The Prevalence of Delirium in An Older Acute Surgical Population and Its Effect on Outcome

The Impact of Perioperative and Predisposing Risk Factors on the Development of Postoperative Delirium and a Possible Gender Difference

(1) Background: Postoperative delirium (POD) is an undesirable event especially for older patients after surgery. Perioperative risks for POD development are multiple, but gender differences are still poorly considered. In this observational study, predisposing and precipitating risk factors of POD and the possible gender influence are distinguished. (2) Methods: This observational prospective trial enrolled 1097 patients in a tertiary hospital from September 2018 until October 2019. POD was considered positive, if one of the tests Confusion Assessment Method for ICU (CAM-ICU) or Confusion Assessment Method (CAM), 4 'A's Test (4AT) or Delirium Observation Screening (DOS) scale was positive on one of five assessment days. (3) Results: POD incidence was 23.5% and the mean age of study population was 72.3 ± 7.3 years. The multiple logistic regression model showed a significant impact of age (Odds Ratio (OR) 1.74; 95% Confidence Interval (CI): 1.37-2.22), American Society of Anesthesiologists (ASA) (OR 1.67; 95% CI: 1.25-2.26), surgery risk (OR 2.10; 95% CI: 1.52-2.95) and surgery duration (OR 1.17; 95% CI: 1.07-1.28), ventilation time (OR 1.64; 95% CI: 1.27-2.24), as well as the male sex (OR 1.74; 95% CI: 1.37-2.22) on POD risk. (4) Conclusions: Perioperative and predisposing risk factors had an impact on the development of POD. The influence of male sex should be considered in future research.

Postoperative delirium is an independent factor influencing the length of stay of elderly patients in the intensive care unit and in hospital

Purpose

Postoperative delirium (POD) is an often unrecognized adverse event in older people after surgery. The aim of this subgroup analysis of the PRe-Operative Prediction of postoperative DElirium by appropriate SCreening (PROPDESC) trial in patients aged 70 years and older was to identify preoperative risk factors and the impact of POD on length of stay (LOS) in intensive care unit (ICU) and hospital.

Methods

Of the total 1097 patients recruited at a German university hospital (from September 2018 to October 2019) in the PROPDESC prospective observational study, 588 patients aged 70 years and older (mean age 77.2 ± 4.7 years) were included for subgroup analysis. The primary endpoint POD was considered positive if one of the following tests were positive on any of the five postoperative visit days: Confusion Assessment Method for ICU (CAM-ICU), Confusion Assessment Method (CAM), 4'A's (4AT) and Delirium Observation Scale (DOS). Trained doctoral students carried out these visitations and additionally the nursing staff were interviewed for completion of the DOS. To evaluate the independent effect of POD on LOS in ICU and in hospital, a multi-variable linear regression analysis was performed.

Results

The POD incidence was 25.9%. The results of our model showed POD as an independent predictor for a prolonged LOS in ICU (36%; 95% CI 4–78%; < 0.001) and in hospital (22%; 95% CI 4–43%; < 0.001).

Conclusion

POD has an independent impact on LOS in ICU and in hospital. Based on the effect of POD for the elderly, a standardized risk screening is required.

Trail registration

German Registry for Clinical Studies: DRKS00015715.

Study protocol for the COPE study: COVID-19 in Older PEople: the influence of frailty and multimorbidity on survival. A multicentre, European observational study

INTRODUCTION

This protocol describes an observational study which set out to assess whether frailty and/or multimorbidity correlates with short-term and medium-term outcomes in patients diagnosed with COVID-19 in a European, multicentre setting.

METHODS AND ANALYSIS

Over a 3-month period we aim to recruit a minimum of 500 patients across 10 hospital sites, collecting baseline data including: patient demographics; presence of comorbidities; relevant blood tests on admission; prescription of ACE inhibitors/angiotensin receptor blockers/non-steroidal anti-inflammatory drugs/immunosuppressants; smoking status; Clinical Frailty Score (CFS); length of hospital stay; mortality and readmission. All patients receiving inpatient hospital care >18 years who receive a diagnosis of COVID-19 are eligible for inclusion. Long-term follow-up at 6 and 12 months is planned. This will assess frailty, quality of life and medical complications.Our primary analysis will be short-term and long-term mortality by CFS, adjusted for age (18-64, 65-80 and >80) and gender. We will carry out a secondary analysis of the primary outcome by including additional clinical mediators which are determined statistically important using a likelihood ratio test. All analyses will be presented as crude and adjusted HR and OR with associated 95% CIs and p values.

ETHICS AND DISSEMINATION

This study has been registered, reviewed and approved by the following: Health Research Authority (20/HRA1898); Ethics Committee of Hospital Policlinico Modena, Italy (369/2020/OSS/AOUMO); Health and Care Research Permissions Service, Wales; and NHS Research Scotland Permissions Co-ordinating Centre, Scotland. All participating units obtained approval from their local Research and Development department consistent with the guidance from their relevant national organisation.Data will be reported as a whole cohort. This project will be submitted for presentation at a national or international surgical and geriatric conference. Manuscript(s) will be prepared following the close of the project.