Maya Paryente Wiessman MD, Idit F. Liberty MD, Renana Wilkof Segev BSc, Tiberiu Katz MD, Muhammad Abu Tailakh RN MPH and Victor Novack MD PhD
Abstract
Background: Diabetes mellitus-related lower extremity amputation is a major complication severely affecting patient survival and quality of life.
Objectives: To analyze epidemiological and clinical trends in the incidence and survival of lower extremity amputations among diabetes patients.
Methods: We conducted a retrospective observational cohort study of 565 consecutive diabetes patients who underwent their first non-traumatic lower extremity amputation between January 2002 and December 2009.
Results: Major amputations were performed in 316 (55.9%) patients: 142 above the knee (25.1%) and 174 below (30.8%); 249 (44.1%) had a minor amputation. The incidence rates of amputations decreased from 2.9 to 2.1 per 1000 diabetes patients. Kaplan-Meier survival analysis showed that first year mortality rates were lower among patients with minor amputations (31.7% vs. 39.6%, P = 0.569). First year mortality rates following below-knee amputation were somewhat lower than above-knee amputation (33.1 vs.45.1%, respectively). Cox regression model of survival at 1 year after the procedure found that age (HR 1.06 per year, 95% CI 1.04–1.07, P < 0.001), above-knee amputation (HR 1.36, 95% CI 1.01–1.83, P = 0.045) and ischemic heart disease (HR 1.68, 95% CI 1.26–2.24, P < 0.001) significantly increased one year mortality risk.
Conclusions: In this population-based study the incidence rate of non-traumatic amputations in diabetes patients between January 2002 and December 2009 decreased slightly. However, one year mortality rates after the surgery did not decline and remained high, stressing the need for a multidisciplinary effort to prevent amputations in diabetes patients.
Itay A. Sternberg MD, Benjamin F. Katz MD, Lauren Baldinger DO, Roy Mano MD, Gal E. Keren Paz MD, Melanie Bernstein BA, Oguz Akin MD, Paul Russo MD and Christoph Karlo MD
Abstract
Background: Renal hemangiomas are rare benign tumors seldom distinguished from malignant tumors preoperatively.
Objectives: To describe the Memorial Sloan-Kettering Cancer Center (MSKCC) experience with diagnosing and treating renal hemangiomas, and to explore possible clinical and radiologic features that can aid in diagnosing renal hemangiomas preoperatively.
Methods: Patients with renal hemangiomas treated at MSKCC were identified in our prospectively collected renal tumor database. Descriptive statistics were used to describe the patient characteristics and the tumor characteristics. All available preoperative imaging studies were reviewed to assess common findings and explore possible characteristics distinguishing benign hemangiomas from malignant renal tumors preoperatively.
Results: Of 6341 patients in our database 15 were identified. Eleven (73%) were males, median age at diagnosis was 53.3 years, and the affected side was evenly distributed. All but two patients were treated surgically. The mean decrease in estimated glomerular filtration rate (eGFR) after surgery was 36.3%; one patient had an abnormal presurgical eGFR and only two patients had a normal eGFR after surgery. We could not identify radiographic features that would make preoperative diagnosis certain, but we did identify features characteristic of hepatic hemangiomas that were also present in some of the renal hemangiomas.
Conclusions: Most renal hemangiomas cannot be distinguished from other common renal cortical tumors preoperatively. In select cases a renal biopsy can identify this benign lesion and the deleterious effects of extirpative surgery can be avoided.
Dan Oieru MD, Nir Shlomo, Israel Moalem, Eli Rozen MD, Alexey Naimushin MD, Robert Klempfner MD, Ilan Goldenberg MD and Ronen Goldkorn MD
Abstract
Background: Heart rate variability (HRV) analysis has been shown to be a predictor of sudden cardiac death and all-cause mortality in patients with cardiac disease.
Objectives: To examine whether newer HRV analysis algorithms, as used by the HeartTrends device, are superior to exercise stress testing (EST) for the detection of myocardial ischemia in patients without known coronary artery disease (CAD).
Methods: We present pilot data of the first 100 subjects enrolled in a clinical trial designed to evaluate the yield of short-term (1 hour) HRV testing for the detection of myocardial ischemia. The study population comprised subjects without known CAD referred to a tertiary medical center for EST with single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI). All patients underwent a 1 hour electrocardiographic acquisition for HRV analysis with a HeartTrends device prior to EST with MPI. Sensitivity, specificity, and positive and negative predictive values (PPV and NPV, respectively) were calculated for EST and HRV analysis, using MPI as the gold standard for the non-invasive detection of myocardial ischemia.
Results: In this cohort 15% had a pathologic MPI result. HRV analysis showed superior sensitivity (85%), PPV (50%) and NPV (97%) as compared to standard EST (53%, 42%, 90%, respectively), while the specificity of the two tests was similar (86% and 85%, respectively). The close agreement between HRV and MPI was even more pronounced among patients > 65 years of age.
Conclusions: Our pilot data suggest that the diagnostic yield of the novel HeartTrends HRV algorithm is superior to conventional EST for the non-invasive detection of myocardial ischemia.