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1.
Article in English | AIM | ID: biblio-1270712

ABSTRACT

The aim of this study was to define disintegrating perineal disease (DPD) and to determine whether the fulminating nature of the condition could be explained by urine and perineal swab microbiology or perineal histology. A retrospective study that included 12 male patients with urethral strictures and DPD was performed. DPD was defined as a chronic; destructive; purulent perineal inflammation with multiple fistulae or sinuses of the perineum; scrotum or penoscrotal area; which continued for more than six weeks despite a patent urethra after direct vision internal urethrotomy (DVIU) or urinary diversion by means of suprapubic cystostomy. The median patient age was 43.5 years (range of 22-68 years). The patients all tested positive for human immunodeficiency virus (HIV) infection. Their mean CD4 count was 340 cells/mm3 (range of 244-1 252 cells/mm3). Histology of the fistula tracts showed non-specific inflammation in 8 patients (66.7); tuberculosis in 2 (16.7); hydradenitis suppurativa in one (8.3); and squamous cell carcinoma in situ with condylomata acuminata in one patient (8.3). DVIU was performed in 10 patients. Patency of the urethra could be achieved in only three patients for more than six weeks. Perineal urethrostomy was completed in three patients after failed DVIU. Ileal conduit urinary diversion and simple cystectomy was carried out in three patients and curing the DPD was accomplished in two. DPD relates to urethral stricture disease in HIV-positive men with secondary infection as the initiating cause; but no predominant microorganism is responsible for the condition. Simple cystectomy with urinary diversion may be the only solution to treating this debilitating disease


Subject(s)
Cystectomy , Fistula , HIV Infections , Patients , Urethral Diseases , Urethral Stricture , Urinary Diversion
2.
Int. braz. j. urol ; 34(1): 15-22, Jan.-Feb. 2008. ilus, tab
Article in English | LILACS | ID: lil-482938

ABSTRACT

OBJECTIVE: To assess the prevalence, onset, duration and severity of hot flashes in men after bilateral orchidectomies (BO) for prostate cancer, to evaluate body temperature changes during hot flashes and to determine whether an elevated temperature within a few days after BO can be caused by deprivation of androgen. MATERIALS AND METHODS: Patients (n = 101) were questioned about the characteristics of their hot flashes after BO for prostate cancer. A subgroup of these men (n = 17) were instructed to record their oral and forehead temperatures during and at fixed intervals between hot flashes daily for 4 weeks. RESULTS: The mean age was 71.6 years, mean follow-up after BO was 33.2 months. Hot flashes were reported by 87 men (86 percent) with previous spontaneous remission in 9 (10 percent). The median time between BO and the onset of hot flashes was 21 days (range 1-730), median number of hot flashes 3 per day (range 1-20), and median duration was 120 seconds (range 5 to 1800). There was no significant difference between median oral (36.4º C) and forehead (36.0º C) temperature in the normal state, but during hot flashes the median forehead temperature (37.0º C) was higher than the oral temperature (36.5º C) (p = 0.0004). Both median oral and forehead temperatures were higher during hot flashes (36.5º C and 37.0º C) than in the normal state (36.4º C and 36.0º C, respectively) (p < 0.0001). During hot flashes, the oral temperature was 38º C to 40º C in only 3.2 percent of 593 readings in 17 patients. CONCLUSIONS: The median oral and forehead temperatures are higher during hot flashes than in normal periods. Oral temperature elevation > 38º C within days after a BO is unlikely to be the result of androgen deprivation alone.


Subject(s)
Aged , Aged, 80 and over , Humans , Male , Middle Aged , Androgen Antagonists/adverse effects , Hot Flashes/etiology , Orchiectomy/adverse effects , Prostatic Neoplasms/surgery , Body Temperature , Follow-Up Studies , Hot Flashes/chemically induced , Prostatic Neoplasms/drug therapy , Quality of Life , Severity of Illness Index , Statistics, Nonparametric , Time Factors
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