Perioperative outcomes of penile prosthesis implantation in Germany: results from the GRAND study.
Nikolaos PyrgidisGerald B SchulzMichael ChaloupkaYannic VolzPaulo L PfitzingerSeverin RodlerElena BergPhilipp WeinholdFriedrich JokischChristian G StiefArmin J BeckerJulian MarconPublished in: International journal of impotence research (2023)
We aimed to assess the recommended annual hospital volume for inflatable penile prosthesis implantation (PPI) and to provide evidence on perioperative outcomes of semi-rigid and inflatable PPI in Germany. We used the GeRmAn Nationwide inpatient Data (GRAND) from 2005 to 2021 and report the largest study to date with 7,222 patients. 6,818 (94.4%) patients underwent inflatable and 404 (5.6%) semi-rigid PPI. Inflatable PPI was significantly associated with shorter length of hospital stay (difference of 2.2 days, 95%CI: 1.6-2.7, p < 0.001), lower odds of perioperative urinary tract infections (5.5% versus 9.2%; OR: 0.58, 95%CI: 0.41-0.84, p = 0.003) and surgical wound infections (1% versus 2.5%; OR: 0.42, 95%CI: 0.22-0.88, p = 0.012) compared to semi-rigid PPI. Overall, 4255 (62.4%) inflatable PPIs were undertaken in low- ( < 20 PPI/year) and 2563 (37.6%) in high-volume ( ≥ 20 PPI/year) centers. High-volume centers were significantly associated with shorter length of hospital stay (difference of 1.4 days, 95%CI: 1.2-1.7, p < 0.001) compared to low-volume centers. Our findings suggest that inflatable PPI leads to a shorter length of hospital stay and lower rates of perioperative urinary tract and surgical wound infections compared to semi-rigid PPI. Patients undergoing surgery in high-volume centers for inflatable PPI are discharged earlier from the hospital.
Keyphrases
- protein protein
- patients undergoing
- small molecule
- end stage renal disease
- healthcare
- acute care
- cardiac surgery
- chronic kidney disease
- ejection fraction
- urinary tract infection
- adverse drug
- minimally invasive
- peritoneal dialysis
- palliative care
- mental health
- type diabetes
- metabolic syndrome
- skeletal muscle
- electronic health record
- patient reported outcomes
- adipose tissue
- coronary artery disease
- machine learning
- coronary artery bypass
- drug induced