Comparison between intra-articular Botulinum toxin type A, corticosteroid, and saline in knee osteoarthritis: a randomized controlled trial.

OBJECTIVE: To compare the effectiveness of intra-articular injection (IAI) with Botulinum toxin type A (BTA), triamcinolone hexacetonide (TH), and saline in primary knee osteoarthritis. DESIGN: A randomized controlled trial, with blinded patients and assessor. SETTING: Outpatient rheumatology service. SUBJECTS: Patients with knee osteoarthritis grades II and III. INTERVENTIONS: Patients received IAI with 100 IU BTA, 40 mg TH, or isotonic saline solution (SS) 0.9%. MAIN MEASURES: Patients were assessed at baseline and at 4, 8, and 12 weeks with the following instruments: visual analog scale for pain during movement (VASm; primary outcome) and visual analog scale for pain at rest (VASr), Western Ontario & McMaster Universities Osteoarthritis Index (WOMAC) questionnaire, 6-minute walk test, Timed Up and Go test, Short Form (SF)-36 questionnaire, range of motion of knee, and ultrasound (US) measurement of synovial hypertrophy. RESULTS: In total, 105 patients were randomized, with 35 in each group; 96 were female (91.4%) and 9 were male (8.6%), with a mean age of 64.2 years (±6.9). At 12 weeks, the TH group showed better results only for VASm. At four weeks, the TH group showed better results than the BTA and SS groups for VASm (-68.9% (37.8) vs. -35.3% (40.3) vs. -35.9% (51.4)), WOMAC pain (-56.0% (30.7) vs. -30.8% (34.3) vs. -30.0% (39.9)), WOMAC stiffness (-53.4% (38.4) vs. -17.2% (59.3) vs. -17.3% (78.1)), WOMAC function (-48.2% (34.6) vs. 30.8% (33.6) vs. -13.6% (64.9)), WOMAC total score (-51.2% (31.0) vs. -30.9% (30.0) vs. -18.8% (54.8)), and US measurement of synovial hypertrophy (-11.6% (44.9) vs. -1.5% (47.9) vs. +28.6% (81.3)). CONCLUSION: IAI with TH had a higher effectiveness than that with TBA or SS in the short-term assessment (four weeks) for pain in movement, WOMAC, and US measurement of synovial hypertrophy.

Glycemic and lipidic profile in diabetic patients undergoing dialysis / Controle glicêmico e lipídico no paciente diabético em diálise

OBJECTIVE: The aim of this study is to assess the clinical care pattern and to compare the lipid and glycemic profile in a group of diabetic patients undergoing both hemodialysis (HD) and peritoneal dialysis (PD) and to correlate these data using biomarkers of cardiovascular risk. SUBJECTS AND METHODS: The first phase consisted in performing a survey on demographic data, questions about the medical team and glycemic control. In the second phase, patients were assessed through laboratorial data on their glycemic and lipid profile at a single center for HD and PD. RESULTS: 91 patients was the total population; 70 patients (77 percent) answered the survey; 66 patients (94 percent) considered the nephrologist the physician responsible for caring for their glycemic control. Second phase: 59 patients were assessed, 29 undergoing HD and 30 undergoing PD. Fifty-seven percent of the patients had HbA1c above 7 percent; the level of glycemic markers in patients undergoing peritoneal dialysis was significantly higher than in patients undergoing hemodialysis: HbA1c (9.37 ± 0.5) vs. (7.37 ± 0.49) p < 0.01; fasting glycemia (170 ± 15) vs. (126 ± 15) mg/dL p < 0.05. We found a positive correlation between HbA1c and hyperfibrinogenemia (r = 0.4437, p < 0.0005). CONCLUSIONS: The data reveal that glycemic control in diabetic patients undergoing renal replacement therapy (RRT) is neglected. Peritoneal dialysis is related to the worst level of glycemic markers, possibly due to the glucose content in the dialysis solution, and higher levels from HbA1c have a positive correlation with hyperfibrinogenesis in this population.

OBJETIVO: Avaliar as características dos cuidados clínicos dos pacientes em diálise, comparar o controle glicêmico e lipídico entre os pacientes diabéticos em hemodiálise (HD) e em diálise peritoneal (DP) e correlacionar os dados laboratoriais com biomarcadores de risco cardiovascular. SUJEITOS E MÉTODOS: A primeira etapa consistiu de um questionário abordando variáveis demográficas, questões sobre a equipe multidisciplinar, incluindo a equipe médica e sobre o controle glicêmico. Na segunda, os pacientes foram avaliados com exames laboratoriais para controle glicêmico e perfil lipídico numa unidade de HD e DP. RESULTADOS: Dos 91 pacientes avaliados, setenta (77 por cento) responderam ao questionário. Destes, 66 (94 por cento) consideraram o nefrologista o médico responsável pelo cuidado do seu controle glicêmico. Na segunda etapa, foram avaliados 59 pacientes: 29 em HD e 30 em DP. Cinquenta e sete por cento dos pacientes diabéticos em diálise apresentaram HbA1c acima de 7 por cento, sendo que aqueles em diálise peritoneal apresentam níveis de marcadores glicêmicos significativamente piores do que os pacientes diabéticos em HD, HbA1c: (9,37 ± 0,5) vs. (7,37 ± 0,49) p < 0.01; glicemia de jejum: (170 ± 15) vs. (126 ± 15) mg/dL, p < 0.05. Encontramos uma correlação positiva entre HbA1c e hiperfibrinogenemia (r = 0.4437, p < 0.0005). CONCLUSÕES: Nossos dados permitem inferir que o controle glicêmico da população diabética em terapia renal de substituição (TRS) é negligenciado. A diálise peritoneal está relacionada com piora nos níveis de marcadores glicêmicos, possivelmente em decorrência do conteúdo de glicose das soluções de diálise, e os níveis elevados de HbA1c estão associados com hiperfibrinogenemia nesta população.

Glycemic and lipidic profile in diabetic patients undergoing dialysis.

OBJECTIVE: The aim of this study is to assess the clinical care pattern and to compare the lipid and glycemic profile in a group of diabetic patients undergoing both hemodialysis (HD) and peritoneal dialysis (PD) and to correlate these data using biomarkers of cardiovascular risk. SUBJECTS AND METHODS: The first phase consisted in performing a survey on demographic data, questions about the medical team and glycemic control. In the second phase, patients were assessed through laboratorial data on their glycemic and lipid profile at a single center for HD and PD. RESULTS: 91 patients was the total population; 70 patients (77%) answered the survey; 66 patients (94%) considered the nephrologist the physician responsible for caring for their glycemic control. Second phase: 59 patients were assessed, 29 undergoing HD and 30 undergoing PD. Fifty-seven percent of the patients had HbA1c above 7%; the level of glycemic markers in patients undergoing peritoneal dialysis was significantly higher than in patients undergoing hemodialysis: HbA1c (9.37 ± 0.5) vs. (7.37 ± 0.49) p < 0.01; fasting glycemia (170 ± 15) vs. (126 ± 15) mg/dL p < 0.05. We found a positive correlation between HbA1c and hyperfibrinogenemia (r = 0.4437, p < 0.0005). CONCLUSIONS: The data reveal that glycemic control in diabetic patients undergoing renal replacement therapy (RRT) is neglected. Peritoneal dialysis is related to the worst level of glycemic markers, possibly due to the glucose content in the dialysis solution, and higher levels from HbA1c have a positive correlation with hyperfibrinogenesis in this population.

Insulin resistance and glucose homeostasis in peritoneal dialysis.

Cardiovascular disease (CVD) is the main cause of death in peritoneal dialysis (PD) patients, a situation that can be explained by a combination of traditional and nontraditional risk factors for CVD in these patients. Glucose and insulin homeostasis are altered in chronic kidney disease (CKD) patients even in the early stages of CKD, leading to insulin resistance by various pathways. Several factors have been implicated in the pathogenesis of insulin resistance, including anemia, dyslipidemia, uremia, malnutrition, excess of parathyroid hormone, vitamin D deficiency, metabolic acidosis, and increase in plasma free fatty acids and proinflammatory cytokines. Insulin resistance and dyslipidemia are observed and increase with the progression of CKD, playing an important role in the pathogenesis of hypertension and atherosclerosis. Particularly in PD patients, exposure to glucose from dialysis fluid accentuates the foregoing metabolic abnormalities. In conclusion, insulin resistance and altered glucose metabolism are frequently observed in CKD, and although dialysis partly corrects those disturbances, the use of glucose PD solutions intensifies a series of harmful metabolic consequences. New therapeutic measures aimed at reducing metabolic disorders are urgently needed and perhaps will improve PD patient survival.