scholarly journals Urinary and Faecal Incontinence: Point Prevalence and Predictors in a University Hospital

Author(s):  
Marie Condon ◽  
Edel Mannion ◽  
D. Molloy ◽  
Rónán O’Caoimh

Incontinence is common and associated with adverse outcomes. There are insufficient point prevalence data for incontinence in hospitals. We evaluated the prevalence of urinary (UI) and faecal incontinence (FI) and their predictors among inpatients in an acute university hospital on a single day. Continence status was recorded using the modified Barthel Index (BI). Baseline characteristics, Clinical Frailty Scale (CFS) and ward type were recorded. In all, 435 patients were assessed, median age 72 ± 23 years and 53% were male. The median CFS score was 5 ± 3. The point prevalence of UI was 26% versus 11% for FI. While UI and FI increased with age, to 35.2% and 21.1% respectively for those ≥85, age was not an independent predictor. Incontinence also increased with frailty; CFS scores were independently associated with both UI (p = 0.006) and FI (p = 0.03), though baseline continence status was the strongest predictor. Patients on orthopaedic wards had the highest prevalence of incontinence. Continence assessments were available for only 11 (2%) patients. UI and FI are common conditions affecting inpatients; point prevalence increases with age and frailty status. Despite this, few patients receive comprehensive continence assessments. More awareness of its high prevalence is required to ensure incontinence is adequately managed in hospitals.

BMC Medicine ◽  
2019 ◽  
Vol 17 (1) ◽  
Author(s):  

Abstract Background Delirium is a common severe neuropsychiatric condition secondary to physical illness, which predominantly affects older adults in hospital. Prior to this study, the UK point prevalence of delirium was unknown. We set out to ascertain the point prevalence of delirium across UK hospitals and how this relates to adverse outcomes. Methods We conducted a prospective observational study across 45 UK acute care hospitals. Older adults aged 65 years and older were screened and assessed for evidence of delirium on World Delirium Awareness Day (14th March 2018). We included patients admitted within the previous 48 h, excluding critical care admissions. Results The point prevalence of Diagnostic and Statistical Manual on Mental Disorders, Fifth Edition (DSM-5) delirium diagnosis was 14.7% (222/1507). Delirium presence was associated with higher Clinical Frailty Scale (CFS): CFS 4–6 (frail) (OR 4.80, CI 2.63–8.74), 7–9 (very frail) (OR 9.33, CI 4.79–18.17), compared to 1–3 (fit). However, higher CFS was associated with reduced delirium recognition (7–9 compared to 1–3; OR 0.16, CI 0.04–0.77). In multivariable analyses, delirium was associated with increased length of stay (+ 3.45 days, CI 1.75–5.07) and increased mortality (OR 2.43, CI 1.44–4.09) at 1 month. Screening for delirium was associated with an increased chance of recognition (OR 5.47, CI 2.67–11.21). Conclusions Delirium is prevalent in older adults in UK hospitals but remains under-recognised. Frailty is strongly associated with the development of delirium, but delirium is less likely to be recognised in frail patients. The presence of delirium is associated with increased mortality and length of stay at one month. A national programme to increase screening has the potential to improve recognition.


2018 ◽  
Vol 71 (6) ◽  
pp. 2883-2890 ◽  
Author(s):  
Maria Solange Moreira de Lima ◽  
Rodrigo Assis Neves Dantas ◽  
Neyse Patrícia do Nascimento Mendes ◽  
Louise Constância de Melo Alves ◽  
Tamara Taynah Medeiros da Silva ◽  
...  

ABSTRACT Objective: To outline the clinical-epidemiological profile of patients submitted to Percutaneous Coronary Intervention in a Reference Hospital in Urgent Cardiology Clinic of the state of Rio Grande do Norte. Method: This is a descriptive, exploratory, prospective study with a quantitative approach developed in a Brazilian University Hospital with patients submitted to Percutaneous Coronary Intervention. Data collection occurred between April and October 2017. Results: The sample consisted of 222 patients, of whom 58.10% underwent Elective Percutaneous Coronary Intervention and 41.89% were primary, 65.3% males, with a mean age of 62.7. In comorbidities “Hypertension”, “Acute Myocardial Infarction”, “Current Smoking” and “Physical Inactivity” were highlighted. Conclusion: In the elective patients, there was a high prevalence of risk factors and in patients with urgent cases, high time of total ischemia. It is necessary to create strategies to structure the care line, to improve the effectiveness of treatment and to minimize adverse outcomes.


Author(s):  
Rónán O’Caoimh ◽  
Maria Costello ◽  
Cliona Small ◽  
Lynn Spooner ◽  
Antoinette Flannery ◽  
...  

Early identification of frailty through targeted screening can facilitate the delivery of comprehensive geriatric assessment (CGA) and may improve outcomes for older inpatients. As several instruments are available, we aimed to investigate which is the most accurate and reliable in the Emergency Department (ED). We compared the ability of three validated, short, frailty screening instruments to identify frailty in a large University Hospital ED. Consecutive patients aged ≥70 attending ED were screened using the Clinical Frailty Scale (CFS), Identification of Seniors at Risk Tool (ISAR), and the Programme on Research for Integrating Services for the Maintenance of Autonomy 7 item questionnaire (PRISMA-7). An independent CGA using a battery of assessments determined each patient’s frailty status. Of the 280 patients screened, complete data were available for 265, with a median age of 79 (interquartile ±9); 54% were female. The median CFS score was 4/9 (±2), ISAR 3/6 (±2), and PRISMA-7 was 3/7 (±3). Based upon the CGA, 58% were frail and the most accurate instrument for separating frail from non-frail was the PRISMA-7 (AUC 0.88; 95% CI:0.83–0.93) followed by the CFS (AUC 0.83; 95% CI:0.77–0.88), and the ISAR (AUC 0.78; 95% CI:0.71–0.84). The PRISMA-7 was statistically significantly more accurate than the ISAR (p = 0.008) but not the CFS (p = 0.15). Screening for frailty in the ED with a selection of short screening instruments, but particularly the PRISMA-7, is reliable and accurate.


Open Heart ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. e001248
Author(s):  
Taizo Yoshida ◽  
Satoshi Shoji ◽  
Yasuyuki Shiraishi ◽  
Masataka Kawana ◽  
Takashi Kohno ◽  
...  

BackgroundRisk prediction for hospitalised heart failure (HF, HHF) patients remains suboptimal. We aimed to determine the prognostic value of hospital food intake (FI) immediately before discharge among HHF patients.MethodWe analysed the data of 255 HHF patients extracted from the records of a single university hospital. The FI percentage of the three meals the day before hospital discharge was averaged. Patients were stratified into adequate FI (100% consumption) and inadequate FI (less than 100% consumption) groups. The primary outcome was the composite of all-cause mortality and/or HF readmission within 1 year.ResultsOnly 49.3% of HHF patients consumed 100% of their meals. Patients with inadequate FI were older; predominantly women; and had a lower body mass index, higher brain natriuretic peptide levels and Clinical Frailty Scale scores at discharge than those with adequate FI. Inadequate FI was significantly associated with adverse outcomes after adjustments (HR 2.00; 95% CI 1.09 to 3.67; p=0.026). The effect of interaction by ejection fraction (EF) was highly significant: HF with preserved EF (≥40%) was significantly associated with inadequate FI with adverse outcomes (HR 4.95; 95% CI 1.71 to 14.36; p=0.003) but HF with reduced EF (<40%) was not (HR 0.77; 95% CI 0.31 to 1.95; p=0.590).ConclusionsThe hospital FI assessment might be a simple, useful tool for predicting and stratifying risk for HHF patients.


Geriatrics ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 11
Author(s):  
Christopher N. Osuafor ◽  
Catriona Davidson ◽  
Alistair J. Mackett ◽  
Marie Goujon ◽  
Lelane Van Der Poel ◽  
...  

Introduction: We describe the clinical features and inpatient trajectories of older adults hospitalized with COVID-19 and explore relationships with frailty. Methods: This retrospective observational study included older adults admitted as an emergency to a University Hospital who were diagnosed with COVID-19. Patient characteristics and hospital outcomes, primarily inpatient death or death within 14 days of discharge, were described for the whole cohort and by frailty status. Associations with mortality were further evaluated using Cox Proportional Hazards Regression (Hazard Ratio (HR), 95% Confidence Interval). Results: 214 patients (94 women) were included of whom 142 (66.4%) were frail with a median Clinical Frailty Scale (CFS) score of 6. Frail compared to nonfrail patients were more likely to present with atypical symptoms including new or worsening confusion (45.1% vs. 20.8%, p < 0.001) and were more likely to die (66% vs. 16%, p = 0.001). Older age, being male, presenting with high illness acuity and high frailty were independent predictors of death and a dose–response association between frailty and mortality was observed (CFS 1–4: reference; CFS 5–6: HR 1.78, 95% CI 0.90, 3.53; CFS 7–8: HR 2.57, 95% CI 1.26, 5.24). Conclusions: Clinicians should have a low threshold for testing for COVID-19 in older and frail patients during periods of community viral transmission, and diagnosis should prompt early advanced care planning.


Critical Care ◽  
2021 ◽  
Vol 25 (1) ◽  
Author(s):  
William Beaubien-Souligny ◽  
Alan Yang ◽  
Gerald Lebovic ◽  
Ron Wald ◽  
Sean M. Bagshaw

Abstract Background Frailty status among critically ill patients with acute kidney injury (AKI) is not well described despite its importance for prognostication and informed decision-making on life-sustaining therapies. In this study, we aim to describe the epidemiology of frailty in a cohort of older critically ill patients with severe AKI, the outcomes of patients with pre-existing frailty before AKI and the factors associated with a worsening frailty status among survivors. Methods This was a secondary analysis of a prospective multicentre observational study that enrolled older (age > 65 years) critically ill patients with AKI. The clinical frailty scale (CFS) score was captured at baseline, at 6 months and at 12 months among survivors. Frailty was defined as a CFS score of ≥ 5. Demographic, clinical and physiological variables associated with frailty as baseline were described. Multivariable Cox proportional hazard models were constructed to describe the association between frailty and 90-day mortality. Demographic and clinical factors associated with worsening frailty status at 6 months and 12 months were described using multivariable logistic regression analysis and multistate models. Results Among the 462 patients in our cohort, median (IQR) baseline CFS score was 4 (3–5), with 141 (31%) patients considered frail. Pre-existing frailty was associated with greater hazard of 90-day mortality (59% (n = 83) for frail vs. 31% (n = 100) for non-frail; adjusted hazards ratio [HR] 1.49; 95% CI 1.11–2.01, p = 0.008). At 6 months, 68 patients (28% of survivors) were frail. Of these, 57% (n = 39) were not classified as frail at baseline. Between 6 and 12 months of follow-up, 9 (4% of survivors) patients transitioned from a frail to a not frail status while 10 (4% of survivors) patients became frail and 11 (5% of survivors) patients died. In multivariable analysis, age was independently associated with worsening CFS score from baseline to 6 months (adjusted odds ratio [OR] 1.08; 95% CI 1.03–1.13, p = 0.003). Conclusions Pre-existing frailty is an independent risk factor for mortality among older critically ill patients with severe AKI. A substantial proportion of survivors experience declining function and worsened frailty status within one year.


2021 ◽  
Vol 12 ◽  
pp. 215013272110109
Author(s):  
Sanjeev Nanda ◽  
Loren Toussaint ◽  
Ann Vincent ◽  
Karen M. Fischer ◽  
Ryan Hurt ◽  
...  

Objective To describe the process and outcome of creating a patient cohort in the early stages of the COVID-19 pandemic in order to better understand the process of and predict the outcomes of COVID-19. Patients and Methods A total of 1169 adults aged 18 years of age or older who tested positive in Mayo Clinic Rochester or the Mayo Clinic Midwest Health System between January 1 and May 23 of 2020. Results Patients were on average 43.9 years of age and 50.7% were female. Most patients were white (69.0%), and Blacks (23.4%) and Asians (5.8%) were also represented in larger numbers. Hispanics represented 16.3% of the sample. Just under half of patients were married (48.4%). Common comorbid conditions included: cardiovascular diseases (25.1%), dyslipidemia (16.0%), diabetes mellitus (11.2%), chronic obstructive pulmonary disease (6.6%), asthma (7.5%), and cancer (5.1%). All other comorbid conditions were less the 5% in prevalence. Data on 3 comorbidity indices are also available including the: DHHS multi-morbidity score, Charlson Comorbidity Index, and Mayo Clinic COVID-19 Risk Factor Score. Conclusion In addition to managing the ever raging pandemic and growing death rates, it is equally important that we develop adequate resources for the investigation and understanding of COVID-19-related predictors and outcomes.


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