Next Article in Journal
Is the Non-Coding RNA miR-195 a Biodynamic Marker in the Pathogenesis of Head and Neck Squamous Cell Carcinoma? A Prognostic Meta-Analysis
Next Article in Special Issue
Biomarkers as Prognostic Predictors and Therapeutic Guide in Critically Ill Patients: Clinical Evidence
Previous Article in Journal
Reproducibility of Mesopic and Photopic Pupil Sizes in Myopic Children Using a Dedicated Pupillometer with Human-Assisted or Automated Reading
Previous Article in Special Issue
Evaluation of Nociception during Pediatric Surgery: A Topical Review
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
JPM
Volume 13
Issue 2
10.3390/jpm13020274
jpm-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Association between COVID-19 and Postoperative Neurological Complications and Antipsychotic Medication Use after Cancer Surgery: A Retrospective Study

by
Juan P. Cata
1,2,*,
Jian Hu
3,
Lei Feng
4,
Caroline Chung
5,6,
Scott E. Woodman
6,7 and
Larissa A. Meyer
8
1
Department of Anesthesiology and Perioperative Medicine, The University of Texas—MD Anderson Cancer Centre, Houston, TX 77030, USA
2
Anesthesiology and Surgical Oncology Research Group, Houston, TX 77030, USA
3
Department of Cancer Biology, The University of Texas—MD Anderson Cancer Centre, Houston, TX 77030, USA
4
Department of Biostatistics, The University of Texas—MD Anderson Cancer Centre, Houston, TX 77030, USA
5
Department of Radiation Oncology, The University of Texas—MD Anderson Cancer Centre, Houston, TX 77030, USA
6
Data-Driven Determinants for COVID-19 Oncology Discovery Effort (D3CODE) Team, University of Texas—MD Anderson Cancer Centre, Houston, TX 77030, USA
7
Department of Genomic Medicine, The University of Texas—MD Anderson Cancer Centre, Houston, TX 77030, USA
8
Department of Gynecology Oncology and Reproductive Medicine, The University of Texas—MD Anderson Cancer Centre, Houston, TX 77030, USA
*
Author to whom correspondence should be addressed.
J. Pers. Med. 2023, 13(2), 274; https://doi.org/10.3390/jpm13020274
Submission received: 2 December 2022 / Revised: 26 January 2023 / Accepted: 29 January 2023 / Published: 31 January 2023
(This article belongs to the Special Issue New Paradigms in Anesthesia and Intensive Care)
Review Reports Versions Notes

Abstract

:
Introduction: Millions of Americans infected with the severe acute respiratory syndrome-associated coronavirus-19 (COVID-19) need oncologic surgery. Patients with acute or resolved COVID-19 illness complain of neuropsychiatric symptoms. How surgery affects postoperative neuropsychiatric outcomes such as delirium is unknown. We hypothesize that patients with a history of COVID-19 could have an exaggerated risk of developing postoperative delirium after undergoing major elective oncologic surgery. Methods: We conducted a retrospective study to determine the association between COVID-19 status and antipsychotic drugs during postsurgical hospitalization as a surrogate of delirium. Secondary outcomes included 30 days of postoperative complications, length of stay, and mortality. Patients were grouped into pre-pandemic non-COVID-19 and COVID-19-positive groups. A 1:2 propensity score matching was used to minimize bias. A multivariable logistic regression model estimated the effects of important covariates on the use of postoperative psychotic medication. Results: A total of 6003 patients were included in the study. Pre- and post-propensity score matching demonstrated that a history of preoperative COVID-19 did not increase the risk of antipsychotic medications postoperatively. However, respiratory and overall 30-day complications were higher in COVID-19 individuals than in pre-pandemic non-COVID-19 patients. The multivariate analysis showed that the odds of using postoperative antipsychotic medication use for the patients who had COVID-19 compared to those who did not have the infection were not significantly different. Conclusion: A preoperative diagnosis of COVID-19 did not increase the risk of postoperative antipsychotic medication use or neurological complications. More studies are needed to reproduce our results due to the increased concern of neurological events post-COVID-19 infection.

1. Introduction

As of 18 January 2023, the Centre for Disease Control has reported more than 101 million cases and over one million deaths of coronavirus disease 19 (COVID-19) in the United States (https://covid.cdc.gov/covid-data-tracker/#datatracker-home, accessed on 4 September 2022). Coronaviruses are common causes of respiratory tract illnesses, and COVID-19 is no exception [1]. Notably, the virus has the capability to damage many organ systems, including the central nervous system. A growing level of evidence indicates that patients infected with COVID-19 report neurological symptoms that can extend for several months (long COVID) after the acute phase of the infection [2]. Furthermore, patients with mild COVID-19 illness may develop acute or chronic neuropsychiatric symptoms, including confusion, delirium, and memory problems [2,3,4]. In fact, neuropsychiatric manifestations of COVID-19 have been reported in up to 85% of the patients in the acute or subacute phase of the disease [2]. A meta-analysis revealed a similar rate (80%) of long-lasting neuro-psychiatric symptoms, including fatigue (58%), headache (44%), and attention disorders (27%) [5]. Although not clearly determined, studies suggest that neuropsychiatric symptoms associated with COVID-19 are related to neuroinflammation, endothelial dysfunction, and neuronal injury [6]. Therefore, it has been recommended that COVID-19 could worsen the prognosis of patients in which neuroinflammation and immune dysregulation are present (i.e., major oncologic surgery) [6].
Clinical neurological and psychiatric syndromes are common in patients undergoing major cancer surgery. Delirium is a frequent (8–46%) complication and represents the extreme spectrum of the so-called postoperative cognitive disorders [7,8]. Patients with postoperative delirium have an increased risk of developing other postoperative complications, hospital readmission, and a higher healthcare-associated cost and mortality rate than those without delirium [9,10,11]. Precipitating factors of postoperative delirium include age, duration of surgery, the extent of surgery, and perioperative medication administration, such as high doses of opioids and benzodiazepines [12,13,14]. However, patients with a diminished brain reserve, such as those with dementia, also have an increased risk for postoperative delirium [7,14,15]. Studies have shown Alzheimer’s disease-like features in patients with a history of long COVID, suggesting permanent brain damage [16].
Patients with a history of COVID-19 infection may have a higher risk of complications and mortality postoperatively [17]. However, recent studies have suggested the opposite [18,19,20]. Additionally, pooled data from 24 studies that included 6762 patients did not show a significant increase in complications in oncological patients requiring surgery during the pandemic [21]. However, no studies have investigated the association between a history of COVID-19 and postoperative delirium or neurological complications. We hypothesized that patients with a history of COVID-19 disease or infection would have an exaggerated risk of developing postoperative delirium or cognitive dysfunction than pre-pandemic non-COVID-19 patients [22]. To test this hypothesis, we conducted a retrospective study to predict whether a preoperative history of COVID-19 disease or infection increased the risk of postoperative antipsychotic medication use and neurological complications.

2. Methods and Materials

This study was approved by the Institutional Review Board (IRB) “The University of Texas—MD Anderson Cancer Center” (1 January 2021). The IRB granted a waiver of informed consent to the investigators. This study was conducted according to MD Anderson Cancer Center institutional guidelines and following the Declaration of Helsinki ethical principles for medical research involving human subjects. Patients who had cancer surgery between 1 January 2019 and 31 August 2021 were included in this study if they were >18 years of age and stayed in the hospital for at least 48 h after surgery. We excluded ambulatory and emergency surgeries, and patients with repeated surgeries. A positive history of COVID-19 was defined as a positive polymerase chain reaction (PCR) test any time before oncologic surgery or documented post-COVID-19 status as a disease in the electronic medical records [23]. Following the methodology used by Deng et al., we considered no COVID-19 patients as those who had surgery before 31 December 2019, as these presented no history of COVID-19 [24]. It is worth mentioning that from the pandemic’s beginning until today, patients will only undergo scheduled surgery if two weeks have passed after PCR positivity, there is confirmation of a negative PCR or in the absence of symptoms. Therefore, none of the patients in the analysis had “acute” symptoms of COVID-19.
Clinical data, including demographics, American Society Anesthesiologists’ (ASA) Physical Status, history of cancer treatments, primary surgical service, postoperative complications, and mortality, obtained from the electronic medical record system were used to analyze integration into a cloud-based tool within the Context Engine at the University of Texas—MD Anderson’s Cancer Centre data [25,26]. The primary outcome was the rate of postoperative administration of antipsychotic drugs (haloperidol, risperidone, quetiapine, olanzapine, ziprasidone, paliperidone, aripiprazole, and clozapine) during postoperative hospitalization since these medications are typically given to patients with positive features (i.e., agitation) of delirium [27]. Secondary outcomes included length of stay, 30-day neurological (cerebrovascular accident or stroke), cardiovascular (congestive heart failure, deep vein thrombosis, hypertension, myocardial infarction), and respiratory (pneumonia, pulmonary hypertension, and pulmonary embolism) postoperative complications, and overall 30-day morbidity and 30-day mortality.

Statistical Analysis

Patient demographics, preoperative cancer treatment, primary surgical service, anesthesia duration, and postoperative clinical outcomes were summarized through descriptive statistics. The chi squared test or Fisher’s exact test was used to evaluate the association between the patient demographical/clinical characteristics and the use of postoperative antipsychotic medication or postoperative complications. The Wilcoxon rank-sum test was used to assess the difference in a continuous variable between the COVID-19 history and no COVID-19 history groups, between the use of postoperative antipsychotic medication and no use of postoperative antipsychotic medication groups, or between the postoperative complications and no complications groups. The baseline covariates with p-values < 0.3 from the above tests were included as covariates when fitting multivariable logistic regression models to assess their effects on the use of postoperative antipsychotic medications or complications. We then conducted a propensity score matching analysis to adjust for selection bias in this observational study. The standardized difference was calculated to evaluate the balance in baseline covariates after PSM between the two groups of patients. We used 0.4 as the significance level for a baseline covariate to stay in the multivariable logistic regression model when using the post-propensity score matching dataset to assess covariate effects on the use of postoperative antipsychotic medication or complications.
Approximately 28,700 patients were part of the D3CODE registry at the time of the study. Among them, about 600 patients had a history of COVID-19 before surgery, given the prevalence rate of COVID-19 of 2.1%. The primary endpoint was the status of postoperative delirium during hospitalization recorded in patient medical notes and/or indicated by the use of antipsychotic medication. We estimated a rate of postoperative delirium for patients without a COVID-19 history of 30%. Then, the study would have 81% power to detect a difference in the rate of postoperative delirium between the patients with and without COVID-19 history when 35.5% of the patients with COVID-19 history would suffer postoperative delirium, assuming a two-sided type I error rate of 0.05 (nQuery Advisor 7.0). A p < 0.05 was considered statistically significant. Statistical software SAS 9.4 (SAS, Cary, NC, USA) was used for all the analyses.

3. Results

A total of 6003 patients who met the inclusion criteria were included in the study. Of them, 373 subjects tested positive or had a history of COVID-19 disease from 1 January 2020 until 31 August 2021. Most patients were ASA physical status 3, received chemotherapy, and did not have radiation. Most subjects were grouped in the surgical oncology service (i.e., abdominal surgeries), while fewer had gynecological oncology surgeries (Table 1).
Overall, 167 patients (2.8%) used postoperative antipsychotic medications, 143 patients (2.4%) experienced neurological complications, 739 patients (12.3%) experienced cardiovascular complications, 1060 patients (17.7%) experienced respiratory complications, and 1628 patients (27.1%) experienced at least one of the above postoperative complications (Table 2).
Before propensity score matching, patients with a history of COVID-19 were slightly but statistically significantly younger than pre-pandemic non-COVID-19 subjects (Table 1). Other demographic and treatment-related variables were not significantly different (Table 1). The univariate analysis demonstrated that postoperative psychotic medications (n = 160, 2.8% vs. n = 7, 1.9%) and neurological (n = 136, 2.4% vs. n = 7, 1.9%) complications were not statistically different between both groups of interest. However, there was a significantly higher rate of postoperative pulmonary complications in patients with a history of COVID-19 (n = 81, 21.7%) than in pre-pandemic non-COVID-19 subjects (n = 979, 17.4%, p = 0.033). Length of stay and 30 days mortality rate were nearly identical in both groups of patients (Table 2).
With the adjustment of age, gender, race, ASA physical status, history of radiation, and duration of anesthesia in a multivariable logistic regression model, the estimated odds of using postoperative antipsychotic medication in patients who had a history of COVID-19 compared to the patients who pre-pandemic non-COVID-19 individuals was not statistically significantly different (OR = 0.65, 95% CI = 0.30, 1.40; p = 0.27) (Table 3). With the adjustment of age, gender, race, ASA physical status, history of radiation, and duration of anesthesia, the odds of having postoperative respiratory complications for the patients who had a history of COVID-19 were 34% higher compared to the patients who did not have a history of COVID-19 (OR = 1.34, 95% CI = 1.04, 1.73; p = 0.026) (Table 4).

Matched Patient Population

To reduce the bias due to confounding variables, we conducted propensity score matching. For this, 1119 patients were included in the analysis. A total of 373 patients with a preoperative diagnosis of COVID-19 were 1:2 matched to 746 pre-pandemic non-COVID-19 patients by age at surgery, gender, and primary service. The matched population’s mean age (standard deviation) was 55.21 (13.94) years. Moreover, there were slightly more women (n = 592, 52.9%) than males (n = 527, 47.1%). The standardized differences for all covariates were <6% in the post-matching dataset, suggesting a substantial bias reduction between the two groups. As shown in Table 1, demographic, preoperative cancer treatments, primary surgical service, and anesthesia duration were not statistically significantly different between the patients with and without a history of COVID-19.
The use of antipsychotic medications as a surrogate for postoperative delirium was not statistically significantly different between COVID-19 (n = 7, 1.9%) and pre-pandemic non-COVID-19 (n = 20, 2.7%) patients (Table 2). In addition, postoperative neurological events, in which delirium was included, and cardiovascular complications were not statistically significantly different between both groups of patients. However, respiratory complications were statistically significantly higher in COVID-19 (n = 81, 21.7%) than in pre-pandemic non-COVID-19 (n = 121, 16.2%, p = 0.024) patients. Similarly, the presence of any complication 30 days after surgery was statistically significantly higher in patients with a history of COVID-19 (n = 112, 30%) than in pre-pandemic patients (n = 180, 24.1%, p = 0.034). Lastly, the length of stay in the hospital and 30-day mortality were not statistically significantly different between the two groups of patients.
Multivariable logistic regression models were fitted to estimate the effects of important covariates on the use of postoperative antipsychotic medication or postoperative respiratory complications. With the adjustment of gender and race, the effect of having a history of COVID-19 on the use of postoperative antipsychotic medication was a statistically independent predictor (OR = 0.68, 95% CI = 0.29, 1.63; p = 0.39) (Table 3). With the adjustment of age and gender, the odds of having postoperative respiratory complications for the patients who had a history of COVID-19 were 42% higher compared to the patients who did not have a history of COVID-19 (OR = 1.42, 95% CI = 1.04, 1.73; p = 0.028) (Table 4).

4. Discussion

With an increase in the population of COVID-19-infected patients requiring major surgery to treat solid malignancies, postoperative complications are likely to increase mainly in unvaccinated individuals [28,29]. Previous studies have investigated the impact of acute or resolved COVID-19 infection on complications after cancer surgery, with pulmonary complications being the most commonly reported [30,31]. However, there is little evidence of the effects of preoperative COVID-19 illness on other postsurgical events, such as postoperative delirium or neuropsychiatric complications. Patients with COVID-19 can present neuropsychiatric symptoms (i.e., fatigue, headaches, or cognitive difficulties) even weeks after the acute phase of the infection [32] when surgery may be needed. In older hospitalized patients, delirium is the most common neurologic manifestation of COVID-19 and is associated with high mortality [33]. Our study focused on the use of antipsychotic drugs as a surrogate of postoperative delirium or neurological complications in patients with resolved infection. Our work did not show any significant association suggesting an increase in the rate of antipsychotic drug use or neurological complications in patients with a history of COVID-19 infections compared to similar patients without a history of COVID-19. However, our period of observation was limited to 30 days after surgery. Hence, we missed delirium or other cognitive disorders occurring after a month of surgery.
There are at least two explanations for our findings. First, the rates of antipsychotic drug use and neurological complications were low in pre-pandemic patients and those with a history of COVID-19 infection. Thus, we might have been statistically underpowered to demonstrate a clinically relevant or statistically significant difference in both outcomes, or an actual clinical difference does not exist. Second, we analyzed data from patients with a history of COVID-19 infection who were PCR-negative at the time of surgery and had most likely recovered from any COVID-19-like symptoms. In other terms, surgeries included in our analysis took place on highly selected patients, typically 4–8 weeks after the infection, who might have fully recovered from the infection, and with minimal or no COVID-19 sequela in the neurological system [34]. Thus, patients with any neuropsychiatric disorder or still symptomatic from the infection might not have undergone surgery during the period of our study or might have received different cancer treatments.
Our study suggests that surgery performed near the time of COVID-19 infection is associated with an increased risk of developing postoperative respiratory complications [24]. We observed a rate of 21.7% of respiratory complications in patients with a history of COVID-19. Using an administrative database, two studies reported a lower rate (1.4–4.8%) of respiratory complications than in our study [24,35]. However, differences in both studies can explain the dissimilar findings. For instance, in Deng et al.’s work, the investigators included patients with and without cancer, making it difficult to compare our results [24]. A meta-analysis indicated that postoperative pulmonary complications are the leading cause of death in patients with COVID-19 [36]. Doglietto et al. also reported a higher 30-day postoperative mortality rate for COVID-19 patients than non-COVID-19 individuals [36]. In fact, it has been estimated a 54.8% of excess postoperative deaths during the pandemic were attributable to COVID-19 [37]. While we observed a higher rate of postoperative pulmonary and overall complications in patients recovering from COVID-19 than those undergoing similar surgeries before the pandemic, the mortality rate did not show statistically significant differences. We can speculate that in our cohort of patients, postoperative pulmonary complications might have occurred in individuals who fully recovered from respiratory symptoms associated with COVID-19 and were asymptomatic at the time of surgery. Thus, the severity of the complication was milder than in patients with active or symptomatic infections, as demonstrated in a previous study [38]. This could also explain why the length of hospitalization was not statistically different between the two groups of patients.
In our work, cardiovascular complications occurred in 12.1% of COVID-19 patients. While the rate was slightly higher than in non-COVID-19 subjects (10.3%), it did not reach statistical significance. Bryant et al. reported the same rate of events in a recently published study that included 3997 patients [19]. Notably, the authors reported that risk decreased from the time of COVID-19 diagnosis to surgery [19]. We also investigated 30-day mortality rates in patients with and without a history of the infection. As reported by Quinn et al. in a large cohort of Italian patients, a prior history of COVID-19 infection did not increase the risk of postoperative mortality [20].
Our study has several limitations. First, this retrospective study used data from a cloud-based tool with inherent biases [25,26]. In addition, we included a cohort of patients who were mainly recovering or fully recovered from COVID-19 and undergoing elective oncologic resections at a high-volume comprehensive cancer center which may not be representative or generalizable across all settings. Although a recent study reported that the rate of postoperative complications is not increased in patients undergoing mastectomy in the ambulatory setting, our results cannot be generalized to oncological patients undergoing same-day surgery [39]. Second, we excluded patients undergoing emergency surgery or those with an active infection whose risk of postoperative delirium could have been higher than those recovering from the disease [40]. Unfortunately, our medical records at the time of the early stages of the pandemic did not differentiate between PCR (+) and a history of the disease. Therefore, we could not discriminate how many patients had the disease, and how many had only had a positive test. Third, our findings are also limited to the lack of preoperative clinical or imaging studies to determine the presence of cognitive dysfunction before surgery and a complete description of the postoperative neurological conditions after surgery, which can explain the lower-than-expected rates of neurological complications and use of antipsychotic medications [8]. Fourth, postoperative delirium was defined as administering new antipsychotic drugs during hospital admission. Due to the low rate of postoperative use of antipsychotic medications and neurological complications, it is possible that delirious patients were not adequately identified in our database or that it happened beyond 30 days after surgery. In addition, we might have missed patients with hypoactive delirium to whom antipsychotic medications were not prescribed and whose symptoms were not recorded in medical records. Lastly, our study included patients infected with early variants of the COVID-19 virus. Since September 2021, new virus variants have emerged; therefore, our results are not generalizable to patients with the Delta or Omicron variants. While we did not include a history of vaccination in our analysis, a large cohort study demonstrated no increase in major postoperative cardiovascular events or death in patients with or without COVID-19 vaccination [20].
In conclusion, oncologic patients with a preoperative diagnosis of COVID-19 did not show an association with neurological complications or antipsychotic medications as a surrogate of postoperative delirium. However, it was significantly associated with an increased risk of postoperative respiratory complications. More studies are needed to reproduce our results due to the increased concern of cognitive outcomes post-COVID-19 infection.

Author Contributions

Conceptualization, J.P.C., J.H., C.C., S.E.W. and L.A.M.; methodology, J.P.C., J.H., C.C., S.E.W. and L.A.M.; validation, J.P.C. and L.F.; formal analysis, L.F.; data curation, J.P.C., L.F.; writing—original draft preparation, J.P.C.; writing—review and editing, J.P.C., J.H., C.C., S.E.W. and L.A.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board of The University of Texas—MD Anderson Cancer Center (1 January 2021).

Informed Consent Statement

Patient consent was waived due to the retrospective analysis of the study.

Data Availability Statement

The material generated from this research belongs to the University of Texas—MD Anderson Cancer Center. The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Acknowledgments

The authors would like to thank the D3CODE team.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Fan, E.; Beitler, J.R.; Brochard, L.; Calfee, C.S.; Ferguson, N.D.; Slutsky, A.S.; Brodie, D. COVID-19-associated acute respiratory distress syndrome: Is a different approach to management warranted? Lancet Respir. Med. 2020, 8, 816–821. [Google Scholar] [PubMed]
  2. Nolen, L.T.; Mukerji, S.S.; Mejia, N.I. Post-acute neurological consequences of COVID-19: An unequal burden. Nat. Med. 2022, 28, 20–23. [Google Scholar] [PubMed]
  3. Stefanou, M.I.; Palaiodimou, L.; Bakola, E.; Smyrnis, N.; Papadopoulou, M.; Paraskevas, G.P.; Rizos, E.; Boutati, E.; Grigoriadis, N.; Krogias, C.; et al. Neurological manifestations of long-COVID syndrome: A narrative review. Ther. Adv. Chronic Dis. 2022, 13, 20406223221076890. [Google Scholar] [CrossRef] [PubMed]
  4. Kennedy, M.; Helfand, B.K.I.; Gou, R.Y.; Gartaganis, S.L.; Webb, M.; Moccia, J.M.; Bruursema, S.N.; Dokic, B.; McCulloch, B.; Ring, H.; et al. Delirium in Older Patients With COVID-19 Presenting to the Emergency Department. JAMA Netw. Open 2020, 3, e2029540. [Google Scholar] [CrossRef]
  5. Lopez-Leon, S.; Wegman-Ostrosky, T.; Perelman, C.; Sepulveda, R.; Rebolledo, P.A.; Cuapio, A.; Villapol, S. More than 50 long-term effects of COVID-19: A systematic review and meta-analysis. Sci. Rep. 2021, 11, 16144. [Google Scholar] [CrossRef]
  6. Spudich, S.; Nath, A. Nervous system consequences of COVID-19. Science 2022, 375, 267–269. [Google Scholar] [CrossRef]
  7. Austin, C.A.; O’Gorman, T.; Stern, E.; Emmett, D.; Stürmer, T.; Carson, S.; Busby-Whitehead, J. Association Between Postoperative Delirium and Long-term Cognitive Function After Major Nonemergent Surgery. JAMA Surg. 2019, 154, 328–334. [Google Scholar] [CrossRef]
  8. O’Hanlon, S.; Baxter, M.; Hosie, A. Postoperative delirium in older patients with cancer: The role of psychological distress and social support. Curr. Opin. Support. Palliat. Care 2022, 16, 38–47. [Google Scholar]
  9. Elsamadicy, A.A.; Wang, T.Y.; Back, A.G.; Lydon, E.; Reddy, G.B.; Karikari, I.O.; Gottfried, O.N. Post-operative delirium is an independent predictor of 30-day hospital readmission after spine surgery in the elderly (>/ = 65years old): A study of 453 consecutive elderly spine surgery patients. J. Clin. Neurosci. 2017, 41, 128–131. [Google Scholar] [CrossRef]
  10. Bellelli, G.; Mazzola, P.; Morandi, A.; Bruni, A.; Carnevali, L.; Corsi, M.; Zatti, G.; Zambon, A.; Corrao, G.; Olofsson, B.; et al. Duration of Postoperative Delirium Is an Independent Predictor of 6-Month Mortality in Older Adults After Hip Fracture. J. Am. Geriatr. Soc. 2014, 62, 1335–1340. [Google Scholar]
  11. Gou, R.Y.; Hshieh, T.T.; Marcantonio, E.R.; Cooper, Z.; Jones, R.N.; Travison, T.G.; Fong, T.G.; Abdeen, A.; Lange, J.; Earp, B.; et al. One-Year Medicare Costs Associated With Delirium in Older Patients Undergoing Major Elective Surgery. JAMA Surg. 2021, 156, 462. [Google Scholar]
  12. Duprey, M.S.; Devlin, J.W.; Griffith, J.L.; Travison, T.G.; Briesacher, B.A.; Jones, R.; Saczynski, J.S.; Schmitt, E.M.; Gou, Y.; Marcantonio, E.R.; et al. Association Between Perioperative Medication Use and Postoperative Delirium and Cognition in Older Adults Undergoing Elective Noncardiac Surgery. Obstet. Anesthesia Dig. 2022, 134, 1154–1163. [Google Scholar]
  13. Memtsoudis, S.; Cozowicz, C.; Zubizarreta, N.; Weinstein, S.; Liu, J.; Kim, D.; Poultsides, L.; Berger, M.M.; Mazumdar, M.; Poeran, J. Risk factors for postoperative delirium in patients undergoing lower extremity joint arthroplasty: A retrospective population-based cohort study. Reg. Anesth Pain Med. 2019, 44, 934–943. [Google Scholar] [CrossRef] [PubMed]
  14. White, L.; Jackson, T. Delirium and COVID-19: A narrative review of emerging evidence. Anaesthesia 2022, 77, 49–58. [Google Scholar] [CrossRef] [PubMed]
  15. Liu, X.; Yu, Y.; Zhu, S. Inflammatory markers in postoperative delirium (POD) and cognitive dysfunction (POCD): A meta-analysis of observational studies. PLoS ONE 2018, 13, e0195659. [Google Scholar] [CrossRef] [Green Version]
  16. Reiken, S.; Sittenfeld, L.; Dridi, H.; Liu, Y.; Liu, X.; Marks, A.R. Alzheimer’s-like signaling in brains of COVID-19 patients. Alzheimer’s Dement. 2022, 18, 955–965. [Google Scholar]
  17. Nepogodiev, D.; Bhangu, A.; Glasbey, J.C.; Li, E.; Omar, O.M.; Simoes, J.F.; Abbott, T.E.; Alser, O.; Arnaud, A.; Bankhead-Kendall, B.; et al. Mortality and pulmonary complications in patients undergoing surgery with perioperative SARS-CoV-2 infection: An international cohort study. Lancet 2020, 396, 27–38. [Google Scholar]
  18. Tang, G.; Pi, F.; Tao, J.; Wei, Z. Impact of the COVID-19 pandemic on surgical outcomes in patients undergoing colorectal cancer surgery: A retrospective study and meta-analysis of data from 11,082 participants. Front. Public Heal. 2022, 10, 3591. [Google Scholar] [CrossRef]
  19. Bryant, J.M.; Boncyk, C.S.; Rengel, K.F.; Doan, V.; Snarskis, C.; McEvoy, M.D.; McCarthy, K.Y.; Li, G.; Sandberg, W.S.; Freundlich, R.E. Association of Time to Surgery After COVID-19 Infection With Risk of Postoperative Cardiovascular Morbidity. JAMA Netw. Open 2022, 5, e2246922. [Google Scholar] [CrossRef]
  20. Quinn, K.L.; Huang, A.; Bell, C.M.; Detsky, A.S.; Lapointe-Shaw, L.; Rosella, L.C.; Urbach, D.R.; Razak, F.; Verma, A.A.; MPhil. Complications Following Elective Major Noncardiac Surgery Among Patients With Prior SARS-CoV-2 Infection. JAMA Netw. Open 2022, 5, e2247341. [Google Scholar] [CrossRef]
  21. De Bock, E.; Herman, E.S.; Bastian, O.W.; Filipe, M.D.; Vriens, M.R.; Richir, M.C. Systematic review and meta-analysis determining the effect of implemented COVID-19 guidelines on surgical oncology volumes and clinical outcomes. Surg. Oncol. 2022, 45, 101859. [Google Scholar] [CrossRef]
  22. Wei, P.; Lyu, W.; Wan, T.; Zheng, Q.; Tang, W.; Li, J.; Yang, J.-J. COVID-19: A novel risk factor for perioperative neurocognitive disorders. Br. J. Anaesth. 2021, 127, e113–e115. [Google Scholar] [CrossRef]
  23. Zhao, H.; Yan, S.; Zhang, F.; Wright, J.D.; Hou, J.Y.; Cata, J.P.; Cai, X.; Xiu, D.; Mao, Y.; Zhang, B.; et al. Guidance for safely performing oncologic surgery during the COVID-19 pandemic. Br. J. Surg. 2020, 107, e401–e402. [Google Scholar] [CrossRef] [PubMed]
  24. Deng, J.Z.; Chan, J.S.B.; Potter, A.L.; Chen, Y.-W.; Sandhu, H.S.M.; Panda, N.M.; Chang, D.C.; Yang, C.-F.J. The Risk of Postoperative Complications After Major Elective Surgery in Active or Resolved COVID-19 in the United States. Ann. Surg. 2021, 275, 242–246. [Google Scholar] [CrossRef]
  25. Syntropy. Available online: https://www.syntropy.com/news/ (accessed on 8 November 2022).
  26. Palantir Foundry. Available online: https://www.palantir.com/palantir-foundry/ (accessed on 22 October 2022).
  27. Baller, E.B.; Hogan, C.S.; Fusunyan, M.A.; Ivkovic, A.; Luccarelli, J.W.; Madva, E.; Nisavic, M.; Praschan, N.; Quijije, N.V.; Beach, S.R.; et al. Neurocovid: Pharmacological Recommendations for Delirium Associated With COVID-19. Psychosomatics 2020, 61, 585–596. [Google Scholar] [CrossRef] [PubMed]
  28. Bacalbasa, N.; Balescu, I. The Impact of COVID-19 Infection During the Postoperative Period After Surgery for Ovarian Cancer. In Vivo 2022, 36, 1337–1341. [Google Scholar] [CrossRef]
  29. Prasad, N.K.; Englum, B.R.; Mayorga-Carlin, M.; Turner, D.J.; Sahoo, S.; Sorkin, J.D.; Lal, B.K. Partial COVID-19 vaccination associated with reduction in postoperative mortality and SARS-CoV-2 infection. Am. J. Surg. 2022, 224, 1097–1102. [Google Scholar] [CrossRef] [PubMed]
  30. Chen, M.Z.; Tay, Y.K.; Teoh, W.M.; Kong, J.C.; Carne, P.; D’Souza, B.; Chandra, R.; Bui, A.; Gu, C.; Auckloo, A.; et al. Melbourne colorectal collaboration: A multicentre review of the impact of COVID-19 on colorectal cancer in Melbourne, Australia. ANZ J. Surg. 2022, 92, 1110–1116. [Google Scholar] [CrossRef]
  31. Algera, M.D.; van Driel, W.; Slangen, B.; Kruitwagen, R.; Wouters, M.; Baalbergen, A.; Cate, A.T.; Aalders, A.; van der Kolk, A.; Kruse, A.; et al. Impact of the COVID-19-pandemic on patients with gynecological malignancies undergoing surgery: A Dutch population-based study using data from the ‘Dutch Gynecological Oncology Audit’. Gynecol. Oncol. 2022, 165, 330–338. [Google Scholar] [CrossRef]
  32. Deana, C.; Verriello, L.; Pauletto, G.; Corradi, F.; Forfori, F.; Cammarota, G.; Bignami, E.; Vetrugno, L.; Bove, T. Insights into neurological dysfunction of critically ill COVID-19 patients. Trends Anaesth. Crit. Care 2021, 36, 30–38. [Google Scholar] [CrossRef]
  33. Pranata, R.; Huang, I.; Lim, M.A.; Yonas, E.; Vania, R.; Kuswardhani, R.A.T. Delirium and Mortality in Coronavirus Disease 2019 (COVID-19)—A Systematic Review and Meta-analysis. Arch. Gerontol. Geriatr. 2021, 95, 104388. [Google Scholar] [CrossRef]
  34. El-Boghdadly, K.; Cook, T.M.; Goodacre, T.; Kua, J.; Denmark, S.; McNally, S.; Summerton, D.J. Timing of elective surgery and risk assessment after SARS-CoV-2 infection: An update. Anaesth. 2022, 77, 580–587. [Google Scholar] [CrossRef]
  35. Prasad, N.K.; Lake, R.; Englum, B.R.; Turner, D.J.; Siddiqui, T.; Mayorga-Carlin, M.; Sorkin, J.D.; Lal, B.K. Increased complications in patients who test COVID-19 positive after elective surgery and implications for pre and postoperative screening. Am. J. Surg. 2021, 223, 380–387. [Google Scholar] [CrossRef] [PubMed]
  36. Doglietto, F.; Vezzoli, M.; Gheza, F.; Lussardi, G.L.; Domenicucci, M.; Vecchiarelli, L.; Zanin, L.; Saraceno, G.; Signorini, L.; Panciani, P.P.; et al. Factors Associated With Surgical Mortality and Complications Among Patients With and Without Coronavirus Disease 2019 (COVID-19) in Italy. JAMA Surg. 2020, 155, 691–720. [Google Scholar] [CrossRef] [PubMed]
  37. Collaborative, S.T.; Collaborative, C.O. Death following pulmonary complications of surgery before and during the SARS-CoV-2 pandemic. Br. J. Surg. 2021, 108, 1448–1464. [Google Scholar]
  38. Carrier, F.M.; Amzallag, É.; Lecluyse, V.; Côté, G.; Couture, É.J.; D’Aragon, F.; Kandelman, S.; Turgeon, A.F.; Deschamps, A.; Nitulescu, R.; et al. Postoperative outcomes in surgical COVID-19 patients: A multicenter cohort study. BMC Anesthesiol. 2021, 21, 15. [Google Scholar] [CrossRef] [PubMed]
  39. Olimpiadi, Y.; Goldenberg, A.R.; Postlewait, L.; Gillespie, T.; Arciero, C.; Styblo, T.; Cao, Y.; Switchenko, J.M.; Rizzo, M. Outcomes of the same-day discharge following mastectomy before, during and after COVID-19 pandemic. J. Surg. Oncol. 2023. [Google Scholar] [CrossRef]
  40. Jin, Z.; Hu, J.; Ma, D. Postoperative delirium: Perioperative assessment, risk reduction, and management. Br. J. Anaesth. 2020, 125, 492–504. [Google Scholar] [CrossRef]
Table
Table 1. Demographic variables and endpoints.
Table 1. Demographic variables and endpoints.
VariableLevelsPre-MatchingPost-Matching
Pre-Pandemic (n = 5630)COVID-19-Positive
(n = 373)		p-ValuePre-Pandemic
(n = 746)		COVID-19-Positive
(n = 373)		p-Value
Age, yearsMean (SD)58.63 (14.05)55.61 (14.03)<0.000155.21 (13.94)55.61 (14.03)0.614
ASA
physical status		1–2, n (%)566 (10.1%)37 (9.9%)0.93373 (9.8%)37 (9.9%)0.943
3–5, n (%)5064 (89.9%)336 (90.1%) 673 (90.2%)336 (90.1%)
GenderF, n (%)2837 (50.4%)195 (52.3%)0.48397 (53.2%)195 (52.3%)0.766
M, n (%)2793 (49.6%)178 (47.7%) 349 (46.8%)178 (47.7%)
RaceNon-white, n (%)1226 (21.9%)81 (21.8%)0.94185 (25%)81 (21.8%)0.234
White, n (%)4362 (78.1%)291 (78.2%) 555 (75%)291 (78.2%)
History of
radiotherapy		No, n (%)3616 (64.2%)224 (60.1%)0.103468 (62.7%)224 (60.1%)0.384
Yes, n (%)2014 (35.8%)149 (39.9%) 278 (37.3%)149 (39.9%)
Anticancer systemic
therapies		Chemotherapy, n (%)2593 (85.6%)199 (88.1%)0.429344 (84.9%)199 (88.1%)0.544
Chemo + immuno, n (%)66 (2.2%)2 (0.9%) 7 (1.7%)2 (0.9%)
Immunotherapy, n (%)369 (12.2%)25 (11.1%) 54 (12.2%)25 (11.1%)
Surgery serviceGynecology, n (%) 454 (8.1%)29 (7.8%)0.236
Head & neck, n (%) 783 (13.9%)43 (11.5%)
Neurosurgery, n (%) 654 (11.6%)43 (11.5%)
Orthopedic, n (%) 255 (4.5%)28 (7.5%)
Plastic surgery, n (%) 403 (7.2%)27 (7.2%)
Surgical oncology, n (%) 1312 (23.3%)94 (25.2%)
Thoracic, n (%) 823 (14.6%)49 (13.1%)
Urology, n (%) 946 (16.8%)60 (16.1%)
Anest. duration (min)Mean (SD)402.3 (188)402.6 (188)0.91415.8 (190.1)402 (189.1%)0.2
ASA: American Society of Anesthesiologists. Chemo: Chemotherapy. Immuno: Immunotherapy.
Table
Table 2. Postoperative complications, use of antipsychotics, and mortality.
Table 2. Postoperative complications, use of antipsychotics, and mortality.
VariableLevelsPre-MatchingPost-Matching
Pre-Pandemic
(n = 5630)		COVID-19-
Positive
(n = 373)		p-ValuePre-Pandemic
(n = 746)		COVID-19-
Positive
(n = 373)		p-Value
Use of antipsychoticNo, n (%)5470 (97.2%)366 (98.1%)0.272726 (97.3%)366 (98.1%)0.408
medications (inpatient)Yes, n (%)160 (2.8%)7 (1.9%) 20 (2.7%)7 (1.9%)
Postoperative inpatientNo, n (%)5494 (97.6%)366 (98.1%)0.508732 (98.1%)366 (98.1%)1
neurological complicationsYes, n (%)136 (2.4%)7 (1.9%) 14 (1.9%)7 (1.9%)
Postoperative inpatientNo, n (%)4936 (87.7%)328 (87.9%)0.881667 (89.4%)328 (87.9%)0.458
cardiovascular complicationsYes, n (%)694 (12.3%)45 (12.1%) 79 (10.6%)45 (12.1%)
Postoperative inpatientNo, n (%)4561 (82.6%)292 (78.3%)0.033625 (83.8%)292 (78.3%)0.024
respiratory complicationsYes, n (%)979 (17.4%)81 (21.7%) 121 (16.2%)81 (21.7%)
PostoperativeNo, n (%)4114 (73.1%)261 (70%)0.192566 (75.9%)261 (70%)0.034
complications 30 daysYes, n (%)1516 (26.9%)112 (30%) 180 (24.1%)112 (30%)
Length of stay (days)Mean (SD)5.32 (5.74)5.06 (5.25)0.2895.34 (5.42)5.06 (5.25)0.27
Mortality (30 days)No, n (%)5613 (99.7%)372 (99.7%)1.000745 (99.9%)372 (99.7%)1.000
Yes, n (%)17 (0.3%)1 (0.3%) 1 (0.1%)1 (0.3%)
Table
Table 3. Multivariable logistic regression for use of postoperative antipsychotics medications based on pre- and post-PSM datasets.
Table 3. Multivariable logistic regression for use of postoperative antipsychotics medications based on pre- and post-PSM datasets.
CovariateLevelsPre-PSMPost-PSM
OR (95% CI)p-ValueOR (95% CI)p-Value
GenderF vs. M 1.59 (0.72, 3.51)0.2533
RaceNon-white vs. White1.59 (1.03, 2.44)0.03561.95 (0.67, 5.71)0.2240
ASA physical status3–5 vs. 1–21.51 (0.81, 2.81)0.1914
History of radiotherapyYes vs. No1.37 (1.00, 1.87)0.0498
History of COVID-19Yes vs. No0.65 (0.30, 1.40)0.27120.68 (0.29, 1.63)0.3928
Anesthesia duration≥5 h vs. <5 h1.45 (1.02, 2.06)0.0368
Table
Table 4. Multivariable logistic regression for postoperative respiratory complications based on before and after PSM datasets.
Table 4. Multivariable logistic regression for postoperative respiratory complications based on before and after PSM datasets.
CovariateLevelsPre-PSMPost-PSM
OR (95% CI)p-ValueOR (95% CI)p-Value
Age≥60 vs. <601.37 (1.20, 1,58)<0.00011.41 (1.03, 1.92)0.0316
GenderF vs. M1.11 (0.97, 1.27)0.12720.83 (0.61, 1.14)0.2477
RaceNon-white vs. White1.18 (1.00, 1.40)0.0555
ASA physical status3–5 vs. 1–21.57 (1.21, 2.04)0.0007
History of radiotherapyYes vs. No1.36 (1.19, 1.56)<0.0001
History of COVID-19Yes vs. No1.34 (1.04, 1.73)0.02641.42 (1.04, 1.95)0.0285
Anesthesia duration≥5 h vs. <5 h1.16 (1.00, 1.34)0.0468
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Cata, J.P.; Hu, J.; Feng, L.; Chung, C.; Woodman, S.E.; Meyer, L.A. Association between COVID-19 and Postoperative Neurological Complications and Antipsychotic Medication Use after Cancer Surgery: A Retrospective Study. J. Pers. Med. 2023, 13, 274. https://doi.org/10.3390/jpm13020274

AMA Style

Cata JP, Hu J, Feng L, Chung C, Woodman SE, Meyer LA. Association between COVID-19 and Postoperative Neurological Complications and Antipsychotic Medication Use after Cancer Surgery: A Retrospective Study. Journal of Personalized Medicine. 2023; 13(2):274. https://doi.org/10.3390/jpm13020274

Chicago/Turabian Style

Cata, Juan P., Jian Hu, Lei Feng, Caroline Chung, Scott E. Woodman, and Larissa A. Meyer. 2023. "Association between COVID-19 and Postoperative Neurological Complications and Antipsychotic Medication Use after Cancer Surgery: A Retrospective Study" Journal of Personalized Medicine 13, no. 2: 274. https://doi.org/10.3390/jpm13020274

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop