| | - M Kabine
- Laboratory of Health and Environment, Department of Biology, Faculty of Sciences Ain Chock, University of Hassan II, Casablanca, Morocco
| | - Y Zaid
- Laboratory of Thrombosis and Hemostasis, Montreal Heart Institute, Montreal, H1T1C8, Quebec, Canada
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13
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Ji S, Zhang J, Fan X, Wang X, Ning X, Zhang B, Shi H, Yan H. The relationship between mean platelet volume and diabetic retinopathy: a systematic review and meta-analysis. Diabetol Metab Syndr 2019; 11:25. [PMID: 30911336 PMCID: PMC6417244 DOI: 10.1186/s13098-019-0420-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Accepted: 03/02/2019] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Diabetic retinopathy (DR) is one of the most common diseases causing blindness in the world, and most patients are already in advanced stage. Recent years, many studies reported mean platelet volume (MPV) may be associated with development of DR, but there was no consistent conclusion reached. METHODS Literature was retrieved by formally searching PubMed, Embase, Cochrane library and Scopus and by hand searching of reference lists of related articles. Finally, a total of 14 literatures included, and Review manager 5.3 and STATA 14.0 statistical software were utilized for processing. RESULTS Meta-analysis showed that MPV values in DR were significantly higher than health controls [SMD (95% CI) = 0.92 (0.60-1.24)] and type 2 diabetes mellitus without diabetic retinopathy (T2DM without DR) [SMD (95% CI) = 0.36 (0.19-0.53)]. Subgroup analysis indicated that MPV level in proliferative diabetic retinopathy (PDR) patients was higher than T2DM without DR patients [SMD (95% CI) = 0.48 (0.28, 0.68)], but this difference didn't appear in non-proliferative diabetic retinopathy (NPDR). CONCLUSIONS The study demonstrated that increased MPV level was significant associated with the development of DR, and it might reflect the severity of DR, which could be provided to monitor development and progression of DR clinically.
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Affiliation(s)
- ShuaiFei Ji
- Department of Ophthalmology, Tangdu Hospital, the Fourth Military Medical University, Xian, 710038 Shaanxi People’s Republic of China
| | - Jie Zhang
- Department of Ophthalmology, Tangdu Hospital, the Fourth Military Medical University, Xian, 710038 Shaanxi People’s Republic of China
| | - XiuDe Fan
- Department of Infectious Diseases, First Affiliated Hospital of Xian Jiaotong University, Xian, 710061 Shaanxi People’s Republic of China
| | - XiQiang Wang
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xian Jiaotong University, Xian, 710061 Shaanxi People’s Republic of China
| | - XiaoNa Ning
- Department of Ophthalmology, Tangdu Hospital, the Fourth Military Medical University, Xian, 710038 Shaanxi People’s Republic of China
| | - BaBo Zhang
- Department of Ophthalmology, Tangdu Hospital, the Fourth Military Medical University, Xian, 710038 Shaanxi People’s Republic of China
| | - Heng Shi
- Department of Ophthalmology, Tangdu Hospital, the Fourth Military Medical University, Xian, 710038 Shaanxi People’s Republic of China
| | - Hong Yan
- Department of Ophthalmology, Tangdu Hospital, the Fourth Military Medical University, Xian, 710038 Shaanxi People’s Republic of China
- Department of Ophthalmology, Xi’an No. 4 Hospital, Shaanxi Eye Hospital, Affiliated Guangren Hospital School of Medicine, Xi’an Jiaotong University, Xian, 710004 Shaanxi China
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14
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Al Saudi RM, Kasabri V, Naffa R, Bulatova N, Bustanji Y. Glycated LDL-C and glycated HDL-C in association with adiposity, blood and atherogenicity indices in metabolic syndrome patients with and without prediabetes. Ther Adv Endocrinol Metab 2018; 9:311-323. [PMID: 30327717 PMCID: PMC6178372 DOI: 10.1177/2042018818788198] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Accepted: 06/19/2018] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND The aim of the study was to compare and correlate glycated high-density lipoprotein (GHDL-C) and glycated low-density lipoprotein (GLDL-C) plasma levels with adiposity indices [weight/hip ratio (WHR) and body adiposity index (BAI)], lipid ratios and hematological indices [platelet/lymphocyte ratio (PLR), monocyte/lymphocyte ratio (MLR)]. METHODS This was a cross-sectional study of 30 nondiabetic metabolic syndrome (MetS) patients, 30 prediabetic or type 2 diabetes mellitus (T2DM) patients and 30 normoglycemic controls. RESULTS Remarkably both GHDL-C and GLDL-C levels lacked any intergroup statistically significant discrepancy in either MetS or MetS-pre/T2DM versus control (p > 0.05). Unlike GLDL-C/LDL-C ratios for either MetS groups; there were highly significant intergroup differences in the means of GHDL-C/HDL-C ratios when comparing both nondiabetic MetS and MetS-pre/T2DM groups versus controls (p = 0.001). In MetS patients; GHDL-C and GLDL-C proportionally correlated with WHR (p < 0.05). Also, MetS GHDL-C correlated inversely with MLR and monocytes (p < 0.05). In MetS-pre/T2DM; GLDL-C directly correlated with BAI, platelet count and PLR (p < 0.05). CONCLUSION GLDL-C and GHDL-C are dysfunctional glucolipotoxicity lipoproteins and may present putatively surrogate biomarkers for prediction/prevention of metabolic disturbances.
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Affiliation(s)
| | - Violet Kasabri
- School of Pharmacy, The University of Jordan,
Queen Rania Street, Amman 11942, Jordan
| | - Randa Naffa
- School of Medicine, The University of Jordan,
Queen Rania Street, Amman, Jordan
| | - Nailya Bulatova
- School of Pharmacy, The University of Jordan,
Queen Rania Street, Amman, Jordan
| | - Yasser Bustanji
- School of Pharmacy, The University of Jordan,
Queen Rania Street, Amman, Jordan
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15
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Abushahla HS, Bulatova N, Kasabri V, Naffa R. Correlates of ghrelin and visfatin in metabolic syndrome patients with and without prediabetes. Int J Diabetes Dev Ctries 2018. [DOI: 10.1007/s13410-018-0654-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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16
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The association of neutrophil to lymphocyte ratio, mean platelet volume, and platelet distribution width with diabetic retinopathy and nephropathy: a meta-analysis. Biosci Rep 2018; 38:BSR20180172. [PMID: 29581246 PMCID: PMC6019380 DOI: 10.1042/bsr20180172] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 03/13/2018] [Accepted: 03/26/2018] [Indexed: 01/02/2023] Open
Abstract
The aim of the present study was to investigate the correlation of neutrophil to lymphocyte ratio (NLR), mean platelet volume (MPV), and platelet distribution width (PDW) with diabetic nephropathy (DN) and diabetic retinopathy (DR). We searched for eligible studies from PubMed, Embase, Web of Science, and CNKI up to 1 December 2017. Standardized mean difference (SMD) was calculated with a confidence interval (CI) of 95%. A total of 48 studies were included in our meta-analysis. Compared with patients with type Ⅱ diabetes mellitus (T2DM) and without DR, NLR, MPV, and PDW were higher in patients with DR (SMD = 0.77; 95% CI: 0.49-1.05; P<0.001; SMD = 0.68; 95% CI: 0.36-0.99; P<0.001; SMD = 0.52; 95% CI: 0.28-0.76; P<0.01). Compared with patients with T2DM and without DN, NLR, MPV, and PDW were higher in patients with DN (SMD = 0.63; 95% CI: 0.43-0.83; P<0.001; SMD = 0.81; 95% CI: 0.36-1.25; P<0.001; SMD = 0.70; 95% CI: 0.50-0.90; P<0.001). We also found that MPV was strongly associated with the severity of DR, and NLR was closely related to the degree of DN. Our findings indicated that NLR, MPV, and PDW could be recommended as inexpensive diagnostic biomarkers for DN and DR. However, considering several limitations in the present study, further high-quality clinical studies should be performed to investigate the relationship of NLR, MPV, and PDW to DN and DR.
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Li Z, Huang Q, Sun L, Bao T, Dai Z. Atherogenic Index in Type 2 Diabetes and Its Relationship with Chronic Microvascular Complications. Int J Endocrinol 2018; 2018:1765835. [PMID: 30627157 PMCID: PMC6304911 DOI: 10.1155/2018/1765835] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 10/06/2018] [Accepted: 10/18/2018] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE This study was designed to investigate risk factors related to atherogenic index of plasma (AIP), as well as the relationship between AIP and chronic microvascular complications in patients with type 2 diabetes (T2DM). METHODS This study included 2523 patients with T2DM who had not been treated with lipid-lowering drugs and were admitted to the Department of Endocrinology at Zhongnan Hospital, Wuhan University, during the period from January 2015 to February 2018. Anthropometric indicators were measured after overnight fasting. Low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), and triglyceride (TG) were detected by enzymatic analysis. Standard 75 g oral glucose tolerance testing was performed to measure 0 and 2 hr plasma levels of glucose and insulin. Insulin sensitivity was assessed with HOMA-IR. RESULTS Increase in AIP was associated with an increased risk for hypertension (P < 0.05), HbA1c (P < 0.05), HOMA-IR (P < 0.05), UA (P < 0.05), and decreased eGFR levels (P < 0.05). Furthermore, AIP values directly correlated with BMI (r = 0.182, P < 0.001), waist circumference (r = 0.129, P < 0.001), blood glucose index (FBG (r = 0.153, P < 0.001), PPBG (r = 0.117, P < 0.001), and HbA1c (r = 0.074, P < 0.001)), insulin resistance (HOMA-IR; r = 0.112, P < 0.001), and uric acid (UA, r = 0.177, P < 0.001). Multiple logistic regression analysis showed that waist circumference, HOMA-IR, FBG, systolic blood pressure, and UA were independent risk factors for AIP (all P < 0.05). The prevalence of diabetic neuropathy and metabolic syndrome was significantly higher among patients with higher AIP. CONCLUSION AIP represents a clinically convenient indicator for the detection of T2DM with high risk of complications and associated diseases and thus is a good predictor and indicator for follow-up monitoring in the treatment of patients with high-risk type 2 diabetes.
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Affiliation(s)
- Zhen Li
- Department of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Qi Huang
- Department of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Li Sun
- Department of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Tengfei Bao
- Department of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Zhe Dai
- Department of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
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18
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Akdogan M, Demirag DA, Varal IG, Cevik SG, Ustundag Y. Haemogram Parameters in the Development of Retinopathy of Prematurity. ACTA ACUST UNITED AC 2018. [DOI: 10.4236/ojoph.2018.82011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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