Prospective Analysis Between Neutrophil-to-Lymphocyte Ratio on Admission and Development of Delirium Among Older Hospitalized Patients With COVID-19

A pandemic of delirium: an updated systematic review and meta-analysis of occurrence of delirium in older adults with COVID-19

PURPOSE

Delirium has been recognized as an atypical presenting feature of COVID-19 in older adults and is independently associated with mortality. We aimed to perform an updated systematic review of the literature and proportional meta-analysis to assess prevalence and incidence of delirium in older adults with COVID-19, addressing differences according to sex, frailty status, and settings.

METHODS

We searched databases for English-language articles on prevalence and incidence of delirium in older adults with COVID-19, published between March 2020 and January 2023.

RESULTS

Of the 1171 articles identified, 66 met selection criteria and were included in the meta-analysis (n = 35,035 participants, age-range 66-90 years old, 46.6% females). We observed similar pooled prevalence (20.6% [95% Confidence Interval (CI) 17.8-23.8%]) and incidence (21.3% [95% CI 14.7-30%]) of delirium. Pooled occurrence (both prevalence and incidence) of delirium was similar according to sex (females 21.3% [95% CI 16-27.5%] vs. males 23.8%% [95% CI 18.2-30.4%], p-value = 0.55) and study setting (nursing homes 22.5% [95% CI 14.2-33.6%] vs. hospital 20.3% [95% CI 17-24%], p = 0.68), but it was significantly higher in frail versus non-frail patients (37% [95% CI 26.6-48.8%] vs. 12.5% [95% CI 7.8-19.6%], p-value < 0.01). Delirium definitions and assessment tools largely varied across studies.

CONCLUSION

This review delineates delirium as a common feature of COVID-19, particularly in frail older adults, and supports its formal inclusion among COVID-19 symptoms. The considerable heterogeneity in delirium assessment highlights the need for an operational strategy to standardize definitions and tools utilization in the management of frail older adults.

Risk factors for delirium among hospitalized adults with COVID-19: A systematic review and meta-analysis of cohort studies

OBJECTIVES

This study aims to systematically assess the risk factors, the overall strength of association, and evidence quality related to delirium among adults hospitalized with COVID-19.

METHODS

A comprehensive search was conducted in thirteen databases from inception to February 10, 2023. The included databases were thoroughly searched, including PubMed, Web of Science, Proquest, Ovid MEDLINE, CINAHL, Scopus, the Cochrane Library, FMRS, Wanfang Database, Chinese Biomedical Database (CBM), China Knowledge Resource Integrated Database (CNKI), Weipu Database (VIP), and Embase. The search was limited to articles published in English and Chinese. The selected studies were screened, data were extracted, and the quality was evaluated using the Newcastle-Ottawa Scale. Meta-analysis was performed using RevMan 5.4 software. The certainty of the evidence was assessed using the GRADE criteria.

RESULTS

A total of 22 cohort studies with a sample size of 11,957 individuals were included in the analysis. Among these studies, 20 were of high quality, while the remaining 2 were of moderate quality. The risk factors that showed the strongest association with delirium were prior cognitive impairment (including dementia), mechanical ventilation, and ICU admission. Age, frailty (Clinical Frailty Scale score > 5), antipsychotic use, benzodiazepine use, neutrophil-to-lymphocyte ratio, and vasopressor use were identified as moderate risk factors for delirium. According to the GRADE evaluation, ICU admission, benzodiazepine use, neutrophil-to-lymphocyte ratio, and vasopressor use had a high-quality body of evidence, while antipsychotic usage had an intermediate-quality body of evidence. All other risk factors had a low-quality body of evidence.

CONCLUSIONS

This systematic review and meta-analysis identified several medium- to high-intensity risk factors for delirium in hospitalized adults with COVID-19. ICU admission, benzodiazepine usage, neutrophil-to-lymphocyte ratio, antipsychotic use, and vasopressor use were associated with delirium and were supported by medium- to high-quality evidence. These findings provide healthcare professionals with an evidence-based basis for managing and treating delirium in hospitalized adults with COVID-19.

Systemic immune-inflammation index within the first postoperative hour as a predictor of severe postoperative complications in upper abdominal surgery: a retrospective single-center study

Background

Systemic pro-inflammatory factors play a critical role in mediating severe postoperative complications (SPCs) in upper abdominal surgery (UAS). The systemic immune-inflammation index (SII) has been identified as a new inflammatory marker in many occasions. The present study aims to determine the association between SII and the occurrence of SPCs after UAS.

Methods

Included in this study were 310 patients with upper abdominal tumors who received UAS and subsequently were transferred to the anesthesia intensive care unit between November 2020 and November 2021 in Nanjing Drum Hospital. SPCs, including postoperative pulmonary complications (PPCs), major adverse cardiac and cardiovascular events, postoperative infections and delirium, were recorded during the hospital stay. The clinical features of the patients with and without SPCs were compared by Student’s t-test or Fisher’s exact test as appropriate. Risk factors associated with SPC occurrence were evaluated by univariable and multivariable logistic regression analyses. Receiver operating characteristic (ROC) curve analysis was used to establish a cut-off level of SII value to predict SPCs.

Results

Of the 310 patients receiving UAS, 103 patients (33.2%) presented at least one SPC, including PPCs (n = 62), adverse cardiovascular events (n = 22), postoperative infections (n = 51), and delirium (n = 5). Both preoperative SII and 1-h postoperative SII in patients with SPCs were significantly higher than those in patients without SPCs. Multivariate analysis showed that 1-h postoperative SII was an independent predictor for SPC occurrence (OR = 1.000, 95% CI 1.000–1.000, P = 0.007), together with postoperative C-reactive protein, postoperative arterial lactate, postoperative oxygenation-index and older age. The ROC curve showed that the optimal cutoff value of 1-h postoperative SII to predict SPCs was 754.6078 × 10⁹/L, with an 88.3% sensitivity and a 29% specificity. Multivariate analysis also confirmed that 1-h postoperative SII > 754.6078 × 10⁹/L was associated with increased SPC occurrence (OR = 2.656, 95% CI 1.311–5.381, P = 0.007).

Conclusion

Our findings demonstrated an association between the higher level of 1-h postoperative SII and SPCs, suggesting that 1-h postoperative SII, especially categorized 1-h postoperative SII using cutoff value, may be a useful tool for identifying patients at risk of developing SPCs.

Delirium and Anxiety Outcomes Related to Visiting Policy Changes in the Intensive Care Unit During the COVID-19 Pandemic

Objective

To evaluate the effect of intensive care unit (ICU) visit on the incidence of delirium, delirium subtype, and anxiety level in ICU patients.

Methods

Trained psychiatrists and nurses evaluated ICU patients for delirium, delirium subtypes, and anxiety. Propensity score matching (PSM) was used to retrospectively analyze the data. Then, we compared the differences in the incidence of delirium, delirium subtypes, and anxiety level before and after the ICU visit ban. Logistic regression was conducted to identify the risk factors for delirium subtypes and high anxiety levels.

Results

After PSM, there was no statistically significant difference in the incidence of delirium between the non-visiting and restrictive visiting groups (non-visiting 27.4% versus restrictive visiting 30.9%, p = 0.162). The proportion of hyperactive and mixed subtypes was higher in the non-visiting than in the restrictive visiting group (non-visiting 35.3 and 30.1% versus restrictive visiting 27.7 and 20.1%, p = 0.002). The anxiety level was higher in the non-visiting than in the restrictive visiting group (state-trait anxiety inventory score: non-visiting 53.46 ± 4.58 versus restrictive visiting 52.22 ± 6.50, p = 0.009). Patients who stayed in the ICU during the visit ban were more likely to have hyperactive (p = 0.005) and mixed subtype (p = 0.001) than those who did not. Moreover, patients who stayed in the ICU during the visit ban were more likely to experience high anxiety levels than those who did not (p < 0.001).

Conclusion

Prohibition of ICU visits during COVID-19 pandemic did not affect the incidence of delirium during COVID-19 but could change the delirium subtype and raise anxiety level. Moreover, visiting prohibition was a risk factor for non-hypoactive delirium subtype and high anxiety levels. Therefore, ICU visits are important in dealing with delirium subtypes and anxiety in ICU patients.