Figures
Abstract
Background
Early identification of patients at risk for delirium is important, since adequate well timed interventions could prevent occurrence of delirium and related detrimental outcomes. The aim of this study is to evaluate prognostic factors for delirium, including factors describing frailty, in elderly patients undergoing major surgery.
Methods
We included patients of 65 years and older, who underwent elective surgery from March 2013 to November 2014. Patients had surgery for Abdominal Aortic Aneurysm (AAA) or colorectal cancer. Delirium was scored prospectively using the Delirium Observation Screening Scale. Pre- and peri-operative predictors of delirium were analyzed using regression analysis. Outcomes after delirium included adverse events, length of hospital stay, discharge destination and mortality.
Results
We included 232 patients. 51 (22%) underwent surgery for AAA and 181 (78%) for colorectal cancer. Postoperative delirium occurred in 35 patients (15%).
Predictors of postoperative delirium included: delirium in medical history (Odds Ratio 12 [95% Confidence Interval 2.7–50]), advancing age (Odds Ratio 2.0 [95% Confidence Interval 1.1–3.8]) per 10 years, and ASA-score ≥3 (Odds Ratio 2.6 [95% Confidence Interval 1.1–5.9]). Occurrence of delirium was related to an increase in adverse events, length of hospital stay and mortality.
Conclusion
Postoperative delirium is a frequent complication after major surgery in elderly patients and is related to an increase in adverse events, length of hospital stay, and mortality. A delirium in the medical history, advanced age, and ASA-score may assist in defining patients at increased risk for delirium. Further attention to prevention of delirium is essential in elderly patients undergoing major surgery.
Citation: Raats JW, van Eijsden WA, Crolla RMPH, Steyerberg EW, van der Laan L (2015) Risk Factors and Outcomes for Postoperative Delirium after Major Surgery in Elderly Patients. PLoS ONE 10(8): e0136071. https://doi.org/10.1371/journal.pone.0136071
Editor: Alessandra Marengoni, University of Brescia, ITALY
Received: March 19, 2015; Accepted: July 29, 2015; Published: August 20, 2015
Copyright: © 2015 Raats et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: The authors received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Introduction
The number of people over 65 years is increasing and will continue to do so over the coming decades. Similarly, the number of elderly patients requiring surgery is expected to increase. Delirium is a common and serious problem in hospitalized patients, especially in the elderly. Postoperative delirium is associated with an increase in postoperative complications, a decrease in functional capacity, a prolonged hospital stay and a direct increase of healthcare costs [1–6].
Early identification of patients at risk for delirium is important because adequate well timed interventions could prevent occurrence of delirium and the related detrimental outcome.
Several prediction models have been developed, including multiple risk factors for postoperative delirium [7–9]. However, these studies are of varying quality and each with a heterogeneous population.
Measuring frailty may be a more sensitive marker of determining post-operative delirium [10]. However, to this date, there is no consensus on a clear definition and quantification of frailty. Several assessment instruments have been developed for frailty during the last decades. The most evidence based process to identify frail patients at this moment is comprehensive geriatric assessment. However, this is a resource intensive, time consuming process and therefore not suitable for clinical practice [11,12].
Preventing delirium is probably most effective in elective surgery because preventive actions could be initiated timely. Aortic Abdominal Aneurysm (AAA) and colorectal surgery are among the most performed elective major interventions and are hence of interest to study in detail. The primary objective of this study was to evaluate predictors of delirium, including factors describing frailty, in elderly patients undergoing elective colorectal or AAA surgery. Secondary outcome measures were the clinical consequences of delirium including adverse events, length of stay and mortality.
Methods
Patient selection
We prospectively registered data on patients of 65 years and older, who underwent surgery from March 2013 to November 2014. All patients underwent surgery in an elective setting at the Amphia Hospital, Breda, the Netherlands. We included patients having surgery for AAA and colorectal cancer. Exclusion criteria were: patients who were discharged within 2 days, patients receiving non-operative treatment, and patients who underwent non-elective (emergency) surgery. Emergency surgery included ruptured or symptomatic AAA surgery, or colorectal surgery with pre-operative obstructive ileus, active bleeding from colorectal cancer resulting in hemodynamic instability or perforation of bowel. The medical ethical committee of the Amphia Hospital in Breda, the Netherlands, permitted this project and waived informed consent.
Delirium
Delirium was scored prospectively using the Delirium Observation Screening Scale (DOSS) [13,14]. The scale used was a shortened version with 13 items and was scored three times a day by a nurse while providing regular care. All patients were seen on a daily basis by a physician. When delirium was present or suspected a geriatrician was consulted, and the diagnosis was confirmed using the DSM-IV criteria. A delirium was diagnosed if the patient had a Delirium Observational Screening Scale (DOSS) score of ≥3. All types of delirium were included (hypoactive, hyperactive and mixed form). All patients were evaluated for pre- and peri-operative characteristics.
Predictors of delirium: factors related to frailty
We collected data on main factors related to frailty and subsequently analysed them if prevalence was increased in patients with delirium compared to non-delirious patients.
A standardized history was taken to document comorbidity (cardiac, pulmonary, neurological and renal) of all included patients. Cardiac comorbidity included valve disorders, arrythmia’s, heart failure and ischemic heart disease. Pulmonary comorbidity included chronic obstructive pulmonary disease. Neurological comorbidity included dementia, cerebrovascular accidents, epilepsy or Parkinson's disease. Renal comorbidity included renal impairment defined as a glomerular filtration rate (GFR) of ≤60 ml/min/1.73m2. Known predictive factors of postoperative delirium were collected: delirium in the patient’s history, visual and/or hearing impairment, daily alcohol use, smoking, hypertension, hypercholesterolemia and diabetes mellitus. All patients underwent a structured interview on admission assessing these parameters.
The American Society of Anesthesiologist (ASA) status was determined before surgery, from history and physical examination by the attending anesthesiologist.
Functional autonomy was assesed using the basic Activities of Daily Living (ADL) using the Katz-Scale. The inability to complete one or more ADLs was used as cutoff point for physical impairment [15].
Nutritional status was measured using the SNAQ-RC score [16]. A SNAQ-RC Score of 3 or more indicates severe undernourishment.
We were able to prospectively collect the relevant parameters during the study period using a full electronic patient file: Hyperspace Version IU4 (Epic Inc., Verona, Wisconsin, USA) [17]. All collected patient records and information was anonymized and de- identified prior to analysis.
Predictors of delirium: operative data, hemoglobin and blood transfusion
Anesthesia time was calculated as the duration between tracheal in- and extubation.
Patients underwent surgery for colorectal carcinoma with epidural anaesthesia as a sole technique or as an adjunct to general anaesthesia. All patients who had AAA surgery received general anaesthesia. Patients were treated following the Dutch Society of Anaesthesiologists (NVA) guidelines. Patients had epidural anaesthesia as part of the fast-track protocol [18]. When epidural anesthesia was not eligible (in case of allergies or coagulopathy), as an alternative, a Patient-Controlled analgesia pump (PCA-pump) with Morfine was described.
Hemoglobin (Hb) levels were obtained pre- and post-operatively. Anemia was defined as a Hb <7.6 mmol/L for women and <8.2 mmol/L for men [19]. The amount of peri-operative transfused Packed Cells was listed. Type of surgery was noted for AAA (open repair or endovascular aortic repair (EVAR)) and colorectal cancer (laparotomy or laparoscopic surgery).
Secondary outcome: consequences of delirium
During follow-up, data on mortality, hospital (surgical ward) stay, and Intensive Care Unit (ICU) stay were registered. Patients having open AAA surgery were admitted to the ICU for at least 24 hours following our hospital protocols. Mortality data were calculated using using the COMPET&T database from the company T&T Eindhoven. Patient destination after hospital discharge was noted (home or new nursing home client). Adverse events were collected during the first 30 postoperative days following the definition as defined by the Association of Surgeons of the Netherlands [20,21].
Statistics
Sample size.
Based on previously published studies concerning risk factors of delirium in our hospital, we made an estimation of required sample size [22]. We used the general rule of aiming for 10 events per variable to motivate the sample size.
Data analysis.
Statistical analysis was performed with SPSS Version 20.0 (SPSS Inc., Chicago, Illonis, USA) software. Univariate analyses (Student t-test and Mann-Whitney U test for continuous data and Chi-square or Fisher exact test or dichotomous data) were performed to evaluate factors that were associated with postoperative delirium.
Pre- and intraoperative parameters that varied significantly (p < 0.05) between delirious and non-delirious patients in the univariate analysis were included in a multivariable analysis. Results with a P value < .05 were considered statistically significant.
Results
A total of 232 patients were included in this study, 51 (22%) having surgery for AAA and 181 (78%) having surgery for colorectal cancer. Postoperative delirium occurred in 35 (15%; 8 after AAA surgery (16%) and 27 after colorectal surgery (15%), p = 0.89). Patients having colorectal surgery were older (median 75 years; Interquartile Range (IQR) 10) compared to patients undergoing AAA surgery (median 73 years; IQR 9), p = 0.022.
For the 51 AAA patients, 25 (49%) underwent endovascular aneurysm repair (EVAR), and 26 (51%) underwent an open AAA repair using an aortoaortic “straight tube” graft or bifurcated prostheses (Table 1). Delirium was observed in 7 patients after open repair (27%) and in only one patient after EVAR (4%) p = 0.050. Patients developed a delirium more frequently after laparotomy (20%) compared to patients having laparoscopic surgery (8%, p = 0.024).
Pre-operative factors
Pre-operative factors for delirium were analyzed comparing the delirious patients (n = 35) to the non-delirious patients (n = 197). The delirious patients were significantly older (median 80 years; IQR 7) compared to the non-delirious patients (median 75 years; IQR 10), p<0.001. Among the delirious patients, a delirium in the medical history was reported far more frequently (20%) compared to non-delirious patients (2%; p = <0.001).
Physical impairment (Katz-ADL<6) was observed in 29% of the patients who developed a delirium vs. 12% of the patients without a delirium (p = 0.012). An ASA score of 3 or higher was more frequently observed in the patients who developed a delirium (66%) vs. the patients who were non-delirious (34%; p = <0.001, Table 2).
Hemoglobin and blood transfusion
Pre-operative hemoglobin levels were lower in the delirious patients (median 7.2 mmol/L; IQR 2.1) compared to the non-delirious patients (median 7.9 mmol/L; IQR 1.7), p = 0.025). Data on all variables in relation to onset of postoperative delirium are summarized in Table 3.
Multivariable analysis
Important risk factors for postoperative delirium were delirium in the medical history (Odds Ratio 12 [95% Confidence Interval 2.7–50]), advancing age (Odds Ratio 2.0 [95% Confidence Interval 1.1–3.8]) per 10 years, and ASA-score ≥3 (Odds Ratio 2.6 [95% Confidence Interval 1.1–5.9], Table 4). The area under the receiver operating characteristic (ROC) curve based on these 3 predictors was 0.76 [95% Confidence Interval 0.66–0.85].
Outcome after delirium
Several adverse events were more frequently observed in the delirious patients compared to the non-delirious patients. These included pulmonary and cardiac adverse events, renal impairment and urinary retention (Table 5). No differences in surgery related adverse events were observed.
The total length of hospital stay was higher (median 12 days; IQR 12) in the delirious patients vs. the non-delirious patients (median 7 days; IQR 5), p = <0.001.
Intensive Care Unit (ICU) stay for 2 days or longer was observed more frequently in patients with a delirium (49%) compared to patients without a delirium (16%, p = <0.001). Occurrence of delirium was related to an increase in length of hospital stay (plus 7.7 days) and ICU stay (plus 2.1 days), after adjustment for age, delirium in medical history, Katz-ADL score, ASA score and pre-operative anemia.
Thirty-day mortality was significantly higher (9%) in the delirious patients compared to the non-delirious patients (1%, p = 0.011, Table 5). This difference remained statistically significant in a logistic regression model that corrected for age, ASA score and previous delirium.
Patients with a delirium had a significantly higher mortality compared to the non-delirious patients (p = 0.015, Fig 1).
Discussion
The number of elderly patients undergoing elective major abdominal surgery for AAA or colorectal cancer is expected to increase. As high age is a main risk factor for delirium, identification of patients at risk for delirium is of major importance. Delirium is related to an increase in morbidity, mortality, length of stay and care home placement [23]. Most importantly, delirium could be prevented in approximately 30–40% of the cases [24,25]. Research concerning postoperative delirium is increasing. However, large reliable studies on predictors of postoperative delirium are rare and most studies focus on cardiac- or orthopedic surgery [26].
Our reported incidence rate of post-operative delirium (15%) is comparable with other studies in recent literature (11–18%) [12,27–29]. Patients developed a delirium more often after open repair (27%) compared to EVAR (4%). Despite the minimal invasive nature of the EVAR technique, previous RCT studies reported similar results of EVAR and open repair for elective AAA surgery [30,31]. Interestingly, the delirium-related costs were not included in previous cost-analysis reporting EVAR is not cost-effective compared with open repair [32]. For elderly patients at risk for delirium, EVAR could be preferable to open surgery.
Both minimal invasive surgical techniques (EVAR and laparoscopic surgery) were associated with lower rates of post-operative delirium. Probably, this could be explained by selection bias. Patients with or colorectal cancer in a more advanced stage may have been more likely to undergo open surgery. In addition, more extensive surgery may have contributed to increased postoperative pain and use of narcotics.
As delirium was more frequently observed after open surgery, decisions regarding surgical approach (laparoscopic or open surgery) for the treatment of colon cancer should be taken into consideration, especially in elderly patients at risk for delirium.
A previous delirium, advancing age, and ASA-score were identified as independent risk factors for delirium. However, it is important to keep in mind that delirium in the patients’ medical history was not highly prevalent in this study population. The identified predictive factors are also reported in earlier studies, but are largely based on non-abdominal surgery patient populations [33–35]. Prevalence of delirium increases with age. At multivariable analysis, we identified age as an independent predictor of delirium, consistent with literature [10]. This may explain why factors describing frailty, such as physical impairment, nutritional status, living arrangement, visual and hearing impairment, were not significant after multivariable correction.
We found that 31% (19/61) of the octogenarians developed a postoperative delirium. This is of major importance, as population projections indicate that the number of octogenarians will double during the next 30 years [36]. Reports on incidence rates of delirium after emergency major surgery are higher (18–33%), but are not uniform. This may be explained by the large heterogeneity of included populations and the use of different diagnostic tools and procedures [37–39]. Many non-pharmalogical preventive interventions, for example help in patient orientation, care for auditive and visual impairment, ensuring the day-sleep cycle, prevention of dehydration and malnutrition, have proved highly effective in an elective setting but are not easily translatable to an emergency setting [40]. In addition, timely direct treatment or optimization of identified predictive factors could potentially help in reducing delirium. However, most factors are not suitable for optimization because they are irreversible (i.e. age, ASA-score, delirium in patients’ history). Still, preventive strategies should be initiated in these patients identified as at risk for delirium. In this study this included preventive nursing actions such as help in patients orientation, care for auditory and visual impairment, prevention of dehydration and malnutrition. When necessary, low dose prophylactic anti-psychotic (Haloperidol) was prescribed based on judgement of the consulting geriatrician.
Another interesting observation in our study is the role of pre-operative hemoglobin and delirium. Böhner et al, did not find that pre-operative hemoglobin was linked to postoperative delirium after vascular surgery [26]. In contrast, Joostens et al found that in men, decreased pre-operative hemoglobin levels increased the risk of postoperative delirium in geriatric patients [41]. In our study, hemoglobin levels were not predictive of delirium after multivariable analysis with correction for confounders.
In case of elective major surgery, pre-operative treatment to increase hemoglobin levels might possibly prevent occurrence of postoperative delirium. Further research is required to explore this.
Delirium was related to multiple adverse events and increase in hospital stay. The question of whether delirium is a symptom of other postoperative complications or whether a delirium increases the risk of postoperative adverse events remains to be answered [42]. For instance, delirium could be a complication of an acquired pneumonia. On the other hand, pneumonia could be a result of aspiration provoked by delirium. In this study it remains unknown if the increased incidence of other adverse events are a cause or an effect of postoperative delirium. Probably, reducing occurrence of postoperative delirium could reduce the associated adverse outcomes and subsequently reduce costs.
Limitations
In this study we used a DOSS-score of ≥3 as highly indicative for delirium. Despite the use of a validated instrument, this may be an imperfect reflection of delirium. Our reported results could be an underestimation of delirium incidence by missing clinical subtypes such as the hypoactive delirium. Patients were not screened for psychiatric disease by admission. This is a limitation since earlier studies identified depression as an idepentent risk factor for delirium [43].
We included AAA and colorectal surgery patients and performed a pooled multivariable analysis. This may have led to a less correct identification of possible risk factors for delirium per disease group. However, incidence rates of post-operative delirium were comparable in both groups.
Medication, data regarding the anesthesia protocol and perioperative pain therapy was not included as possible predictor for delirium in this study. However, several earlier studies confirmed medication as a risk factor for postoperative delirium and therefore this should be included in further research. This is of great importance, because the increase of the elderly population, also the number of frail elderly with multimorbidity and polypharmacy will increase in future. In addition, medication could be an easy modifiable risk factor.
Another limitation of this study is the restriction of data collection to one hospital, although we consider this center representative for European large non-academic hospitals.
Finally, the number of patients in the present study does not permit strong conclusions, particularly since the numbers of patients with a delirium were relatively small. A prediction model for delirium in elderly having major elective surgery should be developed in larger series, with attention to validation and updating of existing prediction models [44].
Conclusions
A delirium in the medical history, advanced age, and ASA-score may assist in defining patients at increased risk for delirium. Postoperative delirium is a frequent complication among elderly patients. Since occurrence of delirium is related to an increase in adverse events, length of hospital stay and mortality, further attention for prevention of delirium is essential in elderly patients undergoing major surgery.
Supporting Information
S1 File. Data are available on request from the institutional review board (Advisory commission involving Human Subjects Research Amphia Hospital-AMOA) of the Amphia hospital.
https://doi.org/10.1371/journal.pone.0136071.s001
(PDF)
Author Contributions
Conceived and designed the experiments: JR WE RC ES LL. Performed the experiments: JR WE RC LL. Analyzed the data: JR WE ES LL. Contributed reagents/materials/analysis tools: JR WE RC ES LL. Wrote the paper: JR WE ES LL.
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