Preoperative prognostic nutritional index is useful factor for predicting postoperative delirium after primary total joint arthroplasty

Incidence and associated factors of delirium after primary total joint arthroplasty in elderly patients: A systematic review and meta-analysis

BACKGROUND

A total of 1.5% to 20.2% of total joint arthroplasty patients experience delirium. Until now, no formal systematic review or meta-analysis was performed to summarize the risk factors of delirium after primary total joint arthroplasty (TJA).

METHODS

A comprehensive search encompassing Medline, Embase, and the Cochrane central database was conducted, incorporating studies available up to June 2023. We systematically reviewed research on the risk factors contributing to delirium following TJA in elderly patients, without language restrictions. The methodological quality of the included studies was evaluated using the Newcastle-Ottawa Scale. Data synthesis through pooling and a meta-analysis were performed to analyze the findings.

RESULTS

A total of 23 studies altogether included 71,095 patients with primary TJA, 2142 cases of delirium occurred after surgery, suggesting the accumulated incidence of 3.0%. The results indicated that age, current smoker, heavy drinker, mini-mental state examination score, hypertension, diabetes mellitus, chronic kidney disease, history of stroke, coronary arterial disease, dementia, history of psychiatric illness, American Society of Anesthesiologists physical status III-IV, general anesthesia, anesthesia time, operative time, intraoperative blood loss, blood transfusion, β-blockers, ACEI drugs, use of psychotropic drugs, preoperative C-reactive protein level, and preoperative albumin level were significantly associated with postoperative delirium after primary TJA.

CONCLUSIONS

Related prophylaxis strategies should be implemented in the elderly involved with above-mentioned risk factors to prevent delirium after primary TJA.

Correlation analysis between plasma biomarkers albumin, fibrinogen, and their ratio with postoperative delirium in patients undergoing non-cardiac surgery: a systematic review and meta-analysis

OBJECTIVES

This meta-analysis aimed to investigate the correlation between plasma biomarkers, such as albumin and fibrinogen, and their ratio with postoperative delirium (POD) in patients undergoing non-cardiac surgery.

METHODS

Relevant observational cohort studies were systematically searched in PubMed, EMBASE, CINAHL, and the Cochrane Library databases as of March 2023. This meta-analysis was conducted using RevMan 5.4.1 and Stata 15.0 software. For continuous variables with non-uniform units, the standardized mean difference (SMD) and 95% confidence intervals (CIs) were used; otherwise, the mean difference (MD) and 95% CIs were employed. The Newcastle-Ottawa Scale (NOS) was applied to assess the quality of included literature.

RESULTS

Eighteen studies encompassing 7,011 patients were included. The meta-analysis revealed significantly lower albumin levels (sixteen studies, 5,813 patients, SMD = -0.45, 95% CI = -0.64 to -0.26, P < 0.00001, I2 = 80%) and albumin-fibrinogen ratio (AFR) (four studies, 824 patients, MD = -0.62, 95% CI = -0.76 to -0.48, P = 0.56, I2 = 0%) in the delirious group. Conversely, higher fibrinogen concentrations (two studies, 441 patients, MD = 0.13, 95% CI = 0.02 to 0.24, P = 0.69, I2 = 0%) were observed in the delirious group. Due to high heterogeneity in albumin levels (P < 0.00001, I2 = 80%), we conducted a subgroup and sensitivity analysis, and confirmed that the association of albumin levels was not influenced by surgery type, design or delirium evaluation instruments.

CONCLUSIONS

Preoperative albumin, fibrinogen and AFR levels were associated with POD, potentially aiding in identifying high-risk patients and playing a key role in preventing POD.

Preoperative prognostic nutritional index value as a predictive factor for postoperative delirium in older adult patients with hip fractures: a secondary analysis

BACKGROUND

Malnutrition is a common geriatric syndrome and can be targeted preoperatively to decrease the risk of postoperative delirium (POD) in older adult patients. To analyze the value of the prognostic nutritional index (PNI) to predict the incidence of POD in older adult patients with hip fractures.

METHODS

This was a prospective, observational, cohort study of older adult patients with hip fractures. Preoperative PNI was calculated as 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (/μL) using preoperative laboratory results. Patients were divided into POD and non-POD groups using the Confusion Assessment Method (CAM). The risk factors associated with POD as well as the relationship between PNI values and the incidence of POD were analyzed using univariate and multivariate logistic regression analyses. The predictive value of PNI for POD was assessed using receiver operating characteristic curve analysis.

RESULTS

In this cohort of 369 patients who underwent hip fracture surgery, 67 patients (18.2%) were diagnosed with POD by the CAM results. Low PNI increased the risk of POD (odds ratio (OR) = 0.928, 95% confidence interval (CI): 0.864-0.997). General anesthesia (OR = 2.307, 95% CI: 1.279-4.162) and Mini-Mental State Examination (MMSE) score (OR = 0.956, 95% CI: 0.920-0.994) were also identified as risk factors for POD. Receiver operating characteristic curve analysis suggested that PNI combined with the anesthetic method and MMSE score may be used as a potential predictive indicator of POD after hip fracture surgery.

CONCLUSION

Preoperative PNI value is related to POD in older adult patients with hip fractures.

TRIAL REGISTRATION

This secondary analysis study was approved by the Peking University Third Hospital Medical Science Research Ethics Committee (approval No. M2022578) and registered in the Chinese Clinical Trial Registry (ChiCTR2300070569).

Comprehensive geriatric assessment to predict adverse events in elderly patients undergoing posterior lumbar fusion surgery

PURPOSE

Although comprehensive geriatric assessment (CGA) has been used widely, its impact on adverse events in elderly patients has not been fully examined. The present study aimed to investigate the relationships between subcomponents of CGA and adverse events (AEs) in elderly patients undergoing posterior lumbar fusion surgery.

METHODS

A total of 242 eligible elderly patients enrolled. Our CGA included activities of daily living, instrumental activities of daily living, nutritional status, cardiac function, pulmonary function, renal function, frailty, cognition, anxiety, depression, delirium, chronic pain score, comorbidity and polypharmacy. Comprehensive complication index was used to summarize postoperative complications and its severity. Logistic regression was performed to determine the relationships between subcomponents of a CGA and postoperative AEs.

RESULTS

Present study found that female were more vulnerable to have AEs. Postoperative major AEs were associated with delirium (odds ratio (OR): 4.302, 95% confidence interval (CI) 1.720-10.761, p = 0.002), nutritional status (OR: 3.030, 95%CI 1.218-7.541, p = 0.017), cognitive impairment (OR: 4.122, 95%CI 1.179-14.407, p = 0.027), Charlson comorbidity index (CCI) (OR: 4.800, 95%CI 1.852-12.440, p = 0.001) and severe dependent (OR: 3.772, 95%CI 1.116-9.841, p = 0.007). Further analysis showed that delirium (OR: 2.824, 95%CI 1.068-7.467, p = 0.036) and CCI (OR: 3.221, 95%CI 1.184-8.766, p = 0.022) were independently related to major AEs.

CONCLUSIONS

These results indicate that preoperative screening preoperative delirium, cognitive, nutrition and CCI are essential to prevent postoperative major AEs of the surgical elderly.

Preoperative prognostic nutritional index predicts postoperative delirium in aged patients after surgery: A matched cohort study

OBJECTIVE

Prognostic nutritional index (PNI) is an indicator to evaluate the nutritional immune status of patients. This study aimed to assess whether preoperative PNI could predict the occurrence of postoperative POD in aged patients undergoing non-neurosurgery and non-cardiac surgery.

METHOD

The aged patients undergoing non-neurosurgery and non-cardiac surgery between January 2014 and August 2019 were included in the retrospective cohort study. The correlation between POD and PNI was investigated by univariate and multivariable logistic regression analysis, propensity score matching (PSM), inverse probability of treatment weighting (IPTW), and subgroup analysis.

RESULTS

In the cohort (n = 29,814), the cutoff value of PNI was 46.01 determined by the receiver operating characteristic (ROC) curve. In univariate and three multivariable regression analysis, the ORs of PNI ≤ 46.01 was 2.573(95% CI:2.261-2.929, P < 0.001),1.802 (95% CI:1.567-2.071, P < 0.001),1.463(95% CI:1.246-1.718, P < 0.001),1.370(95% CI:1.165-1.611, P < 0.001). In the PSM model and IPTW model, the ORs of PNI ≤ 46.01 were 1.424(95% CI:1.172-1.734, P < 0.001) and 1.356(95% CI:1.223-1.505, P < 0.001).

CONCLUSION

The PNI was found to have a predictive value for POD in patients undergoing non-neurosurgery and non-cardiac surgery. Improving preoperative nutritional status may be beneficial in preventing POD for aged patients.

Inflammatory and nutritional markers predict the risk of post-operative delirium in elderly patients following total hip arthroplasty

Objectives

This study intended to explore whether albumin-associated inflammatory and nutritional markers could predict post-operative delirium (POD) in older patients after total hip arthroplasty (THA). In addition, we established a nomogram model for POD prediction.

Methods

Totally, 254 elderly cases who received THA were included. Clinical and laboratory data of these patients were retrospectively collected. Albumin-associated inflammatory and nutritional markers included neutrophil-to-albumin ratio (NAR), CRP-to-albumin ratio (CAR), prognostic nutritional index (PNI), and systemic inflammation score (SIS). The LASSO, univariate and multivariate logistic regression analyses were utilized to screen risk factors. A nomogram model was developed according to the results of multivariate regression analyses.

Results

Among 254 patients, 49 cases had POD with an incidence of 19.3%. LASSO regression and multivariate logistic analyses suggested that preoperative NAR, preoperative PNI, preoperative SIS, and age >75 years were risk factors for POD. A nomogram model was developed according to the results of multivariate logistic analyses. The calibration curve suggested that the predicted probability of this nomogram model was in good line with the actual probability. The DCA showed that this nomogram model had net benefits for the prediction of POD for elderly patients following THA.

Conclusion

Albumin-associated inflammatory and nutritional markers including NAR, PNI, and SIS could predict POD in elderly patients following THA.

Predicative factors and development of a nomogram for postoperative delayed neurocognitive recovery in elderly patients with gastric cancer

BACKGROUND

Delayed neurocognitive recovery (DNR) is a common complication after radical gastrectomy and closely associated with poor outcomes. This study aimed to investigate predictors and develop a nomogram prediction model for DNR.

METHODS

Elderly gastric cancer (GC) patients (≥ 65 years) undergoing elective laparoscopic radical gastrectomy between 2018 and 2022 were prospectively included in this study. DNR was diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V, 2013). Independent risk factors for DNR were screened by the multivariate logistic regression analysis. Based on these factors, the nomogram model was established and validated by R.

RESULTS

A total of 312 elderly GC patients were enrolled in the training set, with an incidence of DNR within postoperative 1 month of 23.4% (73/312). Multivariate logistic regression analysis indicated that age (OR: 1.207, 95%CI: 1.113-1.309, P < 0.001), nutritional risk screening 2002 (NRS2002) score (OR: 1.716, 95%CI: 1.211-2.433, P = 0.002), neutrophil-to-lymphocyte ratio (NLR) (OR: 1.976, 95%CI: 1.099-3.552, P = 0.023), albumin-to-fibrinogen ratio (AFR) (OR: 0.774, 95%CI: 0.620-0.966, P = 0.024), and prognostic nutritional index (PNI) (OR: 0.768, 95%CI: 0.706-0.835, P < 0.001) were five independent factors for DNR in elderly GC patients. The constructed nomogram model based on these five factors has a good predictive value for DNR with an area under the curve (AUC) of 0.863.

CONCLUSIONS

In conclusions, the established nomogram model based on age, NRS-2002, NLR, AFR, and PNI has a well predictive value for postoperative DNR in elderly GC patients.

Association of preoperative prognostic nutritional index with risk of postoperative delirium: A systematic review and meta-analysis

Study objective

To assess the association between prognostic nutritional index (PNI) and risk of postoperative delirium (POD) in adult patients.

Methods

MEDLINE, Google scholar, EMBASE, and Cochrane library databases were searched from inception till April 2022. The primary outcome was the association between PNI and the risk of POD, while the secondary outcomes were correlations of other prognostic factors with POD risk. The correlation between PNI and the incidence of POD was assessed with three approaches: Difference in preoperative PNI between POD and non-POD groups (Model 1) as well as the association of PNI as a continuous parameter (Model 2) or as a binary variable (i.e., low vs. high using a PNI cut-off value of 50) (Model 3) with POD risk.

Results

Analysis of nine observational studies published from 2010 to 2021 recruiting 3,743 patients showed a POD incidence of 6.4-35%. Our meta-analysis demonstrated a lower PNI among patients in the POD group (MD: -3.78, 95% CI: -4.85 to -2.71, p < 0.0001, I ² = 54.2%) compared to the non-POD group (Model 1). Pooled results revealed a negative association between PNI and POD risk for both Model 2 (OR: 0.91, 95% CI: 0.86-0.97, p = 0.002, I ² = 71%) and Model 3 (OR: 1.68, 95% CI: 1.26-2.23, p < 0.0001, I ² = 0%). Besides, while our results supported an age-dependent increase in POD risk, other factors including body-mass index, surgical time, health status, hypertension, diabetes mellitus, and male gender were non-significant predictors of POD.

Conclusion

Our results demonstrated a negative association between PNI and POD, which warrant further large-scale studies for validation.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, identifier CRD42022323809.

Risk factors for postoperative delirium following total hip or knee arthroplasty: A meta-analysis

Objectives

The purpose of this study was to identify risk factors for delirium after total joint arthroplasty (TJA) and provide theoretical guidance for reducing the incidence of delirium after TJA.

Methods

The protocol for this meta-analysis is registered with PROSPERO (CRD42020170031). We searched PubMed, the Cochrane Library and Embase for observational studies on risk factors for delirium after TJA. Review Manager 5.3 was used to calculate the relative risk (RR) or standard mean difference (SMD) of potential risk factors related to TJA. STATA 14.0 was used for quantitative publication bias evaluation.

Results

In total, 25 studies including 3,767,761 patients from 9 countries were included. Old age has been widely recognized as a risk factor for delirium. Our results showed that the main risk factors for delirium after TJA were patient factors (alcohol abuse: RR = 1.63; length of education: SMD = −0.93; and MMSE score: SMD = −0.39), comorbidities (hypertension: RR = 1.26; diabetes mellitus: RR = 1.67; myocardial infarction: RR = 17.75; congestive heart failure: RR = 2.54; dementia: RR = 17.75; renal disease: RR = 2.98; history of stroke: RR = 4.83; and history of mental illness: RR = 2.36), surgical factors (transfusion: RR = 1.53; general anesthesia: RR = 1.10; pre-operative albumin: SMD = −0.38; pre-operative hemoglobin: SMD = −0.29; post-operative hemoglobin: SMD = −0.24; total blood loss: SMD = 0.15; duration of surgery: SMD = 0.29; and duration of hospitalization: SMD = 2.00) and drug factors (benzodiazepine use: RR = 2.14; ACEI use: RR = 1.52; and beta-blocker use: RR = 1.62).

Conclusions

Multiple risk factors were associated with delirium after TJA. These results may help doctors predict the occurrence of delirium after surgery and determine the correct treatment.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, identifier: CRD42020170031.

Noise pareidolia test for predicting delirium in hospitalized older patients with cognitive decline

AIM

Although older people are at an increased risk of developing delirium during hospitalization, no definitive screening tools exist to predict the condition. This study aimed to examine the effectiveness of the noise pareidolia test (NPT) as a tool for predicting the onset of post-hospitalization delirium in older adults.

METHODS

Hospitalized patients who were cared for by a multidisciplinary geriatric care team owing to behavioral symptoms, difficulties in communication, and a history of dementia or delirium were analyzed. The NPT was performed on patients who could complete a Mini-Mental State Examination within 3 days of admission. Demographic and clinical data were recorded on the same day as the NPT or within 3 days of admission. Delirium was assessed using the observation-based Delirium Screening Tool (DST).

RESULTS

Of 96 patients, 59 were in the DST-negative group and 37 in the DST-positive group. Benzodiazepine agonist use, serum potassium levels, and the number of images in which pareidolia was noted (i.e., the NPT score) significantly differed between groups. Logistic regression analysis identified benzodiazepine agonist use (odds ratio, 2.897; P = 0.032), serum potassium levels (odds ratio, 0.427; P = 0.041) and NPT scores (odds ratio, 1.253; P = 0.017) as significant predictors of DST results. The receiver operating characteristic curve analysis showed an NPT score of 1 as the appropriate cutoff value.

CONCLUSIONS

A positive NPT score was identified as an independent predictor of delirium in older patients admitted to an acute care hospital with cognitive dysfunction. Geriatr Gerontol Int 2022; ••: ••-••.