Changes in Urinary Continence After Admission to a Complex Care Setting: A Multistate Transition Model

ObjectivesTo examine changes in urinary continence for post-acute, Complex Continuing Care hospital patients from time of admission to short-term follow-up, either in hospital or after discharge to long-term care or home with services.DesignRetrospective cohort study of patients in Complex Continuing Care hospitals using clinical data collected with interRAI Minimum Data Set 2.0 and interRAI Resident Assessment Instrument Home Care.Setting and ParticipantsAdults aged 18 years and older, admitted to Complex Continuing Care hospitals in Ontario, Canada, between 2009 and 2015 (n = 78,913).MethodsA multistate transition model was used to characterize the association between patient characteristics measured at admission and changes in urinary continence state transitions (continent, sometimes continent, and incontinent) between admission and follow-up.ResultsThe cohort included 27,896 patients. At admission, 9583 (34.3%) patients belonged to the continent state, 6441 (23.09%) patients belonged to the sometimes incontinent state, and the remaining 11,872 (42.6%) patients belonged to the incontinent state. For patients who were continent at admission, the majority (62.7%) remained continent at follow-up. However, nearly a quarter (23.9%) transitioned to the sometimes continent state, and an additional 13.4% became incontinent at follow-up. Several factors were associated with continence state transitions, including cognitive impairment, rehabilitation potential, stroke, Parkinson’s disease, Alzheimer’s disease and related dementias, and hip fracture.Conclusions and ImplicationsThis study suggests that urinary incontinence is a prevalent problem for Complex Continuing Care hospital patients and multiple factors are associated with continence state transitions. Standardized assessment of urinary incontinence is helpful in this setting to identify patients in need of further assessment and patient-centered intervention and as a quality improvement metric to examine changes in continence from admission to discharge.     

基于移动医疗的妊娠期盆底肌训练对产后尿失禁发生的影响：一项基于随机对照试验设计的探索性研究

背景 孕产妇尿失禁（UI）发病率高，严重影响了女性生活质量。研究表明，盆底肌训练是UI有效的防治手段，本研究前期进行了一项随机对照试验（RCT），结果发现相比于常规宣教，基于移动医疗APP的盆底肌训练并未显现出预防优势，其原因需要进一步深入探讨。 目的 本研究拟对一项基于APP的妊娠期盆底肌训练的干预研究的阴性结果进行探索性分析，旨在探讨产后UI预防效果的影响因素以及获益的亚组人群。 方法 本研究数据来源于前期开展的一项RCT，采用方便抽样法，于2020年6—10月在南方医科大学深圳医院产科门诊招募了126例研究对象，采用随机数字表法分为干预组与对照组，每组各63例。对照组采用常规护理，干预组在此基础上使用"有爱屋"APP进行尿失禁自我管理，干预周期为2个月。产后42 d随访时收集两组产后相关资料，包括产后42 d UI发生情况。以产后是否发生UI为结局指标，将研究对象分为病例组和对照组，采用Logistic回归分析探讨混杂因素及其与干预方式之间的交互作用对产后UI发生的影响。针对Logistic回归分析的结果进行分层分析，探讨是否存在能从APP干预中获益的亚组人群。 结果 病例组和对照组阴道分娩史、入组时存在UI、Broome盆底肌自我效能量表（BPMSES）得分比较，差异均有统计学意义（P<0.05）。Logistic回归分析结果显示，入组时存在UI是产后发生UI的危险因素〔OR=15.897，95%CI（4.724，53.495），P<0.001〕；BPMSES得分与干预方式的交互作用可影响产后UI的发生〔OR=1.034，95%CI（1.017，1.051），P<0.001〕。分层分析结果显示，入组时存在UI症状的孕妇，干预组产后UI发生率低于对照组（χ2=4.18，P=0.041）；入组时不存在UI症状的孕妇，两组产后UI发生率比较，差异无统计学意义（χ2=1.89，P=0.284）。 结论 推荐有UI症状的孕妇使用"有爱屋"APP或许可预防产后UI的发生。而对于妊娠期没有UI症状的人群使用"有爱屋"APP预防产后UI发生的证据尚不充分。另外，不管有无UI症状，盆底肌训练自我效能高的孕妇有望从APP干预中获益。     

前列腺癌根治术患者采用围术期康复干预对尿失禁的预防效果

目的分析前列腺癌根治术患者采用围术期康复干预对尿失禁的预防效果。方法 42例行前列腺癌根治术的患者,随机分为研究组与对照组,每组21例。对照组患者给予常规干预,研究组患者采取围术期康复干预。对比两组患者的尿失禁发生率,下尿路症状改善情况,生活质量。结果研究组患者的尿失禁发病率14.29%明显低于对照组的47.62%,差异具有统计学意义(P<0.05)。干预后,两组患者的下尿路症状评估量表(LUTS)评分均低于本组干预前,且研究组患者的LUTS评分(10.25±2.02)分明显低于对照组的(15.63±2.59)分,差异具有统计学意义(P<0.05)。研究组患者的生理功能、情感职能、社会功能、总体健康评分分别为(75.14±4.28)、(76.67±4.31)、(74.98±4.25)、(75.87±4.26)分,均高于对照组的67.21±4.35)、(68.22±4.39)、(66.58±4.37)、(68.01±4.36)分,差异具有统计学意义(P<0.05)。结论前列腺癌根治术患者采用围术期康复干预可以有效降低术后并发症发生率,改善患者临床症状,提高患者生活质量,效果显著,值得在临床上进一步推广应用。     

Urological infections after endourological procedures

In the past two decades, endourological procedures such as ureteroscopy (URS) and percutaneous nephrolithotomy (PCNL) have become the mainstay of managing kidney stone disease (KSD), with URS also used for investigating upper urinary tract lesions. Post-endourological infections affect between 1% and 6% of cases. Numerous risk factors have been identified, including longer operative times and indwelling ureteric stents, but the literature is largely heterogeneous. Identification of risk factors preoperatively include the use of pre-operative urine culture, minimizing stent dwell time and targeted antibiotic use. Intraoperatively, efforts need to be made in minimizing operative times and intra-renal pressures. Although rare, urinary tract infections following endourological procedures remain a risk, with a smaller minority developing potentially deadly urosepsis. Clinical decisions on prevention and treatment of severe sepsis have to be individualized based on the risk factors. Machine learning techniques are currently being utilized to build these tools and might provide an answer in the future.