1
|
Merayo-Chalico J, Apodaca E, Barrera-Vargas A, Alcocer-Varela J, Colunga-Pedraza I, González-Patiño A, Arauz A, Abud-Mendoza C, Martínez-Martínez M, Gómez-Martín D. Clinical outcomes and risk factors for posterior reversible encephalopathy syndrome in systemic lupus erythematosus: a multicentric case-control study. J Neurol Neurosurg Psychiatry 2016; 87:287-94. [PMID: 25804426 DOI: 10.1136/jnnp-2014-310145] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2014] [Accepted: 03/02/2015] [Indexed: 01/19/2023]
Abstract
BACKGROUND Posterior reversible encephalopathy syndrome (PRES) is a well-known but rare complication in patients (<1%) with systemic lupus erythematosus (SLE). However, current epidemiological data are quite scant. The aim of the present study was to describe potentially unrecognised risk factors. PATIENTS AND METHODS We performed a multicentre, retrospective case-control study in Mexico between 1999 and 2014. We included a total of 168 patients who accounted for 77 episodes of PRES, as follows: SLE/PRES, 43 patients with 48 episodes; SLE without PRES, 96 patients; and PRES without SLE, 29 patients. SLE diagnosis was considered when patients fulfilled ≥4 American College of Rheumatology criteria. PRES was defined by reversible neurological manifestations and MRI changes. RESULTS Patients with SLE/PRES were younger, presented with seizures as the most common manifestation (81%) and 18% had the typical occipital MRI finding. Hypertension (OR=16.3, 95% CI 4.03 to 65.8), renal dysfunction (OR=6.65, 95% CI 1.24 to 35.6), lymphopenia (OR=5.76, 95% CI 1.36 to 24.4), Systemic Lupus Erythematosus Activity Index ≥ 6 points (OR=1.11, 95% CI 1.01 to 1.22) and younger age (OR=0.86, 95% CI 0.81 to 0.91, p<0.001) were independent risk factors for development of PRES in SLE. Furthermore, dyslipidemia also characterised the association between PRES and SLE (OR=10.6, 95% CI 1.17 to 96.4). CONCLUSIONS This is the largest reported series of patients with SLE and PRES. We were able to corroborate the known risk factors for of PRES, and found two previously undescribed factors (lymphopenia and dyslipidemia), which suggests that endothelial dysfunction is a key element in PRES pathogenesis in lupus patients.
Collapse
Affiliation(s)
- Javier Merayo-Chalico
- Department of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Elia Apodaca
- Department of Internal Medicine, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Ana Barrera-Vargas
- Department of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Jorge Alcocer-Varela
- Department of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Iris Colunga-Pedraza
- Department of Rheumatology, Hospital Universitario Dr José E González, Monterrey, Nuevo León, Mexico
| | - Alejandra González-Patiño
- Stroke Clinic, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Mexico City, Mexico
| | - Antonio Arauz
- Stroke Clinic, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Mexico City, Mexico
| | - Carlos Abud-Mendoza
- Regional Unit of Rheumatology and Osteoporosis, Hospital Central Dr Ignacio Morones Prieto, San Luis Potosí, Mexico
| | - Marco Martínez-Martínez
- Regional Unit of Rheumatology and Osteoporosis, Hospital Central Dr Ignacio Morones Prieto, San Luis Potosí, Mexico
| | - Diana Gómez-Martín
- Department of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| |
Collapse
|
2
|
Li S, Zhang Y, Guo YL, Zhu CG, Wu NQ, Qing P, Gao Y, Sun J, Liu G, Dong Q, Li JJ. Effect of glycemic and lipid achievements on clinical outcomes type 2 diabetic, Chinese patients with stable coronary artery disease. J Diabetes Complications 2016; 30:115-20. [PMID: 26481154 DOI: 10.1016/j.jdiacomp.2015.09.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2015] [Revised: 09/18/2015] [Accepted: 09/23/2015] [Indexed: 11/17/2022]
Abstract
AIMS To describe the effect of glycemic and lipid achievements and their joint roles in future major adverse cardiovascular events (MACEs) prediction. METHODS One thousand two hundred sixty consecutive, type 2 diabetic patients with stable coronary artery disease (CAD) were identified, they were followed up a median of 24.07months. RESULTS At baseline, 85.4% of patients with blood pressure less than 140/90mmHg, while only a minority of patients met guideline-recommended hemoglobin A1C (HbA1C) (44.2%), low-density lipoprotein cholesterol (LDL-C) (24.7%), non high-density lipoprotein cholesterol (NHDL-C) (36.3%), or apolipoprotein B (apoB) levels (38.6%). After follow-up, patients achieving either glycemic or lipid goals experienced a lower rate of future events (HbA1C 35.4%, LDL-C 19.3%, NHDL-C 30.4%, apoB 26.7%). Dual-goal achievements of HbA1C and lipids showed the lowest event risk (adjusted relative risk, RR: HbA1C, 0.92 vs. LDL-C 0.75 vs. dual 0.27; HbA1C, 0.86 vs. NHDL-C 0.59 vs. dual 0.44; HbA1C, 0.74 vs. apoB 0.64 vs. dual 0.55). Patients with suboptimal goals (LDL-C 1.8-2.5mmol/L, NHDL-C 2.5-3.4mmol/L, or apoB 0.8-1.0g/L) were at risk when compared to those with guideline-recommended goals. CONCLUSIONS Dual-achievement of glycemic and lipid goals based on a relative well-controlled condition of blood pressure conferred a better prognosis in type 2 diabetic patients with CAD.
Collapse
Affiliation(s)
- Sha Li
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Yan Zhang
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Yuan-Lin Guo
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Cheng-Gang Zhu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Na-Qiong Wu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Ping Qing
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Ying Gao
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Jing Sun
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Geng Liu
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Qian Dong
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China
| | - Jian-Jun Li
- Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
| |
Collapse
|
3
|
de Souza Schmidt Gonçalves AE, Lellis-Santos C, Curi R, Lajolo FM, Genovese MI. Frozen pulp extracts of camu-camu ( Myrciaria dubia McVaugh) attenuate the hyperlipidemia and lipid peroxidation of Type 1 diabetic rats. Food Res Int 2014; 64:1-8. [DOI: 10.1016/j.foodres.2014.05.074] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2014] [Revised: 05/12/2014] [Accepted: 05/29/2014] [Indexed: 10/25/2022]
|
4
|
ALHreashy FA, Mobierek AF. Prescription Practice for Diabetes Management among a Female Population in Primary Health Care. INTERNATIONAL JOURNAL OF FAMILY MEDICINE 2014; 2014:103853. [PMID: 24778876 PMCID: PMC3980783 DOI: 10.1155/2014/103853] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2013] [Accepted: 02/13/2014] [Indexed: 06/03/2023]
Abstract
Introduction. Prescription for diabetes care is an important practice in primary care. Methods. This is a descriptive study carried out on at primary care clinics over a five-month period at Al Imam Medical Complex, Riyadh, Saudi Arabia. It was cross-sectional study of 160 female diabetic patients, who visited the services between January and May, 2012. Data were collected from the medical records on the clinical characteristics and drugs prescribed for their diabetic management. Results. The majority of the sample population (82%) was older than 40 years old. Half of them had concomitant hypertension, hyperlipidemia, and obesity. There were 500 prescriptions for diabetes management. More than 57% of participants were on two or more drugs for hyperglycemia. Metformin was the most common drug prescribed. Metformin and sulphonylurea were the most common combined medications. Most of cases ( 70%) were on a combination of antihypertensive drugs. ACE or ARBs and diuretic was the most common combined prescriptions. Statins and aspirin were used by 41% and 23.8% of the research population, respectively. Conclusion. Polypharmacy is a feature in diabetes care. Most of the prescription practice for diabetic care follows the recommended guidelines for hyperglycemia and hypertension. Management of dyslipidemia among diabetic patients, however, is an area that needs to be developed.
Collapse
Affiliation(s)
| | - Abdulelah F. Mobierek
- King Fahad Cardiac Center, King Khalid Hospital, Medical College, King Saud University, P.O. Box 93254 Riyadh, Saudi Arabia
| |
Collapse
|
5
|
Abstract
Patients with diabetes mellitus are at increased risk of cardiovascular disease (CVD). Dyslipidemia, an important component of the insulin resistance syndrome and type 2 diabetes, is strongly related to CVD risk and is open to therapeutic intervention. Statins have proved to be safe, very-well tolerated, and highly effective in reducing the levels of LDL cholesterol and apolipoprotein B. Primary and secondary CVD prevention trials have shown that use of statins leads to highly significant reductions in the incidence of major CVD events. A wealth of data on the outcomes of statin therapy is now available to guide clinical practice in the population of patients with type 2 diabetes. Statin therapy in patients with type 1 diabetes seems to have a similar benefit to that seen in patients with type 2 diabetes. However, despite statin therapy, high CVD risk persists in these populations. More-intensive statin therapy produces greater reduction in the incidence of CVD events, but a more-global approach to lipid management is likely to result in further risk reduction. After reductions in the levels of LDL cholesterol and apolipoprotein B, the next target of lipid-lowering therapy is to increase HDL-cholesterol levels, which tend to be low in patients with type 2 diabetes. The most effective HDL-cholesterol-raising agent currently available for use in clinical practice is niacin. Trials with surrogate end points have pointed to the cardiovascular benefit of adding niacin to statin therapy. Large CVD end point trials, which include many patients with diabetes, are underway to test the combination of a statin and niacin versus a statin alone.
Collapse
|
6
|
McFarlane SI, McCullough PA, Sowers JR, Soe K, Chen SC, Li S, Vassalotti JA, Stevens LA, Salifu MO, Kurella Tamura M, Bomback AS, Norris KC, Collins AJ, Bakris GL, Whaley-Connell AT. Comparison of the CKD Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) study equations: prevalence of and risk factors for diabetes mellitus in CKD in the Kidney Early Evaluation Program (KEEP). Am J Kidney Dis 2011; 57:S24-31. [PMID: 21338847 PMCID: PMC3237700 DOI: 10.1053/j.ajkd.2010.11.009] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2010] [Accepted: 11/08/2010] [Indexed: 11/11/2022]
Abstract
BACKGROUND Diabetes is a leading cause of chronic kidney disease (CKD). Whether reclassification of CKD stages based on glomerular filtration rate estimated using the CKD Epidemiology Collaboration (CKD-EPI) equation versus the Modification of Diet in Renal Disease (MDRD) Study equation modifies estimates of prevalent risk factors across stages is unknown. METHODS This is a cross-sectional analysis of data from the Kidney Early Evaluation Program (KEEP), a community-based health screening program targeting individuals 18 years and older with diabetes, hypertension, or a family history of diabetes, hypertension, or kidney disease. Of 109,055 participants, 68.2% were women and 31.8% were African American. Mean age was 55.3 ± 0.05 years. Clinical, demographic, and laboratory data were collected from August 2000 through December 2009. Glomerular filtration rate was estimated using the CKD-EPI and MDRD Study equations. RESULTS CKD was present in 25.6% and 23.5% of the study population using the MDRD Study and CKD-EPI equations, respectively. Diabetes was present in 42.4% and 43.8% of participants with CKD, respectively. Prevalent risk factors for diabetes included obesity (body mass index >30 kg/m(2)), 44.0%; hypertension, 80.5%; cardiovascular disease, 23.2%; family history of diabetes, 55.9%; and dyslipidemia, 43.0%. In a logistic regression model after adjusting for age and other risk factors, odds for diabetes increased significantly compared with no CKD with each CKD stage based on the CKD-EPI equation and similarly with stages based on the MDRD Study equation. Using a CKD-EPI-adjusted model, ORs were: stage 1, 2.08 (95% CI, 1.90-2.27); stage 2, 1.86 (95% CI, 1.72-2.02); stage 3, 1.23 (95% CI, 1.17-1.30); stage 4, 1.69 (95% CI, 1.42-2.03); and stage 5, 2.46 (95% CI, 1.46-4.14). CONCLUSIONS Using the CKD-EPI equation led to a lower prevalence of CKD but to similar diabetes prevalence rates associated with CKD across all stages compared with the MDRD Study equation. Diabetes and other CKD risk factor prevalence was increased compared with the non-CKD population.
Collapse
Affiliation(s)
- Samy I McFarlane
- Division of Endocrinology, SUNY-Downstate and Kings County Hospital Centers, Brooklyn, NY 11203, USA.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
7
|
Sukandar E, Permana H, Adnyana I, Sigit J, Ilyas R, Hasimun P, Mardiyah D. Clinical Study of Turmeric (Curcuma longa L.) and Garlic (Allium sativum L.) Extracts as Antihyperglycemic and Antihyperlipidemic Agent in Type-2 Diabetes-Dyslipidemia Patients. INT J PHARMACOL 2010. [DOI: 10.3923/ijp.2010.456.463] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
|