Urolithiasis is a frequent problem causing a significant clinical, psychological and socio-economic burden. Analgesia remains the most important element in the medical treatment of renal colic. Nonetheless, both NSAIDs and opiates have a side effect profile which can cause further complications. As such, the use of desmopressin for renal colic has received increased attention in the last two decades. This paper provides an overview of current evidence on the use of desmopressin as an analgesic strategy in renal colic.

Since there is a good correlation and agreement between basic and extended urine collections to study the mechanisms underlying urine production, the choice of urine sampling method to evaluate urine production depends on the purpose. A nighttime-only urine sample collected between 03 and 05am may be the most practical approach.

Background Many different internal factors have been proven to influence urine production such as age, weight, and quality of sleep. External factors such as consumption of caffeine and fluid consumption have been shown to have an impact on urine production. Aim To investigate the impact of movement, physical activity and position on urine production. Methods This prospective observational study was executed at Ghent University Hospital, Belgium. Study participation was open for anyone visiting the hospital. Participants collected one basic and two extended 24‐hour urine collections and filled in questionnaires concerning their general health and physical activity. Urinary levels of osmolality, sodium and creatinine were determined. Data on movement, physical activity and position was described. Results An increase in body movement leads to a significant increase in diuresis during daytime, night‐time, and 24 hours (P = .002, P < .001, and P < .001, respectively). An increase in body movement leads to a significant decrease in osmolality during night‐time and 24 hours (P = .009, and P = .004, respectively). However, no significant influence of movement on osmolality was found during daytime (P = .12). An increase in body movement leads to a significant decrease in creatinine during daytime, night‐time and 24 hours (P = .001, <0.001, and P < .001, respectively). An increase in body movement leads to a significant increase in sodium during daytime (P = .046) but this was statistically significant during night‐time and 24 hours (P = .32, and P = .84 respectively). Conclusion Our study demonstrates a statistically significant association of movement, physical activity, and position with urine production. It would therefore be interesting to explore this association further with the use of new technology to have more accurate data. Here, lays a potential role for conservative measurements and lifestyle adaptations in the management of patients with bothersome LUTS and more precisely nocturia.

No abstract

Background: Many different internal factors have been proven to influence urine production such as age, weight, and quality of sleep. External factors such as consumption of caffeine and fluid consumption have been shown to have an impact on urine production. Aim: To investigate the impact of movement, physical activity, and position on urine production. Methods: This prospective observational study was executed at Ghent University Hospital, Belgium. Study participation was open for anyone visiting the hospital. Participants collected 1 basic and 2 extended 24-hour urine collections and filled in questionnaires concerning their general health and physical activity. Urinary levels of osmolality, sodium, and creatinine were determined. Data on movement, physical activity and position was described. Results: An increase in body movement leads to a significant increase in diuresis during daytime, night-time, and 24 hours (p=0,002, p= <0,001, and p=<0,001, respectively). An increase in body movement leads to a significant decrease in osmolality during night-time and 24 hours (p=0,009, and p=0,004, respectively). However, no significant influence of movement on osmolality was found during daytime (p=0,12). An increase in body movement leads to a significant decrease in creatinine during daytime, night-time, and 24 hours (p=0,001, <0,001, and p=<0,001, respectively). An increase in body movement leads to a significant increase in sodium during daytime (p=0,046) but this was statistically significant during night-time and 24 hours (p=0,32, and p=0,84 respectively). Conclusion: Our study demonstrates a statistically significant association of movement, physical activity, and position with urine production. It would therefore be interesting to explore this association further with the use of new technology to have more accurate data. Here lays a potential role for conservative measurements and lifestyle adaptations in the management of patients with bothersome LUTS and more precisely nocturia.