Is preoperative anxiety associated with postoperative delirium in older persons undergoing cardiac surgery? Secondary data analysis of a randomized controlled trial

PAS-7 is Superior to APAIS for Assessing Preoperative Anxiety in the Chinese Population

PURPOSE

The purpose of this study was to analyze the reliability and validity of the Perioperative Anxiety Scale-7 (PAS-7), which was created by Chinese medical professionals, by using the State-Trait Anxiety Scale (STAI-S) as the standard for the diagnosis of preoperative anxiety, and to compare whether there is a difference between the PAS-7 and the Amsterdam Preoperative Anxiety and Information Scale (APAIS) in the diagnosis of preoperative anxiety in the Chinese population.

DESIGN

This study was an observational study.

METHODS

The PAS-7, APAIS, and STAI-S were all completed the day before surgery. The internal consistency test was used to evaluate the scale's reliability, and exploratory factor analysis and confirmatory factor analysis were used to assess the scale's construct validity. Pearson correlation was used to analyze the correlation between PAS-7 and STAI-S, and APAIS. The area under the receiver operating characteristic (ROC) curve was used to compare the diagnostic value of PAS-7 and APAIS.

FINDINGS

The PAS-7 Cronbach's α coefficient was 0.804. The indicators of the overall fitting coefficient were within the acceptable range. PAS-7 scores correlated well with STAI-S and APAIS scores (P < .01). The area under the ROC curve of PAS-7 was 0.808 (0.752-0.856), and the area under the ROC curve of APAIS was 0.674 (0.611-0.733). The difference between areas was 0.133 (0.0612-0.206), P < .001, and the diagnostic value of PAS-7 was higher than that of APAIS.

CONCLUSIONS

The PAS-7 scale has high reliability and validity and can be used to assess preoperative anxiety in patients undergoing elective surgery. PAS-7 is superior to APAIS for assessing preoperative anxiety in the Chinese population.

Cardiomyopathies and Psychiatric Disorders: An Overview and General Clinical Recommendations

The association between cardiomyopathies (CMPs) and psychiatric disorders is a complex and bidirectional phenomenon that involves multiple mechanisms and factors. CMPs may raise the risk of psychiatric disorders due to the psychological stress, physical limitations, social isolation, or poor prognosis associated with the underlying disease. Psychiatric disorders, on the other hand, can increase the possibility of developing or worsening CMPs due to the behavioral, neuroendocrine, inflammatory, or pharmacological effects of mental illness or its treatment. Moreover, some common genetic or environmental factors may have a relevant influence on both conditions. With this comprehensive review, we sought to provide an overview of the current evidence on the strict and intriguing interconnection between CMPs and psychiatric disorders, focusing on the epidemiology, pathophysiology, clinical implications, and management strategies.

Perioperative neurocognitive disorder changes in elderly diabetes patients within 30 days after surgery: a retrospective cohort study

BACKGROUND

Perioperative neurocognitive disorders (PND) are a common central nervous system complication that predominantly affects the elderly. PND after surgery includes postoperative delirium (POD), delayed neurocognitive recovery up to 30 days (DNR), and postoperative neurocognitive disorder up to 12 months. Diabetes is an important independent risk factor for PND. Over the years, few studies have assessed the incidence of PND and the difference in serum biomarkers between diabetic and non-diabetic patients. We sought to examine the difference in the incidence of PND between elderly diabetic and non-diabetic patients in China and identify the risk factors of PND in elderly diabetics.

METHODS

We conducted a secondary and exploratory data analysis from our prior studies, including patients aged 65 years or older who underwent non-cardiac elective surgery with general anesthesia. We used the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) and Montreal Cognitive Assessment (MoCA) to assess patient cognition.

RESULTS

A total of 236 patients were analyzed; the incidence of PND was significantly higher in diabetic than in non-diabetic patients within 30 days (59.2% vs. 36.8%) (P = 0.022). Multivariate logistic regression analysis showed that the preoperative MoCA was an independent risk factor for PND (odds ratio, 0.88 [0.8 to 0.97]; P = 0.014), and Hosmer-Lemeshow tests showed that it could predict PND in diabetic patients (P = 0.360). According to the maximum Youden index, the optimal cutoff for preoperative MoCA was 21.5 points, yielding a specificity and sensitivity of 88.0% and 55.2% for PND. The levels of glial fibrillary acidic protein (GFAP) and Tau in diabetic patients before and after surgery were significantly higher than in non-diabetic patients among cases of PND (P = 0.002 and 0.011, respectively).

CONCLUSION

The incidence of PND is higher in diabetic than in non-diabetic patients in China, and preoperative MoCA is an independent risk factor for PND in diabetics. Meanwhile, the changes in GFAP and p-Tau in diabetic patients who experienced PND were significantly higher than in non-diabetic ones.

Preoperative Anxiety Impact on Anesthetic and Analgesic Use

Anxiety is a complex emotional state that can arise from the anticipation of a threatening event, and preoperative anxiety is a common experience among adult patients undergoing surgery. In adult patients, the incidence of preoperative anxiety varies widely across different surgical groups, and it can result in a variety of psychophysiological responses and problems. Despite its negative impact, preoperative anxiety often receives insufficient attention in clinical practice. To improve pain management strategies, there is a need for further research on personalized approaches that take into account various factors that contribute to an individual's pain experience. These personalized approaches could involve developing tools to identify individuals who are more likely to experience increased pain and may require additional analgesia. To address this, regular assessments of anxiety levels should be conducted during preoperative visits, and counseling should be provided to patients with high levels of anxiety. Identifying and addressing preoperative anxiety in a timely manner can help reduce its incidence and potential consequences.

Machine learning for prediction of delirium in patients with extensive burns after surgery

AIMS

Machine learning-based identification of key variables and prediction of postoperative delirium in patients with extensive burns.

METHODS

Five hundred and eighteen patients with extensive burns who underwent surgery were included and randomly divided into a training set, a validation set, and a testing set. Multifactorial logistic regression analysis was used to screen for significant variables. Nine prediction models were constructed in the training and validation sets (80% of dataset). The testing set (20% of dataset) was used to further evaluate the model. The area under the receiver operating curve (AUROC) was used to compare model performance. SHapley Additive exPlanations (SHAP) was used to interpret the best one and to externally validate it in another large tertiary hospital.

RESULTS

Seven variables were used in the development of nine prediction models: physical restraint, diabetes, sex, preoperative hemoglobin, acute physiological and chronic health assessment, time in the Burn Intensive Care Unit and total body surface area. Random Forest (RF) outperformed the other eight models in terms of predictive performance (ROC:84.00%) When external validation was performed, RF performed well (accuracy: 77.12%, sensitivity: 67.74% and specificity: 80.46%).

CONCLUSION

The first machine learning-based delirium prediction model for patients with extensive burns was successfully developed and validated. High-risk patients for delirium can be effectively identified and targeted interventions can be made to reduce the incidence of delirium.

Factors influencing the preoperative anxiety in lung cancer patients undergoing video-assisted thoracoscopic surgery: The role of information needs, illness perception and patient trust

OBJECTIVES

This study aimed to investigate preoperative anxiety in patients with lung cancer scheduled for video-assisted thoracoscopic surgery (VATS) and explore the influence of demographic factors, information needs, illness perception, and patient trust in preoperative anxiety.

METHODS

This cross-sectional study was conducted at a tertiary referral center in China from August 14 to December 1, 2022. Patients with lung cancer (N = 308) scheduled for VATS were evaluated using the Amsterdam Anxiety and Information Scale (APAIS), Brief Illness Perception Questionnaire (BIPQ), and Wake Forest Physician Trust Scale (WFPTS). Multivariate linear regression was employed to determine the independent predictors of preoperative anxiety.

RESULTS

The average total APAIS anxiety score was (10.6 ± 4.2). Of the sample, 48.4% reported high preoperative anxiety (APAIS-A: ≥10). Multivariate linear regression analysis showed that preoperative anxiety was higher in women (B = 0.860); and that preoperative length of stay ≥24 h (B = 0.016), more information needs (B = 0.988), more severe illness perceptions (B = 0.101) and more patient trust (B = -0.078) may lead to higher preoperative anxiety levels.

CONCLUSIONS

Preoperative anxiety is common in patients with lung cancer scheduled for VATS. Therefore, more attention should be paid to women and patients with a preoperative length of stay of ≥24 h. Meeting information needs, transforming positive disease perceptions, and strengthening the doctor-patient trusting relationship are key protective factors for preoperative anxiety.

An Interdisciplinary Reappraisal of Delirium and Proposed Subtypes

An interdisciplinary plenary session entitled "Rethinking and Rehashing Delirium" was held during the 2021 Annual Meeting of the Academy of Consultation-Liaison Psychiatry to facilitate dialog on the prevalent approach to delirium. Panel members included a psychiatrist, neurointensivist, and critical care specialist, and attendee comments were solicited with the goal of developing a statement. Discussion was focused on a reappraisal of delirium and, in particular, its disparate terminology and history in relation to acute encephalopathy. The authors endorse a recent joint position statement that describes acute encephalopathy as a rapidly evolving (<4 weeks) pathobiological brain process that presents as subsyndromal delirium, delirium, or coma and suggest the following points of refinement: (1) to suggest that "delirium disorder" describe the diagnostic construct including its syndrome, precipitant(s), and unique pathophysiology; (2) to restrict the term "delirium" to describing the clinical syndrome encountered at the bedside; (3) to clarify that the disfavored term "altered mental status" may occasionally be an appropriate preliminary designation where the diagnosis cannot yet be specified further; and (4) to provide rationale for rejecting the terms acute brain injury, failure, or dysfunction. The final common pathway of delirium appears to involve higher-level brain network dysfunction, but there are many insults that can disrupt functional connectivity. We propose that future delirium classification systems should seek to characterize the unique pathophysiological disturbances ("endotypes") that underlie delirium and delirium's individual neuropsychiatric symptoms. We provide provisional means of classification in hopes that novel subtypes might lead to specific intervention to improve patient experience and outcomes. This paper concludes by considering future directions for the field. Key areas of opportunity include interdisciplinary initiatives to harmonize efforts across specialties and settings, enhance underrepresented groups in research, integration of delirium and encephalopathy in coding, development of relevant quality and safety measures, and exploration of opportunities for translational science.

Association between preoperative anxiety and postoperative delirium in older patients: a systematic review and meta-analysis

BACKGROUND

Postoperative delirium (POD) is a common postoperative complication associated with multiple adverse consequences on patient outcomes and higher medical expenses. Preoperative anxiety has been suggested as a possible precipitating factor for the development of POD. As such, we aimed to explore the association between preoperative anxiety and POD in older surgical patients.

METHODS

Electronic databases including MEDLINE (via PubMed), EMBASE (via Embase.com), Web of Science Core Collection, Cumulative Index to Nursing and Allied Health Literature (CINAHL Complete; via EBSCOhost) and clinical trial registries were systematically searched to identify prospective studies examining preoperative anxiety as a risk factor for POD in older surgical patients. We used Joanna Briggs Institute Critical Appraisal Checklist for Cohort Studies to assess the quality of included studies. The association between preoperative anxiety and POD was summarized with odds ratios (ORs) and 95% confidence intervals (CIs) using DerSimonian-Laird random-effects meta-analysis.

RESULTS

Eleven studies were included (1691 participants; mean age ranging between 63.1-82.3 years). Five studies used a theoretical definition for preoperative anxiety, with the Anxiety subscale of Hospital Anxiety and Depression Scale (HADS-A) as the instrument being most often used. When using dichotomized measures and within the HADS-A subgroup analysis, preoperative anxiety was significantly associated with POD (OR = 2.17, 95%CI: 1.01-4.68, I² = 54%, Tau² = 0.4, n = 5; OR = 3.23, 95%CI: 1.70-6.13, I² = 0, Tau² = 0, n = 4; respectively). No association was observed when using continuous measurements (OR = 0.99, 95%CI: 0.93-1.05, I² = 0, Tau² = 0, n = 4), nor in the subgroup analysis of STAI-6 (six-item version of state scale of Spielberger State-Trait Anxiety Inventory, OR = 1.07, 95%CI: 0.93-1.24, I² = 0, Tau² = 0, n = 2). We found the overall quality of included studies to be moderate to good.

CONCLUSIONS

An unclear association between preoperative anxiety and POD in older surgical patients was found in our study. Given the ambiguity in conceptualization and measurement instruments used for preoperative anxiety, more research is warranted in which a greater emphasis should be placed on how preoperative anxiety is operationalized and measured.

Correlation and influencing factors of preoperative anxiety, postoperative pain, and delirium in elderly patients undergoing gastrointestinal cancer surgery

BACKGROUND

The correlation and influencing factors of preoperative anxiety, postoperative pain, and delirium in elderly patients undergoing gastrointestinal cancer surgery were explored with the Beck Anxiety Inventory (BAI) scale, 10-point Visual Analogue Scale (VAS), and Confusion Assessment Method Chinese Reversion (CAM-CR) scale.

METHODS

A total of 120 patients aged 65 years old who receiving gastrointestinal cancer surgery were enrolled in the study. Perioperative anxiety, pain, and delirium were assessed by the BAI scale, VAS scale, and CAM-CR scale, respectively. The correlation and influencing factors of preoperative high anxiety, postoperative high pain, and postoperative delirium were analyzed.

RESULTS

Preoperative high anxiety had a moderate positive correlation with postoperative high pain (P < 0.001, r = 0.410), and had a weak positive correlation with postoperative delirium (P = 0.005, r = 0.281). postoperative high pain had a weak positive correlation with postoperative delirium (P = 0.017, r = 0.236). Type of cancer and surgical approach were considered to be independent risk factors of preoperative high anxiety (P = 0.006 and P = 0.021). Preoperative high anxiety was considered to be an independent risk factor of postoperative high pain (P< 0.001). Age and preoperative high anxiety were considered to be independent risk factors of postoperative delirium (P< 0.001 and P = 0.010).

CONCLUSIONS

Elderly patients undergoing gastrointestinal cancer surgery had a higher incidence of preoperative anxiety, as well as first-day postoperative pain and first-day postoperative delirium. Factors such as type of cancer, surgical approach and preoperative anxiety had been identified as influencing preoperative anxiety levels; preoperative anxiety had been linked to postoperative pain; and age and preoperative anxiety have been identified as influencing factors of postoperative delirium.

TRIAL REGISTRATION

hiCTR2000032008, 17/04/2020, Title: "Effects of different analgesic methods on postoperative recovery of elderly patients with digestive tract tumor". Website: https://www.chictr.ogr.cn .

Type 2 diabetes and glycemic traits are not causal factors of delirium: A two-sample mendelian randomization analysis

This study aims to explore the genetic causal association between type 2 diabetes (T2D) and glycemic traits (fasting glucose [FG], fasting insulin [FI], and glycated hemoglobin [HbA1c]) on delirium using Mendelian randomization (MR). Genome-wide association studies (GWAS) summary data for T2D and glycemic traits were obtained from the IEU OpenGWAS database. GWAS summary data for delirium were obtained from the FinnGen Consortium. All the participants were of European ancestry. In addition, we used T2D, FG, FI, and HbA1c as exposures and delirium as outcomes. A random-effects variance-weighted model (IVW), MR Egger, weighted median, simple mode, and weighted mode were used to perform MR analysis. In addition, MR-IVW and MR-Egger analyses were used to detect heterogeneity in the MR results. Horizontal pleiotropy was detected using MR-Egger regression and MR pleiotropy residual sum and outliers (MR-PRESSO). MR-PRESSO was also used to assess outlier single nucleotide polymorphisms (SNPs). The "leave one out" analysis was used to investigate whether the MR analysis results were influenced by a single SNP and evaluate the robustness of the results. In this study, we conducted a two-sample MR analysis, and there was no evidence of a genetic causal association between T2D and glycemic traits (T2D, FG, FI, and HbA1c) on delirium (all p > 0.05). The MR-IVW and MR-Egger tests showed no heterogeneity in our MR results (all p values >0.05). In addition, The MR-Egger and MR-PRESSO tests showed no horizontal pleiotropy in our MR results (all p > 0.05). The MR-PRESSO results also showed that there were no outliers during the MR analysis. In addition, the "leave one out" test did not find that the SNPs included in the analysis could affect the stability of the MR results. Therefore, our study did not support the causal effects of T2D and glycemic traits (FG, FI, and HbA1c) on delirium risk.

Baseline Anxiety and Depression and Risk for ICU Delirium: A Prospective Cohort Study

OBJECTIVES:

Anxiety and depression are common mental disorders in adults admitted to the ICU. Although depression increases postsurgical delirium and anxiety does not, their associations with ICU delirium in critically ill adults remain unclear. We evaluated the association between ICU baseline anxiety and depression and ICU delirium occurrence.

DESIGN:

Subgroup analysis of a prospective cohort study.

SETTING:

Single, 36-bed mixed ICU.

PATIENTS:

Nine-hundred ninety-one ICU patients admitted with or without delirium between July 2016 and February 2020; patients admitted after elective surgery or not assessed for anxiety/depression were excluded.

INTERVENTION:

None.

MEASUREMENTS AND MAIN RESULTs:

The Hospital Anxiety and Depression Scale questionnaire was administered at ICU admission to determine baseline anxiety and depression. All patients were assessed with the Confusion Assessment Method for the ICU (CAM-ICU) q8h; greater than or equal to 1 +CAM-ICU assessment and/or scheduled antipsychotic use represented a delirium day. Multivariable logistic and Quasi-Poisson regression models, adjusted for ICU days and nine delirium risk variables (“Pre-ICU”: age, Charlson Comorbidity Index, cognitive impairment; “ICU baseline”: Acute Physiology and Chronic Health Evaluation-IV, admission type; “Daily ICU”: opioid and/or benzodiazepine use, Sequential Organ Failure Assessment score, coma), were used to evaluate associations between baseline anxiety and/or depression and ICU delirium. Among the 991 patients, 145 (14.6%) had both anxiety and depression, 78 (7.9%) had anxiety only, 91 (9.2%) had depression only, and 677 (68.3%) had neither. Delirium occurred in 406 of 991 total cohort (41.0%) patients; in the baseline anxiety and depression group, it occurred in 78 of 145 (53.8%), in the anxiety only group, 37 of 78 (47.4%), in the depression only group, 39 of 91 (42.9%), and in the group with neither in 252 of 677 (37.2%). Presence of both baseline anxiety and depression was associated with greater delirium occurrence (adjusted odds ratio, 1.99; 95% CI, 1.10–3.53; p = 0.02) and duration (adjusted risk ratio, 1.62; 95% CI, 1.17–2.23; p < 0.01).

CONCLUSIONS:

Baseline anxiety and depression are associated with increased ICU delirium occurrence and should be considered when delirium risk reduction strategies are being formulated.

Preoperative Anxiety in Chinese Adult Patients Undergoing Elective Surgeries: A Multicenter Cross-Sectional Study

BACKGROUND

Preoperative anxiety is associated with increased use of anesthetics and poorer postoperative outcomes. However, the prevalence of preoperative anxiety has not been characterized in Chinese patients. In this study, we aimed to estimate the overall prevalence of preoperative anxiety in Chinese adult patients and to explore the sociodemographic and clinical factors associated with preoperative anxiety in China.

METHODS

This study was a multicenter cross-sectional study conducted at 32 tertiary referral centers in China from September 1 to October 31, 2020. Adult patients scheduled for elective surgery were evaluated by the 7-item Perioperative Anxiety Scale (PAS-7) for preoperative anxiety after entrance to the operating zone.

RESULTS

A total of 5191 patients were recruited, and 5018 of them were analyzed. The prevalence of preoperative anxiety measured by PAS-7 was 15.8% (95% CI 14.8 to 16.9%). Multivariable analyses showed female sex, younger age, non-retired, first in a lifetime surgery, surgery of higher risk, and poorer preoperative sleep were associated with higher prevalence of preoperative anxiety.

CONCLUSIONS

Preoperative anxiety was relatively common (prevalence of 15.8%) among adult Chinese patients undergoing elective surgeries. Further studies are needed using suitable assessment tools to better characterize preoperative anxiety, and additional focus should be placed on perioperative education and intervention, especially in primary hospitals.

TRIAL REGISTRATION

This study was registered prospectively at www.chictr.org.cn (ChiCTR1900027639) on November 22, 2019.

Effects of Preoperative Anxiety on Postoperative Delirium in Elderly Patients Undergoing Elective Orthopedic Surgery: A Prospective Observational Cohort Study

Background

Postoperative delirium (POD) is common and has negative effects on elderly patients. There is a critical need to identify patients at high risk of POD so that providers can better offer targeted interventions in the preoperative and intraoperative periods. We aimed to characterize the prevalence of preoperative anxiety and investigate whether preoperative anxiety predicted the onset of POD in elderly patients undergoing elective orthopedic surgery.

Methods

We conducted a prospective observational cohort study of elderly patients (aged 65 years or older) undergoing elective orthopedic surgery. Preoperative anxiety was assessed using the Hospital Anxiety and Depression Scale-Anxiety (HADS-A), with clinically significant values defined as HADS-A>7. POD was diagnosed according to the Confusion Assessment Method (CAM) criteria on the 5 postoperative days. To determine the independent risk factors for POD, multivariable logistic regression was conducted, including those variables with a p-value <0.05 at univariate analysis.

Results

There were 263 patients included in the study. Seventy-three (27.8%) patients were diagnosed to be POD. Median duration of delirium was 2 days. Forty (15.2%) patients were assessed to experience preoperative anxiety. The occurrence of preoperative anxiety in total hip arthroplasty (THA), proximal femoral nail antirotation (PFNA), and total knee arthroplasty (TKA) was 12.5%, 16.1%, and 19.5%, respectively. Based on multivariable analysis, only age (odds ratio [OR]= 1.099, 95% Confidence Interval [CI]: 1.013–1.192; P=0.023), Mini Mental State Examination (MMSE) (OR= 0.603, 95% CI: 0.432–0.842; P=0.003) and preoperative anxiety (OR= 3.119, 95% CI: 1.144–8.500; P=0.026) were independently associated with POD.

Conclusion

In conclusion, the current study reveals that preoperative anxiety helps to predict the risk of POD in elderly patients undergoing elective orthopedic surgery. Relieving preoperative anxiety could be a new target for preventive interventions to reduce POD.