Laparoscopic transperitoneal adrenalectomy.

Surg Endosc

Ward 60, Hull Royal Infirmary, Anlaby Road, Hull, HU3 2JZ, United Kingdom.

Published: December 2003

Background: From November 1993 to May 2002 a total of 172 laparoscopic adrenalectomies were attempted in 152 patients in centers throughout the United Kingdom.

Results: The median age was 52 years (18-77 years). Sixty-three percent were female. Indications for resection were Conn's syndrome (60), pheochromocytoma (35), Cushing's disease (24), Cushing's adenoma (8), cortisol-secreting carcinoma (1), other secreting tumor (2), nonfunctioning adenoma (17), congenital adrenal hyperplasia (4), metastatic disease (7), nonsecreting adrenal carcinoma (2), others (12). Median size of the lesions was 3.0 cm (0.5-20 cm). Median operating time was 65 min (30-170 min). Conversion to an open procedure was necessary in 10 patients (7%). Minor morbidity occurred in nine patients (5%). Major morbidity occurred in two patients (pancreatitis, peritonitis). Median hospital stay was 3 days (1-16 days). At median follow-up of 36 months (1-105 months) five patients (4%) had persistent hypertension. No patient had evidence of recurrent hormonal excess.

Conclusions: Laparoscopic removal of the adrenal gland should be considered the surgical procedure of choice in experienced minimally invasive centers.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00464-002-8878-7DOI Listing

Publication Analysis

Top Keywords

morbidity occurred
8
occurred patients
8
patients
5
median
5
laparoscopic transperitoneal
4
transperitoneal adrenalectomy
4
adrenalectomy background
4
background november
4
november 1993
4
1993 2002
4

Similar Publications

Objective: Inflammation contributes to morbidity following subarachnoid hemorrhage (SAH). The authors of this study evaluate how applying noninvasive transauricular vagus nerve stimulation (taVNS) can target this deleterious inflammatory response following SAH and reduce the rate of radiographic vasospasm.

Methods: In this prospective, triple-blinded, randomized controlled trial, 27 patients were randomized to taVNS or sham stimulation.

View Article and Find Full Text PDF

Background: Endometrial cancer is the sixth leading cause of cancer among females and about 97,000 global deaths of endometrial cancer. The changes in the trends of obesity, fertility rates and other risk factors in South Africa (SA) may impact the endometrial cancer trends. The aim of this study was to utilise the age period cohort and join point regression modelling to evaluate the national and ethnic trends in endometrial cancer mortality in South Africa over a 20year period (1999-2018).

View Article and Find Full Text PDF

Importance: A recent advisory from the American Heart Association delineated the potential benefits of developmental care for hospitalized children with congenital heart disease (CHD) and a critical gap in research evaluating the association of such inpatient programs with neurodevelopmental outcomes.

Objective: To investigate associations between the Cardiac Inpatient Neurodevelopmental Care Optimization (CINCO) program interventions, delirium, and neurodevelopment in young children (newborn through age 2 years) hospitalized with CHD.

Design, Setting, And Participants: This cohort study used quality improvement data from inpatient cardiac units at a tertiary care children's hospital in the US.

View Article and Find Full Text PDF

Essential hypertension is one of the most common conditions managed in pediatric cardiology and can result in lasting deleterious effects on the cardiovascular system. Pediatric hypertension is so prevalent in the United States that it is often referred to as a public health challenge. Social determinants of health (SDH) are the cultural, economic, educational, healthcare accessibility, and political influences in the environment in which an individual is born or lives, all of which can affect that individual's overall health.

View Article and Find Full Text PDF

Non-Parametric Estimation for Semi-Competing Risks Data With Event Misascertainment.

Stat Med

February 2025

Department of Biostatistics and Health Data Science, Indiana University, Indianapolis, IN.

The semi-competing risks data model is a special type of disease-state model that focuses on studying the association between an intermediate event and a terminal event and proves to be a useful tool in modeling disease progression. The study of the semi-competing risk data model not only allows us to evaluate whether a disease episode is related to death but also provides a toolkit to predict death, given that the episode occurred at a certain time. However, the computation of the semi-competing risk models is a numerically challenging task.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!