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Background: An increasing number of older patients are undergoing emergency laparotomy (EL). Frailty is thought to contribute to adverse outcomes in this group. The best method to assess frailty and impacts on long‐term mortality and other important functional outcomes for older EL patients have not been fully explored. Methods: A prospective multicenter study of older EL patients was conducted across four hospital sites in New Zealand from August 2017 to September 2022. The Clinical Frailty Scale (CFS) was used to measure frailty—defined as a CFS of ≥5. Primary outcomes were 30‐day and one‐year mortality. Secondary outcomes were postoperative morbidity, admission for rehabilitation, and increased care level on discharge. A multivariate logistic regression analysis was conducted, adjusting for age, sex, and ethnicity. Results: A total of 629 participants were included. Frailty prevalence was 14.6%. Frail participants demonstrated higher 30‐day and 1‐year mortality—20.7% and 39.1%. Following adjustment, frailty was directly associated with a significantly increased risk of short‐ and long‐term mortality (30‐day aRR 2.6, 95% CI 1.5, 4.3, p = <0.001, 1‐year aRR 2.0, 95% CI 1.5, 2.8, p < 0.001). Frailty was correlated with a 2‐fold increased risk of admission for rehabilitation and propensity of being discharged to an increased level of care, complications, and readmission within 30 days. Conclusion: Frailty was associated with increased risk of postoperative mortality up to 1‐year and other functional outcomes for older patients undergoing EL. Identification of frailty in older EL patients aids in patient‐centered decision‐making, which may lead to improvement in outcomes. [ABSTRACT FROM AUTHOR]

Objective: This study aims to assess whether the rate of readmissions after ureterorenoscopy (URS) is dependent on results of urine microscopy, culture and sensitivity (MC&S) or nitrite dipstick test performed before the procedure. Patients and Methods: All patients attending for ureteroscopy for stone disease over 12 months were included and had urine dipstick performed immediately prior to the surgery with mid-stream urine (MSU) sample sent for culture. Asymptomatic bacteriuria (ABU) was not treated before ureteroscopy. All included patients received standard antibiotic prophylaxis. Readmissions within 30 days of the procedure were evaluated. Results: A total 120 ureteroscopies were included, of which 20% had ABU. Eight patients (6.67%) were readmitted due to all procedure-related complications; among them, five (4.17%) were readmitted with urinary tract infection (UTI). Readmission rates with UTIs were similar for patients with sterile urine and those who had untreated ABU. Of those patients who were readmitted with UTI, all had a negative nitrite result on preoperative urine dipstick specimens. Most patients (54.17%) who had ABU also had a negative urinary nitrite test. Conclusions: Screening and routine treatment of ABU before ureteroscopy for urolithiasis may be unnecessary provided patients have standard antibiotic prophylaxis. Moreover, urine nitrite testing before ureteroscopy may not be a useful screening test for ABU before ureteroscopy. Level of evidence: 2 [ABSTRACT FROM AUTHOR]

Background: The National Bariatric Prioritization Tool (NBPT), developed in Aotearoa New Zealand (AoNZ), has not been validated using real patient data. The aim was to determine the predictive validity of the NBPT on health outcomes. Methods: An observational study was undertaken of consecutive patients undergoing elective bariatric surgery at Middlemore Hospital using the NBPT from December 2014 to December 2016. The primary outcome was the correlation between prioritization score and percentage total weight loss (%TWL) at 18 months follow‐up, with secondary outcomes being correlation with change in HbA1c, lipids, resolution of OSA, resolution of hypertension, and reduction in arthritis medications. Equity of access was measured by the relationship to age group, gender and ethnicity. Results: There were 294 patients included. There was no correlation between %TWL and prioritization score (correlation −0.09, P = 0.14). The benefit score correlated with %TWL (correlation 0.25, P < 0.0001). There were correlations between prioritization score and HbA1c reduction (correlation 0.28, P < 0.0001), resolution of OSA (correlation 0.20, P < 0.001) and resolution of hypertension (correlation 0.20, P < 0.001). There was a significant difference in prioritization score based on ethnicity, with Māori and Pasifika scoring higher than New Zealand European (P = 0.0023). Conclusions: While the NBPT does not correlate with %TWL, it may have predictive validity through correlations with improvement of comorbidities such as diabetes, OSA and hypertension. Given higher rates of obesity and comorbidities in Māori and Pasifika, the higher scores may suggest the tool may be used to achieve equity of access. Further modifications should be considered to optimize outcomes. [ABSTRACT FROM AUTHOR]

Background: Bariatric surgery is a proven effective method of reducing obesity and reversing or preventing obesity‐related comorbidities. The aim of this study is to describe the development of a tool to assist with the prioritization of patients with obesity for bariatric surgery. The tool would meet the criteria for being evidence‐based, fair, implementable and transparent. Methods: The development of the tool involved a validated step‐by‐step process based on the consensus of clinical judgement of the New Zealand Ministry of Health working party. The process involved elicitation of criteria, clinical ranking of vignettes and creation of weightings using the 1000Minds® tool. The concurrent validity was tested by comparing tool rankings of vignettes to clinical judgement rankings. Results: Four major criteria (impact on life, likelihood of achieving maximum benefit with respect to control of diabetes, duration of benefit and surgical risk) are used to characterize the need and potential to benefit. The impact on life criterion has the largest weighting (up to 44.3%). There was good concurrent validity with a correlation coefficient r = 0.67. Conclusion: The tool as presented is evidence‐based, transparent and internally valid. The next step is to assess the predictive validity of the tool using real patient data to evaluate the effectiveness of the tool and determine what modifications may be required. [ABSTRACT FROM AUTHOR]

Background: The length of a patient's stay (LOS) in a hospital is one metric used to compare the quality of care, as a longer LOS may flag higher complication rates or less efficient processes. A meaningful comparison of LOS can only occur if the expected average length of stay (ALOS) is defined first. This study aimed to define the expected ALOS of primary and conversion bariatric surgery in Australia and to quantify the effect of patient, procedure, system, and surgeon factors on ALOS. Methods: This was a retrospective observational study of prospectively maintained data from the Bariatric Surgery Registry of 63 604 bariatric procedures performed in Australia. The primary outcome measure was the expected ALOS for primary and conversion bariatric procedures. The secondary outcome measures quantified the change in ALOS for bariatric surgery resulting from patient, procedure, hospital, and surgeon factors. Results: Uncomplicated primary bariatric surgery had an ALOS (SD) of 2.30 (1.31) days, whereas conversion procedures had an ALOS (SD) of 2.71 (2.75) days yielding a mean difference (SEM) in ALOS of 0.41 (0.05) days, P < 0.001. The occurrence of any defined adverse event extended the ALOS of primary and conversion procedures by 1.14 days (CI 95% 1.04–1.25), P < 0.001 and 2.33 days (CI 95% 1.54–3.11), P < 0.001, respectively. Older age, diabetes, rural home address, surgeon operating volume and hospital case volume increased the ALOS following bariatric surgery. Conclusions: Our findings have defined Australia's expected ALOS following bariatric surgery. Increased patient age, diabetes, rural living, procedural complications and surgeon and hospital case volume exerted a small but significant increase in ALOS. Study type: Retrospective observational study of prospectively collected data. [ABSTRACT FROM AUTHOR]