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1.
Transplant Proc ; 49(3): 523-527, 2017 Apr.
Article in English | MEDLINE | ID: mdl-28340826

ABSTRACT

BACKGROUND: Urologic complications (UC) have gradually decreased in recent years after advanced surgical experience. The incidence of urologic complications varies between 0.22% and 30% in different medical studies. There is no routine usage of double-J stenting (DJS) during renal transplantation (RT) in the literature. It is a necessity, and optimal timing for stent removal is an important question for many transplantation centers. METHODS: This study includes 818 renal transplant patients whose ureteroneocystostomy anastomoses were completed by use of the Lich-Gregorie procedure during a 2-year period at a transplantation center. We performed 926 renal transplantations at Antalya Medical Park Hospital Renal Transplantation Center between January 2014 and January 2016. The patients were divided into four groups according to the timing of DJS removal. RESULTS: For group 1, removal time for DJS was between 5 and 7 days; group 2, Removal time for DJS was between 8 and 14 days; group 3, removal time for DJS was between 15 and 21 days; and group 4, removal time for DJS was later than 22 days. The patients were divided into two groups according to removal time of stent as 5 to 14 days and >15 days. DJS was performed again in the patients whose urine output was reduced during the first 5 days after removal of the DJS, whose creatine level increased, and whose graft ureter and collecting tubules were extended as an ultrasonographic finding. CONCLUSIONS: There is no declared optimal time for the removal of DJS. The removal time was reported between postoperative first week and 3 months in some of the reports of RT centers, according to their protocols. We emphasize that the optimal time for the removal of DJS is 14 to 21 days after RT, based on the findings of our large case report study.


Subject(s)
Device Removal , Kidney Transplantation/methods , Stents , Female , Humans , Incidence , Male , Middle Aged , Postoperative Complications/epidemiology , Postoperative Period , Ureter/surgery
2.
Transplant Proc ; 49(3): 546-550, 2017 Apr.
Article in English | MEDLINE | ID: mdl-28340831

ABSTRACT

BACKGROUND: Depending on hyphothalamic, hyphophyseal, and gonadal axis dysfunction, anovulatory irregular cycles occur and the probability of pregnancy decreases in the patients with chronic kidney disease (CKD). Maternal mortality and morbidity rates are increased in CKD patients; the risk of premature delivery is 70% and the risk of preeclampsia is 40% more than normal among those with a creatine level of >2.5 mg/dL. METHODS: If a pregnancy is expected in the sequel of kidney transplantation (KT), a multidisciplinary team approach should be adopted and both the gynecologist and the nephrologist should follow the patient simultaneously. Among 3883 patients who underwent KT at Antalya Medical Park Hospital Transplantion Department between November 2009 and October 2016, the records of 550 female patients between the ages of 18 and 40 years were examined retrospectively; 31 patients who complied with these criteria were included in the study group. In 6 of these patients who had an unplanned pregnancy, medical abortion was performed after the families were informed about the possible fetal anomalies caused by the use of everolimus in the first trimester, and they were excluded from the study (pregnant group). The control group consisted of 43 patients who had a KT and became pregnant, and of those who had recently undergone KT and shared similarities regarding age, CKD etiology, duration of dialysis, and number of transplants. RESULTS: In both groups, the ages of the patients, their follow-up span and dialysis duration, tissue compatibility, age of the donor, and time elapsed until the pregnancy was analyzed, whereas in the control group, creatinine levels in the first, second, third, and fourth years after the KT were reviewed. Additionally, in the pregnant group, creatinine levels of the first, second, and third trimesters; delivery week; birth weight of the baby; APGAR scores of the first minute; postnatal creatinine levels of first, second, and third years; and prenatal, maternal, and postnatal acute rejections were reviewed. We measured the creatine clearance by use of the Cockcroft-Gault formula in the pregnancy group before pregnancy and during delivery [Cockcroft-Gault formula: (140 - age) × body weight (kg)/72 × plasma creatine level (mg/dL) × 0.85]. CONCLUSIONS: Pregnancy after KT is risky both for the mother and the baby; however, if planned and followed in coordination within an experienced center, both the pregnancy period and the birth process can occur without distress.


Subject(s)
Kidney Transplantation , Pregnancy Complications/therapy , Adolescent , Adult , Birth Weight , Case-Control Studies , Creatinine/metabolism , Delivery, Obstetric/statistics & numerical data , Female , Humans , Patient Care Team , Pregnancy , Pregnancy Outcome , Pregnancy Rate , Pregnancy, High-Risk , Premature Birth/etiology , Prenatal Care/methods , Renal Dialysis/statistics & numerical data , Renal Insufficiency, Chronic/complications , Renal Insufficiency, Chronic/surgery , Reoperation/statistics & numerical data , Retrospective Studies , Young Adult
3.
Int J Artif Organs ; 30(12): 1098-108, 2007 Dec.
Article in English | MEDLINE | ID: mdl-18203072

ABSTRACT

BACKGROUND: Achieving optimal dry body weight in hemodialysis is challenging. Clinical assessment alone is inadequate, and methods such as bioimpedance monitoring may be impractical for every patient treatment. Continuous blood volume monitoring, blood pressure and heart rate variability inform clinical decision-making, but integrated use of multiple methodologies to achieve dry weight and understand patient factors has not yet been described. METHODS: Nineteen chronic hemodialysis patients underwent thrice-weekly treatments for two weeks. Baseline hydration status and target weight were determined by bioimpedance. During subsequent treatments, ultrafiltration was adjusted and relative blood volume, blood pressure and pulse were recorded non-invasively. Bioimpedance was repeated to assess hydration. Response of variables to progressive change in weight was assessed and selected patients underwent additional autonomic function testing. RESULTS: Four distinct hemodynamic patterns emerged. Profile A: 4 patients demonstrated overhydration at baseline. With decreasing target, pulse and blood pressure remained stable while blood volume and bioimpedance demonstrated achievement of dry weight. Profile B: 8 patients demonstrated overhydration at baseline. With decreasing target, blood pressure remained stable while pulse increased. Profile C: 5 patients were overhydrated, but as weight decreased, blood pressure became unstable and heart rate failed to compensate. Further testing confirmed autonomic dysfunction. Profile D: 2 patients were dehydrated, and with increasing target demonstrated stable pulse and pressure, while blood volume and bioimpedance revealed achievement of dry weight. CONCLUSIONS: Integrating existing non-invasive, continuous monitoring during hemodialysis enabled achievement of dry weight and identified distinct profiles of the patients, some with autonomic dysfunction. This strategy may contribute to achieving optimum dry weight while improving cardiovascular tolerability of hemodialysis.


Subject(s)
Blood Pressure , Blood Volume , Body Weight , Heart Rate , Kidney Failure, Chronic/physiopathology , Renal Dialysis , Electric Impedance , Female , Humans , Kidney Failure, Chronic/therapy , Male , Predictive Value of Tests , Prospective Studies
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