Acute kidney injury as a risk factor of hyperactive delirium: A case control study

High ASA Physical Status and Low Serum Uric Acid to Creatinine Ratio are Independent Risk Factors for Postoperative Delirium Among Older Adults Undergoing Urinary Calculi Surgery

Purpose

This study was to investigate the incidence and potential predictive factors for postoperative delirium (POD) in older people following urinary calculi surgery, and to establish the corresponding risk stratification score by the significant factors to predict the risk of POD.

Patients and Methods

We retrospectively analyzed the perioperative data of 195 patients aged 65 or older who underwent elective urinary calculi surgery between September 2020 and September 2022. POD was defined by chart-based method, and the serum uric acid to creatinine (SUA/Cr) ratio as well as neutrophil-to-lymphocyte ratio (NLR) were calculated, respectively. Identification of the risk factors for POD was performed by univariate and multivariate logistic regression analysis. Moreover, the risk stratification score was developed based on the regression coefficients of the associated variables.

Results

In 195 eligible patients following urinary calculi surgery, the median age was 69 (66-72) and 19 patients ultimately developed POD (9.7%). The results by univariate analysis showed that patients with advanced age, high American Society of Anesthesiologists (ASA) physical status (≥3) and low SUA/Cr ratio (≤3.3) were more likely to develop POD, but dexmedetomidine can significantly decrease the risk of the occurrence of POD. The multivariate analysis further indicated that high ASA physical status (≥3) and low SUA/Cr ratio (≤3.3) were independently associated with POD, and the POD incidence could obviously be elevated with the increase of risk stratification score. Moreover, patients with delirium had longer hospital stays.

Conclusion

POD is frequent in geriatric patients following urinary calculi surgery (9.7%). The high ASA physical status (≥3) and low SUA/Cr ratio (≤3.3) were effective predictors of POD. The corresponding risk stratification based on these factors could be beneficial to determining patients who are susceptible to POD, and thus better preventing and reducing the occurrence of POD. However, large prospective studies are needed to confirm this finding.

Acute kidney injury-associated delirium: a review of clinical and pathophysiological mechanisms

Acute kidney injury is a known clinical risk factor for delirium, an acute cognitive dysfunction that is commonly encountered in the critically ill population. In this comprehensive review of clinical and basic research studies, we detail the epidemiology, clinical implications, pathogenesis, and management strategies of patients with acute kidney injury-associated delirium. Specifically addressed are the pathological roles of endogenous toxin or drug accumulation, acute kidney injury-mediated neuroinflammation, and acute kidney injury-associated volume overload as discrete potential biological mechanisms of the condition. The optimization of clinical contributors and normalization of renal function are reviewed as pragmatic management strategies in addition to potential and emerging therapeutic approaches.

Construction and Application of a Model for Predicting the Risk of Delirium in Postoperative Patients With Type a Aortic Dissection

Background: Postoperative delirium (POD), an alteration in a patient's consciousness pattern, can affect the treatment and prognosis of a disease.

Objective: To construct a prediction model for delirium in patients with type A aortic dissection after surgery and to validate its effectiveness.

Methods: A retrospective cohort design was used to study 438 patients undergoing surgical treatment for type A aortic dissection from April 2019 to June 2020 in tertiary care hospitals. POD (n = 78) and non-delirium groups (n = 360) were compared and analyzed for each index in the perioperative period. A prediction model was established using multifactorial logistic regression, and 30 patients' perioperative data were collected for model validation.

Results: Eight predictors were included in this study: smoking, diabetes, previous cardiovascular surgery, ejection fraction (EF), time to aortic block, acute kidney injury, low cardiac output syndrome, and pulmonary complications. The area under the receiver operating characteristic (ROC) curve of the constructed prediction model was 0.98 ± 0.005, and the Youden index was 0.91. The validation results showed 97% sensitivity, 100% specificity, and 93% accuracy. The expression of the model was Z = Smoking assignment^* – 2.807 – 6.009^*Diabetes assignment – 2.994^*Previous cardiovascular surgery assignment – 0.129^*Ejection fraction assignment + 0.071^*Brain perfusion time assignment – 2.583^*Acute kidney injury assignment – 2.916^*Low cardiac output syndrome assignment – 3.461^*Pulmonary related complications assignment + 20.576.

Conclusion: The construction of an effective prediction model for the risk of delirium in patients after type A aortic stratification can help identify patients at high risk of POD early. It also provides a reference for healthcare professionals in the prevention and care of these patients.

Perioperative renal protection

PURPOSE OF REVIEW

Acute kidney injury (AKI) is a common but underestimated syndrome in the perioperative setting. AKI can be induced by different causes and is associated with increased morbidity and mortality. Unfortunately, no specific treatment options are available at the moment.

RECENT FINDINGS

AKI is now understood as being a continuum ranging from normal kidney function over AKI and acute kidney disease to ultimately chronic kidney disease. The KDIGO organization recommend in 2012 implementation of preventive bundles in patients at high risk for AKI. In the perioperative setting, relevant measures include hemodynamic optimization, with careful consideration of blood pressure targets, adequate fluid therapy to maintain organ perfusion and avoidance of hyperglycaemia. These measures are most effective if patients at risk are identified as soon as possible and measures are implemented accordingly. Although current point of care functional biomarkers can detect patients at risk earlier than the established damage biomarkers, some components of the preventive bundle are still under investigation.

SUMMARY

Good evidence exists for the use of biomarkers to identify individual patients at risk for AKI and for the implementation of haemodynamic optimization, abdication of nephrotoxins, adequate fluid administration using balanced crystalloid solutions and glycaemic control. The data for using colloids or the degree of nephrotoxicity of contrast media still remain inconclusive.

Incidence and predictors of delirium on the intensive care unit in patients with acute kidney injury, insight from a retrospective registry

Acute kidney injury (AKI) and delirium are common complications on the intensive care unit (ICU). Few is known about the association of AKI and delirium, as well as about incidence and predictors of delirium in patients with AKI. In this retrospective study, all patients with AKI, as defined by the KDIGO (kidney disease improving global outcome) guideline, treated for more than 24 h on the ICU in an university hospital in 2019 were included and analyzed. Delirium was defined by a NuDesc (Nursing Delirium screening scale) ≥ 2, which is evaluated three times a day in every patient on our ICU as part of daily routine. A total of 383/919 (41.7%) patients developed an AKI during the ICU stay. Delirium was detected in 230/383 (60.1%) patients with AKI. Independent predictors of delirium were: age, psychiatric disease, alcohol abuse, mechanical ventilation, severe shock, and AKI stage II/III (all p < 0.05). The primary cause of illness had no influence on the onset of delirium. Among patients with AKI, the duration of the ICU stay correlated with higher stages of AKI and the presence of delirium (stage I/no delirium: median 1.9 (interquartile range (25th–75th) 1.3–2.9) days; stage II/III/no delirium: 2.6 (1.6–5.5) days; stage I/delirium: 4.1 (2.5–14.3) days; stage II/III/delirium: 6.8 (3.5–11.9) days; all p < 0.01). Delirium, defined as NuDesc ≥ 2 is frequent in patients with AKI on an ICU and independently predicted by higher stages of AKI.

How new biomarkers aid the anesthetist to detect and prevent perioperative acute kidney injury

PURPOSE OF REVIEW

Acute kidney injury (AKI) is underestimated but common in the perioperative setting. Although the association of this syndrome with an increased morbidity and mortality has been well established, little progress has been made in the diagnosis or prevention of AKI in recent years. This is partly due to the late detection of AKI by conventional criteria based of functional biomarkers, serum creatinine, and urine output. In addition, conceptually AKI is now recognized as being part of a continuum, in which preventive intervention is time critical. This review will summarize the current best available evidence and explain why timely perioperative management does have impact on the development of AKI and overall outcomes for patients.

RECENT FINDINGS

Damage biomarkers can reliably identify AKI earlier than conventional functional biomarkers, facilitating more timely preventive intervention. Although the interventions published in the Kidney Disease: Improving Global Outcomes guideline are all important, the most relevant preventive options perioperatively include maintenance of adequate volume status and perfusion pressure, and the focus on balanced crystalloid solutions as maintenance fluid.

SUMMARY

AKI is a time critical syndrome that requires timely detection and damage biomarkers can help to adjust the perioperative management to prevent further injury.

Risk factors associated with postoperative intensive care unit delirium in patients undergoing invasive mechanical ventilation following acute exacerbation of chronic obstructive pulmonary disease

OBJECTIVE

This study was performed to determine the risk factors associated with intensive care unit delirium (ICUD) in patients undergoing invasive mechanical ventilation (IMV) secondary to acute exacerbation of chronic obstructive pulmonary disease (COPD).

METHODS

Data involving 620 patients undergoing IMV secondary to acute exacerbation of COPD from 2009 to 2019 at the First Hospital of Hebei Medical University were retrospectively analysed. The primary endpoint was the risk factors associated with developing ICUD. Univariable and multivariable logistic regression analyses were used to identify these risk factors.

RESULTS

Of 620 patients, 93 (15.0%) developed ICUD. In the multivariable analysis, risk factors that were significantly associated with ICUD were increased age, male sex, alcoholism with active abstinence, current smoking, stage 3 acute kidney injury (AKI), and an American Society of Anesthesiologists (ASA) physical status of III.

CONCLUSION

This study showed that increasing age, male sex, alcoholism with active abstinence, current smoking, stage 3 AKI, and an ASA physical status of III might be associated with a risk of developing ICUD. Even if these risk factors are unaltered, they provide a target population for quality improvement initiatives.

Pharmacological treatment of hyperactive delirium in people with COVID-19: rethinking conventional approaches

People with coronavirus disease (COVID-19) might have several risk factors for delirium, which could in turn notably worsen the prognosis. Although pharmacological approaches for delirium are debated, haloperidol and other first-generation antipsychotics are frequently employed, particularly for hyperactive presentations. However, the use of these conventional treatments could be limited in people with COVID-19, due to the underlying medical condition and the risk of drug-drug interactions with anti-COVID treatments. On these premises, we carried out a rapid review in order to identify possible alternative medications for this particular population. By searching PubMed and the Cochrane Library, we selected the most updated systematic reviews of randomised trials on the pharmacological treatment of delirium in both intensive and non-intensive care settings, and on the treatment of agitation related to acute psychosis or dementia. We identified medications performing significantly better than placebo or haloperidol as the reference treatment in each population considered, and assessed the strength of association according to validated criteria. In addition, we collected data on other relevant clinical elements (i.e. common adverse events, drug-drug interactions with COVID-19 medications, daily doses) and regulatory elements (i.e. therapeutic indications, contra-indications, available formulations). A total of 10 systematic reviews were included. Overall, relatively few medications showed benefits over placebo in the four selected populations. As compared with placebo, significant benefits emerged for quetiapine and dexmedetomidine in intensive care unit (ICU) settings, and for none of the medications in non-ICU settings. Considering also data from indirect populations (agitation related to acute psychosis or dementia), aripiprazole, quetiapine and risperidone showed a potential benefit in two or three different populations. Despite limitations related to the rapid review methodology and the use of data from indirect populations, the evidence retrieved can pragmatically support treatment choices of frontline practitioners involved in the COVID-19 outbreak, and indicate future research directions for the treatment of delirium in particularly vulnerable populations.

Validation of a multidisciplinary care protocol for critically ill patients with delirium

OBJECTIVE

To validate a multiprofessional protocol for the care of patients with delirium admitted to an intensive care unit.

METHOD

Methodological study with the purpose of confirming with experts the care recommendations proposed in the protocol. For the content validation process, the content validity index of ≥ 0.90 was considered.

RESULTS

Of the 48 recommendations submitted to content validation, only four did not reach consensus through the content validity index. The multiprofessional protocol for patients with delirium in the intensive care unit included care related to the diagnosis of delirium, pause in sedation, early mobilization, pain management, agitation and delirium, cognitive guidance, sleep promotion, environmental interventions, and family participation.

CONCLUSION

The multiprofessional protocol qualifies the care provided to critically ill patients with delirium, improving clinical outcomes.