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Objectives: To evaluate the duration of subsyndromal delirium (SSD) in intensive care unit (ICU) patients and the factors associated with SSD duration. Methods: This retrospective study included adult patients admitted to the ICU of Affiliated Hospital of Nantong University between December 2019 and June 2020. All patients with Richmond Agitation Sedation Scale scores of ≥−2 were evaluated every 8 h using the confusion assessment method of the intensive care unit (CAM‐ICU) until the patients with SSD were negative, progressed to delirium, fell into a coma, died, or were discharged from the ICU. Multivariable Cox regression analyses were performed to determine the factors associated with SSD duration. Results: Of the 388 patients, 53.6% had SSD, and 20.7% progressed from SSD to delirium. The duration of SSD ranged from 8 to 248 h, and the median duration was 48 h (interquartile range, 24–72). Age (hazard ratio [HR] = 0.985, 95% confidence interval [CI], 0.971–0.999, p = 0.035), surgery or not (HR = 0.514; 95% CI, 0.310–0.850; p = 0.010), duration of ventilation (HR = 1.003; 95% CI, 1.000–1.006; p = 0.044), duration of hypoxia (HR = 0.212; 95% CI, 0.103–0.438; p < 0.001), and adapted cognitive exam scores (HR = 1.057; 95% CI, 1.030–1.085; p < 0.001) were independently associated with the duration of SSD. Conclusions: The duration of SSD was associated with age, surgery, duration of ventilation, duration of hypoxia, and cognitive function. SSD has a high incidence among ICU patients, and many patients progress to delirium. Patient or Public Contribution: The study team met with public members of the evaluation teams throughout the project in a series of workshops. Workshops informed study design, data collection tools and data interpretation. Relevance to Clinical Practice: ICU staff should pay attention to SSD patients with older age, history of surgery, longer duration of ventilation, prolonged duration of hypoxia, and lower ACE scores. [ABSTRACT FROM AUTHOR]

Aim: The aim of this study is to determine the prevalence and risk factors for subsyndromal delirium in the postoperative patient. Design: A systematic review and meta- analysis. Methods: The Review Manager 5.3 statistics platform and the Newcastle- Ottawa Scale were used for quality evaluation. Data Sources: The following databases were searched: PubMed, Web of Science, EMBASE, The Cochrane Library, Scopus and EBSCO from January 2000 to December 2021. Additional sources were found by looking at relevant articles' citations. Results: A total of 1744 titles were originally identified, and five studies including 962 patients were included in the systematic review, with a pooled prevalence of postoperative subsyndromal delirium (PSSD) of 30% (95% CI: 0.28-0.32). Significant risk variables for PSSD were older age, low levels of education (≤9 years), cognitive impairment, higher comorbidity score, and the duration of operation. Conclusion: PSSD is prevalent and is associated with a variety of risk factors as well as low academic performance. Impact: Identification and clinical management of patients with PSSD should be improved. Future research on PSSD risk factors should look at a wider range of intraoperative and postoperative risk factors that can be changed. Patient and Public Contribution: No Patient or Public Contribution. [ABSTRACT FROM AUTHOR]

[Objectives] This study aimed to investigate the incidence and risk factors associated with SSD in patients following cardiac surgery. [Methods] A total of 378 patients who underwent cardiac surgery in Taihe Hospital were recruited and screened. Diagnosis of delirium was made using evaluation methods and DSM-5 criteria. SSD was defined as the presence of one or more core features of delirium without meeting the full diagnostic criteria. Statistical analysis included independent samples t-test for group comparisons and binary logistic regression analysis to identify independent risk factors for SSD after cardiac surgery. [Results] Among the 378 subjects, 112 (29.63%) had SSD, 28 (7.41%) had delirium, and the remaining 238 patients (62.96%) did not present with delirium. Univariate analysis revealed that age, APACHE II score, duration of aortic clamping, length of ICU stay, duration of sedation use, and daily sleep time were significant risk factors for the occurrence of SSD (P<0.05). Logistic regression analysis identified age >70 years old, APACHE II score >20 points, length of ICU stay >5 d, and duration of sedation use >24 h as independent risk factors for SSD after cardiac surgery (P<0.05). A functional model was fitted based on the analysis results of the binary logistic regression model, yielding the equation logit P=1.472X1+2.213X2+3.028X3+1.306X4. [Conclusions] Comprehensive clinical assessment is crucial for patients undergoing cardiac surgery, and appropriate preventive measures should be taken for patients with identified risk factors. Close monitoring of the patient's consciousness should be implemented postoperatively, and timely interventions should be conducted. Further research should focus on model validation and optimization. [ABSTRACT FROM AUTHOR]

Junning Cheng,&ast; Yuewen Lao,&ast; Xiangping Chen, Xiaoting Qiao, Weijing Sui, Xiaoyan Gong, Yiyu Zhuang Nursing Department, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Yiyu Zhuang, Nursing Department, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, People’s Republic of China, Tel +8613588708076, Email zhuangyy@zju.edu.cnPurpose: To develop a dynamic nomogram of subsyndromal delirium (SSD) in intensive care unit (ICU) patients and internally validate its efficacy in predicting SSD.Patients and Methods: Patients who met the inclusion and exclusion criteria in the ICU of a tertiary hospital in Zhejiang from September 2021 to June 2022 were selected as the research objects. The patient data were randomly divided into the training set and validation set according to the ratio of 7:3. The least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression were used to screen the predictors of SSD, and R software was used to construct a dynamic nomogram. Receiver operating characteristic (ROC) curve, calibration band and decision curve were used to evaluate the discrimination, calibration and clinical effectiveness of the model.Results: A total of 1000 eligible patients were included, including 700 in the training set and 300 in the validation set. Age, drinking history, C reactive protein level, APACHE II, indwelling urinary catheter, mechanical ventilation, cerebrovascular disease, respiratory failure, constraint, dexmedetomidine, and propofol were predictors of SSD in ICU patients. The ROC curve values of the training set was 0.902 (95% confidence interval: 0.879– 0.925), the best cutoff value was 0.264, the specificity was 78.4%, and the sensitivity was 88.0%. The ROC curve values of the validation set was 0.888 (95% confidence interval: 0.850– 0.930), the best cutoff value was 0.543, the specificity was 94.9%, and the sensitivity was 70.9%. The calibration band showed good calibration in the training and validation set. Decision curve analysis showed that the net benefit in the model was significantly high.Conclusion: The dynamic nomogram has good predictive performance, so it is a precise and effective tool for medical staff to predict and manage SSD in the early stage.Keywords: subsyndromal delirium, intensive care unit, nomogram, prediction model, LASSO

Jiawei Qian,1,2 Xiulan Shen,3 Xin Gao,3 Qiuhua Sun2 1Department of Nursing, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China; 2School of Nursing, Zhejiang Chinese Medical University, Hangzhou, People’s Republic of China; 3Emergency and Trauma Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of ChinaCorrespondence: Qiuhua Sun, Email sqh807@163.comBackground: Delirium is common in older patients during the postoperative period, increasing the number of adverse events, and grip strength is associated with delirium. Subsyndromal delirium (SSD) is a prostate of clinical delirium; nevertheless, the relationship between grip strength and SSD has not been elucidated. This study aimed to examine the association between grip strength and SSD in the elderly after arthroplasty.Methods: A total of 181 patients were recruited from two Chinese hospitals. SSD and delirium were evaluated before the surgery and the first week after surgery using the confusion assessment method. The Mini-mental State Examination was used to assess patients’ cognitive function, and their grip strength was evaluated with an electronic hand dynamometer before surgery. Logistic regression and ROC curve analysis were conducted to determine the odds ratio and predictive value of grip strength for SSD.Results: The incidence of SSD and postoperative delirium (POD) was 41.44% and 14.36% for the elderly following arthroplasty respectively, and approximately 1/3 of SSD progressed into POD. Older age, declined cognitive function, fall history, and lower grip strength were risk factors for SSD (P< 0.05). The area under the ROC curve of grip strength was 0.863 and 0.900 for males and females respectively, and the cut-off point of it was determined to be 22.050 kg for men and 18.050 kg for women.Conclusion: SSD and POD are common among older people. Decreased grip strength, advanced age, lower cognitive function, and fall history were independent risk factors for SSD, and grip strength was a significant predictor for SSD in aged patients after the arthroplasty.Keywords: subsyndromal delirium, delirium, grip strength, risk factor, joint replacement

Subsyndromal delirium (SSD) in the Intensive Care Unit (ICU) is associated with an increased morbidity with unknown post-discharge functional and cognitive outcomes. We performed a prospective multicenter study to analyze the mental status of patients during their first 72 h after ICU admission and its trajectory, with follow-ups at 3 and 6 months after hospital discharge. Amongst the 106 included patients, SSD occurred in 24.5% (n = 26) and was associated with the duration of mechanical ventilation (p = 0.003) and the length of the ICU stay (p = 0.002). After the initial 72 h, most of the SSD patients (30.8%) improved and no longer had SSD; 19.2% continued to experience SSD and one patient (3.8%) progressed to delirium. The post-hospital discharge survival rate for the SSD patients was 100% at 3 months and 87.5% at 6 months. At admission, 96.2% of the SSD patients were fully independent in daily living activities, 66.7% at 3-month follow-up, and 100% at 6-month follow-up. Most SSD patients demonstrated a cognitive decline from admission to 3-month follow-up and improved at 6 months (IQCODE-SF: admission 3.13, p < 0.001; 3 months 3.41, p = 0.019; 6 months 3.19, p = 0.194). We concluded that early SSD is associated with worse outcomes, mainly a transitory cognitive decline after hospital discharge at 3 months, with an improvement at 6 months. This highlights the need to prevent and identify this condition during ICU stays. [ABSTRACT FROM AUTHOR]

Yan Gao,1 Siyuan Gong,2 Wen Zhou,1 Xia Li,3 Xiuni Gan1 1Nursing Department, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China; 2Department of Neurology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China; 3Department of Intensive Care Medicine, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of ChinaCorrespondence: Xiuni Gan, Head of the nursing department, Jiangnan Campus, the Second Hospital of Chongqing Medical University, Nanan District, Chongqing, People’s Republic of China, Tel +8613883309318, Email 300650@cqmu.edu.cnBackground: Subsyndromal delirium (SSD) is a common neuropsychiatric disorder among the intensive care units (ICU) patients. SSD is characterized by the presence of delirium symptoms but it does not meet the diagnostic criteria of delirium, resulting in poor patient prognosis.Objective: The aim of this study was to explore the prevalence and risk factors for SSD among adult patients admitted to the ICU of XXX hospital in Southwest China.Methods: The study participants comprised 309 patients referred to the ICU in XXX hospital between 10th August 2021 and 5th June 2022. Demographic information, medical history, and other patient information were recorded. ICDSC assessment, physical examination and laboratory tests were performed on enrolled patients. Cognitive evaluation was conducted using the MMSE method.Results: The results showed that out the 309 patients, 99 had possible SSD (prevalence of 32.0%), with 55 SSD1 cases (ICDSC score of 1, 17.8% prevalence), 29 SSD2 cases (ICDSC score of 2, 9.4% prevalence) and 15 SSD3 cases (ICDSC score of 3, 4.9% prevalence). Previous history of mental illness (OR, 3.741; 95% CI, 1.136– 12.324; P < 0.05), auxiliary ventilation (OR, 3.364; 95% CI, 1.448– 7.813; P < 0.01), hemodialysis (OR, 11.369; 95% CI, 1.245– 103.840; P < 0.05), MMSE score (OR, 0.845; 95% CI, 0.789– 0.904; P < 0.001) and a temperature ≥ 37.5 °C (OR, 3.686; 95% CI, 1.404– 9.732; P < 0.01) were independent risk factors for occurrence of SSD among ICU patients.Conclusion: Approximately one-third of the patients in the intensive care unit had high risk of SSD. Nursing staff should pay attention to management of the high-risk patients to prevent SSD from progressing delirium to improve patient prognosis.Keywords: intensive care units, ICU, prevalence, risk factors, subsyndromal delirium

BackgroundPharmacological avoidance guidelines for preventing delirium have been suggested; however, there are limited pragmatic studies of these strategies. Early (65 years) patients undergoing elective surgeries.MethodsThe randomized controlled trial assessed an ADP developed using the American Geriatric Society's Clinical Practice Guidelines for Postoperative Delirium in Older Adults, on early (

• An intervention program that combined transcutaneous electrical acupoint stimulation and an integrated perioperative nursing program was developed. • We Identified the beneficial effects of this program that could effectively reduce delirium symptoms severity and cognitive impairment in older patients after joint replacement surgery. • This intervention program also significantly released depressive and anxiety symptoms for old patients who underwent joint replacement. This study aimed to develop transcutaneous electrical acupoint stimulation combined with an integrated perioperative nursing program and evaluate its effects on preventing subsyndromal delirium (SSD) and postoperative delirium (POD) in older patients after joint replacement surgery. Participants were randomly divided into two groups, the experimental group (n = 48) was given transcutaneous electrical acupoint stimulation combined with an integrated perioperative nursing program based on the routine care of the control group (n = 49). The incidence of SSD and POD in a week after surgery was recorded. Assessments of delirium severity, cognition, anxiety, and depression were also conducted at baseline and on postoperative day 7. The findings indicate that the intervention program had significant advances in alleviating the severity of delirium, cognitive impairment, anxiety, and depression but failed to reduce the incidence of SSD and POD. Our study indicated that TEAS combined with an integrated perioperative nursing program has a beneficial effect on alleviating symptoms of delirium, cognitive dysfunction, anxiety, and depression in older adults after joint replacement surgery. [ABSTRACT FROM AUTHOR]

Addisu Dabi Wake Nursing Department, College of Health Sciences, Arsi University, Asella Town, Oromia Regional State, EthiopiaCorrespondence: Addisu Dabi Wake, Nursing Department, College of Health Sciences, Arsi University, P.O. Box: 193/04, Asella, Ethiopia, Tel +251 910 2867 66, Email addansa12@gmail.com; addisud@arsiun.edu.et

Despite recent advances in the field, the association between subsyndromal delirium (SSD) in the ICU and poor outcomes is not entirely clear. We performed a retrospective multicentric observational study analyzing mental status during the first 72 h of ICU stay. Of the 681 patients included, SSD occurred in 22.7%. Considering the worst cognitive assessment during the first 72 h, 233 (34%) patients had normal mental status, 124 (18%) patients had SSD and 324 (48%) patients had delirium or coma. SSD was not independently associated with an increased risk of death when compared with normal mental status (OR 95%IC 1.0 vs. 1.35 [0.73–1.49], p = 0.340), but was associated with a longer ICU LOS (7.0 (4–12) vs. 4 (3–8) days, p < 0.001). SSD patients who deteriorated to delirium or coma (21%) had a longer ICU LOS in comparison with those who improved or maintained mental status (8 (5–11) vs. 6 (4–8) days, p = 0.025), but did not have an increase in mortality. The main factors associated with the progression from SSD to delirium or coma were the use of mechanical ventilation, the use of intravenous benzodiazepines and a baseline APACHE II score > 23 points. Our findings support the association of SSD with increased ICU LOS, but not with ICU mortality. Monitoring the trajectory of SSD early at ICU admission can help to identify patients with increased risk of conversion from SSD to delirium or coma. [ABSTRACT FROM AUTHOR]

Aims: The aims of the study are to investigate the current status of nurses' assessment of subsyndromal delirium (SSD) in the intensive care unit (ICU) and explore possible barriers to assessment. Background: SSD is a dynamic, recognizable disorder commonly seen in the ICU that can lead to poor patient outcomes. Timely recognition and management can prevent its progression. Methods: A cross‐sectional survey design was used to collect data from ICU registered nurses in southwest China. The online survey containing an analysis of the current status of SSD assessment and barriers was completed by 237 nurses. Results: A total of 51.5% of nurses chose to assess SSD using an assessment tool, the most commonly used being the Confusion Assessment Method for the Intensive Care Unit; the frequency of assessment was mostly once a day (66, 41.0%) and often at shift change (178, 87.3%). There were statistically significant differences in the barrier factor scores by assessment frequency, assessment method, status of training in SSD, ability of SSD‐related knowledge to meet clinical needs and willingness to receive SSD training. Conclusion: Our study confirms that the current state of assessment of SSD in the ICU is unsatisfactory, with nurses' lack of assessment knowledge and skills, poor organization and management, and the complexity of patients' conditions being barriers. Implications for nursing management: Nursing managers should systematically conduct training programmes on effective SSD assessment knowledge and skills, incorporate SSD assessment into the daily workflow, have standardized assessment tools, develop standardized processes and assign dedicated staff to monitor, audit and provide feedback on SSD assessments. [ABSTRACT FROM AUTHOR]

Introduction: Delirium is an acute state of brain dysfunction prevalent among critically ill patients. Disturbances in the sympathetic neurons, including cholinergic neurons, have been reported to cause delirium by upsetting the balance of neurotransmitter synthesis, release, and inactivation. The cholinergic system mediates pupillary constriction as a response to light stimulation, and this reflex can be measured using automated infrared pupillometry (AIP). The relationship between delirium and AIP parameters has been examined. The Confusion Assessment Method for the Intensive Care Unit (CAM ICU) and the Intensive Care Unit Delirium Screening Checklist (ICDSC) are used for assessing delirium. However, that between the ICDSC score and AIP parameters remains unclear. Objective: To examine the relationship between AIP parameters and the various categories of delirium as defined by the ICDSC score (delirium, subsyndromal delirium, no delirium). Methods: This prospective observational study included patients aged ≥18 years admitted to the intensive care unit (ICU) from May 2018 to September 2018. ICU patients were classified into delirium, subsyndromal delirium, and no delirium groups according to the ICDSC score during ICU stay. The pupillary light reflex was assessed in both eyes immediately after admission using AIP with a portable infrared pupillometer. Logistic regression analyses were used to estimate the odds ratio to examine the relationship between the severity of delirium as assessed by the ICDSC score and the AIP parameters. Results: In total 133 patients were included in the study. Based on the ICDSC scores, 41.4% of patients had no delirium, 40.6% had subsyndromal delirium, and 18% had delirium. Dilation velocity (DV) measured by AIP was significantly different among the delirium, subsyndromal delirium, and no delirium groups. Post-hoc comparisons showed that DV was significantly slower in the delirium group than in the no delirium group but was not significantly different between the subsyndromal delirium and no delirium groups. After adjusting for patients' sex and age at enrollment, DV was shown to be independently associated with delirium. Conclusion: This study suggests that the use of AIP at ICU admission may improve the identification of patients at a high risk of developing delirium. [ABSTRACT FROM AUTHOR]

Objective: To systematically assess the prevalence and risk factors for subsyndromal delirium (SSD) in the intensive care unit., Design: A systematic reviewand meta-analysis., Methodology: This systematic review and meta-analysis was conducted in eight databases, including PubMed, Web of Science, Ovid,Scopus, China Knowledge Resource Integrated Database, Wanfang Database,Weipu Database and Chinese Biomedical Database. All original observational studies of subsyndromal delirium in the ICU were included, with languages limited to English and Chinese. The methodological quality was assessed by the Newcastle-Ottawa Scale and the Agency for Healthcare Research and Quality recommendation checklist. Meta-analysis was performed using Stata software (version 18.0)., Result: A total of 27 studies involving 7,286 participants were included in this review. The pooled prevalence of SSD was 32.4 % (95 %CI: 27.1 %-37.7 %).Fourteen studies reported 34 independent risk factors, and the following ten factors were significantly associated with SSD: older age, higher Acute Physiology and Chronic Health Evaluation II (APACHE II) score, lower Mini-mental Status Examination (MMSE) score, pain, mechanical ventilation, hypoproteinemia, blood transfusion, longer ICU stay, infection, and physical restraint., Conclusion: We conducted a systematic review and meta-analysis to evaluate the prevalence of SSD in the ICU and identified 10 risk factors associated with SSD. However, the studies have significant heterogeneity, future research should be conducted in multicenter with large samples to strengthen the current evidence., Implications for Clinical Practice: Subsyndromal delirium is a frequently occurring adverse event in the ICU, so it is recommended that clinicians and nurses incorporate the assessment of SSD into their daily routine. In this study, we also identified ten risk factors associated with SSD, and some of which could be modified or intervened. These findings provide a basis for ICU medical staff to identify patients at high risk of SSD and then implement individualized interventions to reduce the prevalence of SSD., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Background: Post-stroke delirium has a negative impact on functional outcome. We explored if there is any association between delirium, subsyndromal delirium and long-term mortality after ischaemic stroke and transient ischaemic attack. Methods: We included 564 patients with ischaemic stroke or transient ischaemic attack. We assessed symptoms of delirium during the first 7 days after admission. We used Cox proportional hazards models to analyse all-cause mortality during the first 5 years after stroke. Results: We diagnosed delirium in 23.4% and subsyndromal delirium in 10.3% of patients. During the follow-up, 72.7% of patients with delirium, 51.7% of patients with subsyndromal delirium and 22.7% of patients without delirious symptoms died (P < 0.001). Patients with subsyndromal delirium and delirium had higher risk of death in the multivariate analysis (HR 1.72, 95% CI 1.11–2.68, P = 0.016 and HR 3.30, 95% CI 2.29–4.76, P < 0.001, respectively). Conclusions: Post-stroke delirium is associated with long-term mortality. Patients with subsyndromal delirium are at the intermediate risk of death. [ABSTRACT FROM AUTHOR]

Subsyndromal delirium is a dynamic, recognizable condition commonly observed in intensive care unit (ICU) patients that can lead to poor patient prognosis, and its prompt recognition and management can prevent disease progression. However, no evidence-based predictive tool has been developed specifically to assess the occurrence of subsyndromal delirium in the ICU. To develop and validate a novel, simple and effective tool for estimating the risk of subsyndromal delirium among ICU patients. A prospective, nested case-controlled study. A total of 731 patients were recruited from the central ICU of a tertiary hospital in southwestern China from August 2021 to November 2022. The least absolute shrinkage and selection operator was applied to screen potential features for univariate and multivariate logistic regression. A nomogram was constructed using the selected variables. The performance of the nomogram was evaluated by combining the area under the receiver operating characteristic curve (AUC), calibration curves and decision curve analysis (DCA). The prevalence of subsyndromal delirium among ICU patients was 23.06 %. Multiple logistic regression analysis revealed that the independent predictive factors for subsyndromal delirium among ICU patients were vision impairment, a history of falls, the use of restraint, blood transfusion, the use of antibiotics, surgery, the Caprini score, and the Braden score, all of which were used to construct the nomogram. The AUCs for the model were 0.710 (95 % CI, 0.654–0.766, P < 0.001) and 0.825 (95 % CI, 0.732–0.917, P < 0.001) in the training and validation cohorts, respectively, indicating that the model had high accuracy in distinguishing patients with and without subsyndromal delirium. The calibration curve of the nomogram showed good consistency between the predicted and actual probabilities. The DCA indicated that the nomogram has clinical application for patients in the ICU. We developed an easy-to-use nomogram for identifying subsyndromal delirium in ICU patients with satisfactory predictive ability based on simple and easily accessible clinical features. The nomogram can identify ICU patients at high-risk for subsyndromal delirium and may be a useful subsyndromal delirium tool for current ICU physicians. [ABSTRACT FROM AUTHOR]

• The prevalence of subsyndromal delirium in order adults was about 36.4%. • Four significant risk factors were dementia, activities of daily living, hemoglobin, and age. • Subsyndromal delirium was associated with cognitive and functional decline, increased length of hospital stays, and a higher mortality rate. Subsyndromal delirium (SSD) refers to the presence of one or more delirium criteria without a diagnosis of delirium, and it is common in older patients. The prevalence, risk factors, and outcomes of SSD are explored herein. A systematic review and meta-analysis. PubMed, Web of Science, OVID, PsycINFO, CINAHL, Cochrane Library, CNKI, CBM, Chongqing VIP, and Wanfang databases were searched for studies published from inception to 2021, without language restrictions. Independent reviewers performed quality assessments, data extraction and analysis for all included studies. A total of 2,426 titles were initially identified, and 22 studies (5,125 individuals) were included in the systematic review. The prevalence of SSD in older adults was 36.4% (95%CI:0.28 to 0.44). Significant risk factors were dementia (OR 5.061, 95%CI:2.320 to 11.043), lower ADL scores (OR 1.706, 95%CI:1.149 to 2.533), lower hemoglobin (SMD -0.21, 95%CI: -0.333 to -0.096), and advanced age (SMD 0.358, 95% CI:0.194 to 0.522), and SSD was associated with poor outcomes, including cognitive and functional decline, increased length of hospital stay, and a higher mortality rate. SSD has a high prevalence and is associated with many risk factors and poor outcomes. Clinical oversight of patients with SSD should be increased. The systematic review was registered on the International Prospective Register of Systematic Review (CRD42021276070). Subsyndromal delirium has a high prevalence and an association with many risk factors and poor outcomes. [ABSTRACT FROM AUTHOR]

Introduction: Delirium is an acute state of brain dysfunction prevalent among critically ill patients. Disturbances in the sympathetic neurons, including cholinergic neurons, have been reported to cause delirium by upsetting the balance of neurotransmitter synthesis, release, and inactivation. The cholinergic system mediates pupillary constriction as a response to light stimulation, and this reflex can be measured using automated infrared pupillometry (AIP). The relationship between delirium and AIP parameters has been examined. The Confusion Assessment Method for the Intensive Care Unit (CAM ICU) and the Intensive Care Unit Delirium Screening Checklist (ICDSC) are used for assessing delirium. However, that between the ICDSC score and AIP parameters remains unclear. Objective: To examine the relationship between AIP parameters and the various categories of delirium as defined by the ICDSC score (delirium, subsyndromal delirium, no delirium). Methods: This prospective observational study included patients aged ≥18 years admitted to the intensive care unit (ICU) from May 2018 to September 2018. ICU patients were classified into delirium, subsyndromal delirium, and no delirium groups according to the ICDSC score during ICU stay. The pupillary light reflex was assessed in both eyes immediately after admission using AIP with a portable infrared pupillometer. Logistic regression analyses were used to estimate the odds ratio to examine the relationship between the severity of delirium as assessed by the ICDSC score and the AIP parameters. Results: In total 133 patients were included in the study. Based on the ICDSC scores, 41.4% of patients had no delirium, 40.6% had subsyndromal delirium, and 18% had delirium. Dilation velocity (DV) measured by AIP was significantly different among the delirium, subsyndromal delirium, and no delirium groups. Post-hoc comparisons showed that DV was significantly slower in the delirium group than in the no delirium group but was not significantly different between the subsyndromal delirium and no delirium groups. After adjusting for patients' sex and age at enrollment, DV was shown to be independently associated with delirium. Conclusion: This study suggests that the use of AIP at ICU admission may improve the identification of patients at a high risk of developing delirium. [ABSTRACT FROM AUTHOR]

Summary: Hip fracture patients often display an acute confusional state (delirium) which is associated with worse outcomes. In this observational study, we found that co-management of hip fracture patients by a multidisciplinary team including a geriatrician and an orthopaedic surgeon could reduce the incidence of delirium. Introduction: Delirium after hip fracture is common and is associated with negative outcomes. We investigated if orthogeriatric co-management reduced the incidence of delirium in hip fracture patients. Methods: In this single-centre, prospective observational study, we compared the incidence of delirium and subsyndromal delirium (SSD) before (usual care group, n = 94) and after (orthogeriatric group, n = 103) the introduction of orthogeriatric co-management as an integrated care model. The outcome measure 'no delirium/SSD/delirium' was treated as an ordinal variable and analysed using the chi-squared test and multivariable ordinal logistic regression. Results: The groups had similar baseline characteristics except for a higher proportion of patients with pre-existing cognitive impairment in the usual care group (51% vs. 37%, p = 0.045). Fewer patients in the orthogeriatric group developed SSD or delirium (no delirium: 59% vs. 40%/SSD: 6% vs. 13%/delirium: 35% vs. 47%; p = 0.021). The number needed to treat (NNT) to avoid one case of SSD or delirium was 5.3 (95% CI: 3.1 to 19.7). In a multivariable analysis adjusted for age, sex, ASA class, pre-existing cognitive impairment, time to surgery, type of surgery, and medical or surgical complications, the odds ratio for the development of SSD/delirium was lower in the orthogeriatric group (OR = 0.46, 95% CI: 0.23–0.89, p = 0.023). Conclusion: Orthogeriatric co-management as an integrated care model reduced the incidence of SSD/delirium in hip fracture patients. [ABSTRACT FROM AUTHOR]

Objectives: There is a knowledge gap on the prognostic significance of subsyndromes of delirium. We describe the association of poststroke attenuated delirium syndrome (ADS) with cognitive, functional, and mortality outcomes at 3 months. Methods: A longitudinal observational study in which repeated assessments for delirium symptoms were conducted in the first week of stroke using the confusion assessment method. Attenuated delirium syndrome was characterized in survivors who were free of the full delirium syndrome but had ≥2 core features of delirium. Baseline and follow-up assessments were conducted using the Mini-Mental State Examination (MMSE), 10-word list learning and delayed recall test, Animal naming test, and Barthel index. Results: Among 150 participants recruited consecutively over 2 years, ADS was present in 32 (21.3%). Of 121 who were free of the full delirium syndrome, 21 (17.4%) had died by 3 months. Those who survived were more likely to be receiving treatment for systemic hypertension (88.5%, P =.007). In analyses adjusting for the effect of age, economic status, and systemic hypertension, ADS in the first week of stroke predicted cognitive decline at 3 months ([mean difference (MD) in MMSE scores = −3.8, 95% CI = −7.0 to −0.7, P =.019]). However, ADS was not associated with greater decline in activities of daily life (MD = −0.4, 95% CI = −2.8 to 2.0) or significant odds ratio (OR) of mortality (OR = 2.3, 95% CI = 0.8-6.3). Conclusion: Attenuated delirium syndrome may be an important marker of cognitive impairment at 3 months poststroke. Its detection may lead to identification of stroke survivors who are likely to benefit from evidence-based preventive interventions for poststroke cognitive decline. [ABSTRACT FROM AUTHOR]

In patients admitted to hospital, preoperative mild cognitive impairment predicts postoperative complications. The effect of mild cognitive impairment on discharge readiness among the day stay surgery population is unknown. Our aims were to determine the incidence of impaired cognitive performance at discharge after day stay endoscopy and whether pre-existing mild cognitive impairment was associated with its development. A single-centre cohort study of elective day stay endoscopy patients was undertaken. Over a three-month period, data were collected from 69 patients aged 65 years and over. Patients were cognitively assessed on admission and discharge using the Montreal cognitive assessment tool and the three-minute diagnostic confusion assessment method. At baseline, patients who scored 1.5 or more standard deviations below age-adjusted levels on the Montreal cognitive assessment tool in conjunction with a subjective memory complaint were classified as having mild cognitive impairment. At discharge, patients were classified as having impaired cognitive performance if there was a reduction in the Montreal cognitive assessment tool score by at least two points. We also assessed delirium and subsyndromal delirium at discharge using the three-minute diagnostic confusion assessment method. We identified mild cognitive impairment in 23 patients (33.3%) on admission, and impaired performance on the Montreal cognitive assessment tool test at discharge in 35 (50.7%) patients. There was no association between mild cognitive impairment on admission and impaired cognitive performance at discharge (50.0% versus 51.1%, P = 0.94). This study demonstrates that evidence of impaired cognitive performance on the Montreal cognitive assessment tool testing is present after day stay endoscopy in over 50% of elderly patients, but this is not associated with preoperative cognitive status. [ABSTRACT FROM AUTHOR]

Aim: The aim of this study is to determine the prevalence and risk factors for subsyndromal delirium in the postoperative patient., Design: A systematic review and meta-analysis., Methods: The Review Manager 5.3 statistics platform and the Newcastle-Ottawa Scale were used for quality evaluation., Data Sources: The following databases were searched: PubMed, Web of Science, EMBASE, The Cochrane Library, Scopus and EBSCO from January 2000 to December 2021. Additional sources were found by looking at relevant articles' citations., Results: A total of 1744 titles were originally identified, and five studies including 962 patients were included in the systematic review, with a pooled prevalence of postoperative subsyndromal delirium (PSSD) of 30% (95% CI: 0.28-0.32). Significant risk variables for PSSD were older age, low levels of education (≤9 years), cognitive impairment, higher comorbidity score, and the duration of operation., Conclusion: PSSD is prevalent and is associated with a variety of risk factors as well as low academic performance., Impact: Identification and clinical management of patients with PSSD should be improved. Future research on PSSD risk factors should look at a wider range of intraoperative and postoperative risk factors that can be changed., Patient and Public Contribution: No Patient or Public Contribution., (© 2023 John Wiley & Sons Ltd.)

Abstract Background Subsyndromal delirium, a condition in which patients exhibit some, but not all, of the symptoms of delirium, can negatively affect the outcomes of patients with cancer. However, the incidence of subsyndromal delirium in patients with gastric cancer is unknown. Here, we investigated the incidence and risk factors of subsyndromal delirium after curative resection of gastric cancer. Methods We recruited consecutive patients with gastric cancer who were scheduled for curative resection at a tertiary hospital. Patients’ subsyndromal delirium symptoms were serially assessed preoperatively and 1, 2, 3, and 7 days postoperatively using the Delirium Rating Scale-Revised-98 (DRS-R-98). A DRS-R-98 score of 8–14 at any postoperative assessment was considered to indicate subsyndromal delirium. Sociodemographic and pre−/intra-operative clinical data were also assessed. Logistic regression analyses were used to determine the associated risk factors. Results Data were analysed from 163 out of 217 eligible patients. Postoperative delirium occurred in one patient (0.6%) and subsyndromal delirium occurred in 19 patients (11.7%). Age ≥ 70 years (odds ratio, [OR] 3.85; 95% confidence interval [CI], 1.36–10.92; p = 0.011) and education level ≤ 9 years (OR, 3.98; 95% CI, 1.39–11.41; p = 0.010) were independent risk factors of subsyndromal delirium after adjusting for preoperative cognitive function. Other pre−/intra-operative variables including anxiety/depression, poor sleep quality, and anaesthesia duration were not associated with subsyndromal delirium. Conclusions In contrast to the low incidence of delirium among patients undergoing curative resection of gastric cancer, a substantial proportion of such patients experienced subsyndromal delirium. Considering the prognostic implications, more careful detection and management of subsyndromal delirium may be warranted in patients with gastric cancer.

Abstract Background Delirium increases the risk of mortality during an acute hospital admission. Full syndromal delirium (FSD) is associated with greatest risk and subsyndromal delirium (SSD) is associated with intermediate risk, compared to patients with no delirium – suggesting a dose-response relationship. It is not clear how individual diagnostic symptoms of delirium influence the association with mortality. Our objectives were to measure the prevalence of FSD and SSD, and assess the effect that FSD, SSD and individual symptoms of delirium (from the Confusion Assessment Method-short version (s-CAM)) have on mortality rates. Methods Exploratory analysis of a prospective cohort (aged ≥70 years) with acute (unplanned) medical admission (4/6/2007–4/11/2007). The outcome was mortality (data censored 6/10/2011). The principal exposures were FSD and SSD compared to no delirium (as measured by the CAM), along with individual delirium symptoms on the CAM. Cox regression was used to estimate the impact FSD and SSD and individual CAM items had on mortality. Results The cohort (n = 610) mean age was 83 (SD 7); 59% were female. On admission, 11% had FSD and 33% had SSD. Of the key diagnostic symptoms for delirium, 17% acute onset, 19% inattention, 17% disorganised thinking and 17% altered level of consciousness. Unadjusted analysis found FSD had an increased hazard ratio (HR) of 2.31 (95% CI 1.71, 3.12), for SSD the HR was 1.26 (1.00, 1.59). Adjusted analysis remained significant for FSD (1.55 95% CI 1.10, 2.18) but nonsignificant for SSD (HR = 0.92 95% CI 0.70, 1.19). Two CAM items were significantly associated with mortality following adjustment: acute onset and disorganised thinking. Conclusion We observed a dose-response relationship between mortality and delirium, FSD had the greatest risk and SSD having intermediate risk. The CAM items “acute-onset” and “disorganised thinking” drove the associations observed. Clinically, this highlights the necessity of identifying individual symptoms of delirium.

To evaluate whether the Delirium Diagnostic Tool-Provisional (DDT-Pro), a 0–9 point scale with three items each representing symptoms from delirium's three core domains, differentiates subsyndromal delirium (SSD) from delirium and no delirium. We applied cluster analyses of DDT-Pro scores from 200 consecutive inpatients using three reference standards for delirium diagnosis to determine DDT-Pro cutoff values for delirium, SSD and no delirium groups. Clinical validators and DDT-Pro item scores were compared among groups. DDT-Pro SSD range was 6–7 (n = 54), with no delirium having higher scores (n = 98) and delirium lower (n = 48). Dementia prevalence in the SSD group (40.7%) was intermediate between no delirium (20.4%) and delirium (66.7%). SSD and delirium groups were more affected than no delirium regarding medical comorbidities, hospital stay (no delirium <1 week, SSD and delirium >1 week) and mortality (SSD = 7.4%, delirium = 18.8%, no delirium = 1%). Values for motor subtypes, frontal lobe signs, and DRS-R98 in the SSD group were intermediate between no delirium and delirium, as well as for the DDT-Pro items (all p < 0.05). All DDT-Pro items, which represent the three delirium core domains, are important for SSD diagnosis. Patients scoring in the SSD 6–7 range have significant clinical and prognostic features and deserve clinical attention. • To define a score range of the DDT-Pro for subsyndromal delirium (SSD) diagnosis • We used three reference standards, cluster analysis, and clinical validators • SSD was found to have DDT-Pro score of 6-7 vs 8-9 in no delirium and <6 in delirium • All three DDT-Pro items representing delirium core domains are relevant in SSD • Vulnerabilities and prognosis clinical validators are at intermediate levels in SSD [ABSTRACT FROM AUTHOR]

This study examined the effects of pain and opioid intakes on subsyndromal delirium in older adults who had joint replacement surgery. Delirium assessments of 53 older adults were completed on the first, second, and third days following joint replacement surgery using the Confusion Assessment Method (CAM). Statistical relationships were analyzed using correlations and multiple regressions. Subsyndromal delirium developed in 68% (n = 36) of participants. Pain was significantly related (p <.05) to increased delirium symptoms after accounting for preoperative risk factors of comorbidity, cognitive status, fall history, and preoperative fasting times, whereas opioid intake was not significantly associated with increased delirium symptoms. Findings suggest older adults with increased pain levels are at higher risk for subsyndromal delirium as well as delirium after joint replacement surgery. [ABSTRACT FROM AUTHOR]

Abstract Background Subsyndromal delirium (SSD) is a frequent condition and has been commonly described as an intermediate stage between delirium and normal cognition. However, the true frequency of SSD and its impact on clinically relevant outcomes in the intensive care unit (ICU) remains unclear. Methods We performed a systematic search in PubMed, Embase, CINAHL, Cochrane Library, and PsychINFO, with no language restrictions, up to 1 October 2016 to identify publications that evaluated SSD in ICU patients. Results The six eligible studies were evaluated. SSD was present in 950 (36%) patients. Four studies evaluated only surgical patients. Four studies used the Intensive Care Delirium Screening Checklist (ICDSC) and two used the Confusion Assessment Method (CAM) score to diagnose SSD. The meta-analysis showed an increased hospital length of stay (LOS) in SSD patients (0.31, 0.12–0.51, p = 0.002; I 2 = 34%). Hospital mortality was described in two studies but it was not significant (hazard ratio 0.97, 0.61–1.55, p = 0.90 and 5% vs 9%, p = 0.05). The use of antipsychotics in SSD patients to prevent delirium was evaluated in two studies but it did not modify ICU LOS (6.5 (4–8) vs 7 (4–9) days, p = 0.66 and 2 (2–3) vs 3 (2–3) days, p = 0.517) or mortality (9 (26.5%) vs 7 (20.6%), p = 0.55). Conclusions SSD occurs in one-third of the ICU patients and has limited impact on the outcomes. The current literature concerning SSD is composed of small-sample studies with methodological differences, impairing a clear conclusion about the association between SSD and progression to delirium or worse ICU clinical outcomes.

BackgroundPostoperative delirium (PD) and subsyndromal delirium (PSSD) are frequent complications in older patients associated with poor long-term outcome. It has been suggested that certain electroencephalogram features may be capable of identifying patients at risk during surgery. Thus, the goal of this study was to characterize intraoperative electroencephalographic markers to identify patients prone to develop PD or PSSD.MethodsWe conducted an exploratory observational study in older patients scheduled for elective major abdominal surgery. Intraoperative 16 channels electroencephalogram was recorded, and PD/PSSD were diagnosed after surgery with the confusion assessment method (CAM). The total power spectra and relative power of alpha band were calculated.ResultsPD was diagnosed in 2 patients (6.7%), and 11 patients (36.7%) developed PSSD. All of them (13 patients, PD/PSSD group) were compared with patients without any alterations in CAM (17 patients, control group). There were no detectable power spectrum differences before anesthesia between both groups of patients. However, PD/PSSD group in comparison with control group had a lower intraoperative absolute alpha power during anesthesia (4.4 ± 3.8 dB vs. 9.6 ± 3.2 dB, p = 0.0004) and a lower relative alpha power (0.09 ± 0.06 vs. 0.21 ± 0.08, p < 0.0001). These differences were independent of the anesthetic dose. Finally, relative alpha power had a good ability to identify patients with CAM alterations in the ROC analysis (area under the curve 0.90 (CI 0.78-1), p < 0.001).DiscussionIn conclusion, a low intraoperative alpha power is a novel electroencephalogram marker to identify patients who will develop alterations in CAM – i.e., with PD or PSSD – after surgery.

Background: Postoperative delirium (PD) and subsyndromal delirium (PSSD) are frequent complications in older patients associated with poor long-term outcome. It has been suggested that certain electroencephalogram features may be capable of identifying patients at risk during surgery. Thus, the goal of this study was to characterize intraoperative electroencephalographic markers to identify patients prone to develop PD or PSSD. Methods: We conducted an exploratory observational study in older patients scheduled for elective major abdominal surgery. Intraoperative 16 channels electroencephalogram was recorded, and PD/PSSD were diagnosed after surgery with the confusion assessment method (CAM). The total power spectra and relative power of alpha band were calculated. Results: PD was diagnosed in 2 patients (6.7%), and 11 patients (36.7%) developed PSSD. All of them (13 patients, PD/PSSD group) were compared with patients without any alterations in CAM (17 patients, control group). There were no detectable power spectrum differences before anesthesia between both groups of patients. However, PD/PSSD group in comparison with control group had a lower intraoperative absolute alpha power during anesthesia (4.4 ± 3.8 dB vs. 9.6 ± 3.2 dB, p = 0.0004) and a lower relative alpha power (0.09 ± 0.06 vs. 0.21 ± 0.08, p < 0.0001). These differences were independent of the anesthetic dose. Finally, relative alpha power had a good ability to identify patients with CAM alterations in the ROC analysis (area under the curve 0.90 (CI 0.78-1), p < 0.001). Discussion: In conclusion, a low intraoperative alpha power is a novel electroencephalogram marker to identify patients who will develop alterations in CAM – i.e., with PD or PSSD – after surgery. [ABSTRACT FROM AUTHOR]

Background and purpose: Subsyndromal delirium (SSD) refers to patients with delirious symptoms who do not meet the criteria for delirium. The aim was to determine the prognostic significance of SSD in stroke patients. Methods: In all, 564 patients with ischaemic stroke (median age 71 years, 50.5% female) were included. The Confusion Assessment Method was used to assess symptoms of delirium and the Diagnostic and Statistical Manual of Mental Disorders, 5th edn, criteria were used to diagnose delirium. SSD was defined as one or more core features of delirium without fulfilling diagnostic criteria. Functional outcome was assessed using the modified Rankin Scale at 3 and 12 months after stroke. Results: Delirium was diagnosed in 23.4% of patients and SSD in 10.3% of patients. SSD was associated with increased risk of poor functional outcome. The adjusted odds ratios (ORs) for unfavourable outcome at 3 and 12 months were 2.88 [95% confidence interval (CI) 1.43–5.79, P < 0.01] and 2.93 (95% CI 1.39–6.22, P < 0.01), respectively. In multivariate analysis, delirium was an independent predictor of poor functional outcome at 3 months (OR 6.41, 95% CI 3.36–12.21, P < 0.01) and 12 months (OR 6.11, 95% CI 3.05–12.27, P < 0.01) after stroke. Delirium was also independently associated with increased risk of death within 3 months (hazard ratio 3.68, 95% CI 1.69–8.02, P < 0.01) and 12 months (hazard ratio 3.76, 95% CI 2.05–6.90, P < 0.01). SSD was not associated with increased risk of death. Conclusions: In SSD patients the risk of poor functional outcome after stroke is increased and intermediate between patients with and patients without delirium. [ABSTRACT FROM AUTHOR]

Aim: To study the prevalence and risk factors of delirium and subsyndromal delirium (SSD) in Chinese older adults with acute medical illnesses. Methods: A prospective cohort study was carried out in acute general medical wards in a university‐affiliated hospital in Hong Kong. Patients were assessed by the confusion assessment method by geriatricians within 6 h after admission and classified into three mutually exclusive groups, namely delirium, SSD and those without both conditions. Predisposing factors and precipitating factors of delirium and SSD were retrieved from collateral information, clinical charts and electronic clinical records. Results: A total of 575 patients with mean age of 80.8 years were recruited. A total of 73% of the patients did not have delirium, 15.8% of patients had delirium and 11.3% of patients had SSD. On multivariate analysis, patients with delirium or SSD were more likely to be current users of psychotropic medications, had hearing and visual impairment, had a major neurocognitive disorder as defined by the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders, and with a lower Barthel Index 20 points version than those without both conditions. Significant predisposing and precipitating factors of delirium included psychotropic medications, acute stroke and other causes of organic brain syndromes. Predisposing and precipitating factors of delirium and SSD were almost identical. Conclusions: Delirium and SSD are common among Chinese older adults with acute medical illnesses, with a combined prevalence of delirium and SSD of 27%. Important precipitating and predisposing factors include psychotropic medications, acute ischemic stroke and other causes of organic brain syndromes. Geriatr Gerontol Int 2018; 18: 1625–1628. [ABSTRACT FROM AUTHOR]

Background and Objective: The characteristics and outcomes of patients with subsyndromal delirium (SSD) at hospitalization are still under discussion. The objectives were to describe the incidence of delirium and SSD in the intensive care unit (ICU), to analyze the association with risk factors and to explore outcomes of delirium and SSD at hospitalization and three months after discharge., Patients and Methods: A prospective study, with telephone follow-up three months after discharge. The study included 270 patients over one year. Delirium and SSD were assessed with the CAM-ICU., Results: 22.96% developed delirium and 17.03% SSD. The main risk factors associated with the development of delirium were cognitive impairment (P=.000), age ≥75years (P=.019), neurological admission (P=.003), shock (P=.043), bedsores (P=.010), polypharmacy (P=.017), ARM (P=.001) and fast (P=.028), and with the development of SSD were low schooling (P=.014), Charlson >5 (P=.028), AIVD <8 (P=.001), enteral feeding (P=.000) and non-cardiovascular admission (P=.019). Overall mortality was 6% in the group without delirium (reference), 8% in SSD (P=.516) and 30% in delirium (P=.000). Median ICU length of stay was 2 (IQR, 1-2) days in the group without delirium, 3 (IQR, 2-4) days in SSD (P=.0001), and 3 (IQR, 2-7) days in delirium group (P=.0001). Three months after discharge, instrumental ADL were preserved in 50% of the group without delirium, 30% of SSD (P=.026) and 26% of delirium (P=.005)., Conclusions: The SSD group presented an intermediate prognosis between no delirium and delirium groups. It is advisable to promote its diagnosis for better risk classification., (Copyright © 2023 Elsevier España, S.L.U. All rights reserved.)

Background: Subsyndromal delirium, a condition in which patients exhibit some, but not all, of the symptoms of delirium, can negatively affect the outcomes of patients with cancer. However, the incidence of subsyndromal delirium in patients with gastric cancer is unknown. Here, we investigated the incidence and risk factors of subsyndromal delirium after curative resection of gastric cancer.Methods: We recruited consecutive patients with gastric cancer who were scheduled for curative resection at a tertiary hospital. Patients' subsyndromal delirium symptoms were serially assessed preoperatively and 1, 2, 3, and 7 days postoperatively using the Delirium Rating Scale-Revised-98 (DRS-R-98). A DRS-R-98 score of 8-14 at any postoperative assessment was considered to indicate subsyndromal delirium. Sociodemographic and pre-/intra-operative clinical data were also assessed. Logistic regression analyses were used to determine the associated risk factors.Results: Data were analysed from 163 out of 217 eligible patients. Postoperative delirium occurred in one patient (0.6%) and subsyndromal delirium occurred in 19 patients (11.7%). Age ≥ 70 years (odds ratio, [OR] 3.85; 95% confidence interval [CI], 1.36-10.92; p = 0.011) and education level ≤ 9 years (OR, 3.98; 95% CI, 1.39-11.41; p = 0.010) were independent risk factors of subsyndromal delirium after adjusting for preoperative cognitive function. Other pre-/intra-operative variables including anxiety/depression, poor sleep quality, and anaesthesia duration were not associated with subsyndromal delirium.Conclusions: In contrast to the low incidence of delirium among patients undergoing curative resection of gastric cancer, a substantial proportion of such patients experienced subsyndromal delirium. Considering the prognostic implications, more careful detection and management of subsyndromal delirium may be warranted in patients with gastric cancer. [ABSTRACT FROM AUTHOR]

Background In cardiac surgical patients little is known about different phenotypes of delirium and how the symptoms fluctuate over time. Objectives Evaluate risk factors, incidence, fluctuations, phenotypic characteristics and impact on patients' outcomes of delirium. Methods Prospective longitudinal study. In postoperative intensive care unit 199 patient were assessed three-times a day through an adapted versions of the Intensive Care Delirium Screening Checklist. Results Delirium and subsyndromal delirium incidence were 30.7% and 31.2%, respectively. Delirium manifested mostly in the hypoactive form and showed a fluctuating trend for several days. Atrial fibrillation, benzodiazepine/opioids dosages, hearing impairment, extracorporeal circulation length, SAPS-II and mean arterial pressure were independent predictors for delirium. Delirium was a statistically significant predictor of chemical/physical restraint use and hospital length of stay. Conclusions Given the fluctuating and phenotypic characteristics, delirium screening should be a systematic/intentional activity. Multidisciplinary prevention strategies should be implemented to identify and treat the modifiable risk factors. [ABSTRACT FROM AUTHOR]

Delirium is the most common and serious neurobehavioral complication in acute hospital admissions. Some patients develop signs of delirium but do not meet all diagnostic criteria. Stroke is a major risk factor for delirium. The aim of this prospective study was to build a predictive model for delirium and subsyndromal post-stroke delirium. Patients with stroke were screened for delirium during the first 7 days after admission. Delirium was diagnosed according to DSM-V criteria. Baseline demographic, biochemical, stroke-related data, medications used, neurological deficit, and premorbid cognitive and functional impairment were assessed. 750 consecutive stroke patients (71.75 ± 13.13 years) were recruited; 203 (27.07%) had delirium. In predictive model for delirium MoCA score and white blood count on admission, neglect, vision deficits, physical impairment, and higher comorbidity prior to stroke had the highest predictive value. Subsyndromal delirium was diagnosed in 60 patients. MoCA score and potassium level on admission, and urinary tract infection during hospitalization had the highest predictive value for its development. Delirium occurs in one-fourth of admissions due to stroke; subsyndromal delirium is less prevalent and affects less than one per ten patients. The hyperactive form is the most rare type of delirium. The factors best predicting delirium are easily assessed in everyday practice and their co-occurrence in patients with stroke should alert the treating physician of high risk of delirium. [ABSTRACT FROM AUTHOR]

Background: Delirium increases the risk of mortality during an acute hospital admission. Full syndromal delirium (FSD) is associated with greatest risk and subsyndromal delirium (SSD) is associated with intermediate risk, compared to patients with no delirium - suggesting a dose-response relationship. It is not clear how individual diagnostic symptoms of delirium influence the association with mortality. Our objectives were to measure the prevalence of FSD and SSD, and assess the effect that FSD, SSD and individual symptoms of delirium (from the Confusion Assessment Method-short version (s-CAM)) have on mortality rates.Methods: Exploratory analysis of a prospective cohort (aged ≥70 years) with acute (unplanned) medical admission (4/6/2007-4/11/2007). The outcome was mortality (data censored 6/10/2011). The principal exposures were FSD and SSD compared to no delirium (as measured by the CAM), along with individual delirium symptoms on the CAM. Cox regression was used to estimate the impact FSD and SSD and individual CAM items had on mortality.Results: The cohort (n = 610) mean age was 83 (SD 7); 59% were female. On admission, 11% had FSD and 33% had SSD. Of the key diagnostic symptoms for delirium, 17% acute onset, 19% inattention, 17% disorganised thinking and 17% altered level of consciousness. Unadjusted analysis found FSD had an increased hazard ratio (HR) of 2.31 (95% CI 1.71, 3.12), for SSD the HR was 1.26 (1.00, 1.59). Adjusted analysis remained significant for FSD (1.55 95% CI 1.10, 2.18) but nonsignificant for SSD (HR = 0.92 95% CI 0.70, 1.19). Two CAM items were significantly associated with mortality following adjustment: acute onset and disorganised thinking.Conclusion: We observed a dose-response relationship between mortality and delirium, FSD had the greatest risk and SSD having intermediate risk. The CAM items "acute-onset" and "disorganised thinking" drove the associations observed. Clinically, this highlights the necessity of identifying individual symptoms of delirium. [ABSTRACT FROM AUTHOR]

Background: Subsyndromal delirium (SSD) is a frequent condition and has been commonly described as an intermediate stage between delirium and normal cognition. However, the true frequency of SSD and its impact on clinically relevant outcomes in the intensive care unit (ICU) remains unclear.Methods: We performed a systematic search in PubMed, Embase, CINAHL, Cochrane Library, and PsychINFO, with no language restrictions, up to 1 October 2016 to identify publications that evaluated SSD in ICU patients.Results: The six eligible studies were evaluated. SSD was present in 950 (36%) patients. Four studies evaluated only surgical patients. Four studies used the Intensive Care Delirium Screening Checklist (ICDSC) and two used the Confusion Assessment Method (CAM) score to diagnose SSD. The meta-analysis showed an increased hospital length of stay (LOS) in SSD patients (0.31, 0.12-0.51, p = 0.002; I 2 = 34%). Hospital mortality was described in two studies but it was not significant (hazard ratio 0.97, 0.61-1.55, p = 0.90 and 5% vs 9%, p = 0.05). The use of antipsychotics in SSD patients to prevent delirium was evaluated in two studies but it did not modify ICU LOS (6.5 (4-8) vs 7 (4-9) days, p = 0.66 and 2 (2-3) vs 3 (2-3) days, p = 0.517) or mortality (9 (26.5%) vs 7 (20.6%), p = 0.55).Conclusions: SSD occurs in one-third of the ICU patients and has limited impact on the outcomes. The current literature concerning SSD is composed of small-sample studies with methodological differences, impairing a clear conclusion about the association between SSD and progression to delirium or worse ICU clinical outcomes. [ABSTRACT FROM AUTHOR]

Objective: To investigate the incidence and influencing factors of postoperative delirium (POD) and subsyndromal delirium (SSD) in patients connected to cardiopulmonary bypass during cardiovascular surgeries., Methods: We collected the general data and the data for the perioperative hematological, physiological, and biochemical indicators and the surgical and therapeutic conditions of patients connected to cardiopulmonary bypass during the course of cardiovascular surgeries conducted at a tertiary-care hospital in Hubei province between May 2022 and September 2022. The outcome indicators, including the incidence of POD and SSD, were assessed with the Nursing Delirium Screening Scale (Nu-DESC). Multinomial logistic regression was performed to analyze the influencing factors of patients with different statuses of POD and SSD., Results: Among the 202 patients, the incidence of SSD, SSD progressing to POD, and no POD or SSD (ND) progressing to POD were 13.4%, 6.4%, and 34.2%, respectively. Regression analysis showed that, with ND patients as the controls, the influencing factors for SSD were preoperative blood glucose (odds ratio [ OR ]=0.38, 95% confidence interval [ CI ]: 0.19-0.76), intraoperative platelet transfusion ( OR =0.37, 95% CI : 0.15-0.92), intraoperative etomidate ( OR =0.93, 95% CI : 0.87-0.98), and postoperative total bilirubin level ( OR =1.04, 95% CI : 1.01-1.07). For the progression of SSD to POD, the influencing factors were age ( OR =1.09, 95% CI : 1.01-1.17), ASA classification of IV and above ( OR =10.72, 95% CI : 1.85-62.08), intraoperative dexmedetomidine ( OR =1.01, 95% CI : 1.003-1.02), and the duration of mechanical ventilation ( OR =1.04, 95% CI : 1.01-1.07). For the progression of ND to POD, the influencing factors were age ( OR =1.06, 95% CI : 1.02-1.10), middle or high school education ( OR =0.35, 95% CI : 0.15-0.83), and the duration of mechanical ventilation ( OR =1.04, 95% CI : 1.01-1.07)., Conclusion: Age, education, ASA classification, preoperative blood glucose, intraoperative platelet transfusion, intraoperative etomidate, intraoperative dexmedetomidine, postoperative total bilirubin, and the duration of mechanical ventilation are influencing factors for different statuses of POD and SSD among patients connected to cardiopulmonary bypass when they are undergoing cardiovascular surgeries. The influencing factors vary across groups of patients with different statuses of POD and SSD. Therefore, we should accurately assess the risk factors of patients with different statuses of POD and SSD and carry out corresponding interventions, thereby preventing or reducing the occurrence of POD and SSD, and ultimately promoting enhanced recovery after surgery., (Copyright© by Editorial Board of Journal of Sichuan University (Medical Sciences).)

Objectives: To determine the frequencies of full, partial and no recovery from subsyndromal delirium (SSD) in older hospital inpatients. A secondary objective was to compare the recovery status of patients with SSD or delirium.Methods: SSD was defined as acute onset of one or more Confusion Assessment Method core symptoms of delirium (fluctuation, inattention, disorganized thinking and altered level of consciousness) not meeting criteria for delirium and not progressing to delirium. The recovery status of medical or surgical inpatients aged 65 and older with SSD was assessed approximately 1 and 3 months after enrolment. Primary outcome categories were full recovery (no core symptoms of delirium), partial recovery (presence of one or more core symptoms but fewer symptoms than at enrolment), no recovery (same number of core symptoms as at enrolment) or death. Nominal logistic regression was used to compare the recovery status of patients with SSD or delirium.Results: Twenty-eight patients with SSD were enrolled. At the first follow-up, the frequencies of full, partial and no recovery and death were 40%, 12%, 32% and 16%, respectively; at the second follow-up, the frequencies were 54%, 8%, 21% and 17%, respectively. The frequency of full recovery was much higher in patients with SSD than delirium.Conclusion: Small study sample size notwithstanding, the majority (54%) of patients with SSD recovered fully, but a substantial proportion (29%) had a protracted course. It may be important to monitor the longer-term course of SSD and develop strategies to ensure full recovery in all patients. [ABSTRACT FROM AUTHOR]