Adherence to lung protective mechanical ventilation in patients admitted to a surgical intensive care unit and the associated increased mortality.

Background: The adherence rate to the lung protective ventilation (LPV) strategy, which is generally accepted as a standard practice in mechanically ventilated patients, reported in the literature is approximately 40%. This study aimed to determine the adherence rate to the LPV strategy, factors associated with this adherence, and related clinical outcomes in mechanically ventilated patients admitted to the surgical intensive care unit (SICU). Methods: This prospective observational study was conducted in the SICU of a tertiary university-based hospital between April 2018 and February 2019. Three hundred and six adult patients admitted to the SICU who required mechanical ventilation support for more than 12 h were included. Ventilator parameters at the initiation of mechanical ventilation support in the SICU were recorded. The LPV strategy was defined as ventilation with a tidal volume of equal or less than 8 ml/kg of predicted body weight plus positive end-expiratory pressure of at least 5 cm H2O. Demographic and clinical data were recorded and analyzed. Results: There were 306 patients included in this study. The adherence rate to the LPV strategy was 36.9%. Height was the only factor associated with adherence to the LPV strategy (odds ratio for each cm, 1.10; 95% confidence interval (CI), 1.06-1.15). Cox regression analysis showed that the LPV strategy was associated with increased 90-day mortality (hazard ratio, 1.73; 95% CI, 1.02-2.94). Conclusion: The adherence rate to the LPV strategy among patients admitted to the SICU was modest. Further studies are warranted to explore whether the application of the LPV strategy is simply a marker of disease severity or a causative factor for increased mortality.

The association between sarcopenia, defined by a simplified screening tool, and long-term outcomes.

BACKGROUND: Sarcopenia and frailty are frequently observed in older adult patients and linked to unfavorable postoperative outcomes. Identifying low muscle mass and function is primary for diagnosing sarcopenia. The simpler screening, which excludes muscle mass measurement, exhibited strong predictive capabilities in identifying sarcopenia. This research explored the association between sarcopenia, as defined by the C3 formula, and long-term outcomes in older adult cancer patients who underwent surgery. METHODS: Surgical cancer patients aged 60 and older were enrolled. Sarcopenia was identified using the C3 formula, assessing muscle strength through handgrip strength, physical performance via a 6-m walk test, and nutrition status via the Mini Nutritional Assessment-Short Form. Long-term outcomes were evaluated with the Barthel Index for activities of daily living (B-ADL) at 3 months, as well as 1-year mortality rates. RESULTS: The study enrolled 251 patients, with 130 classified as sarcopenic according to the C3 formula. Compared with nonsarcopenic patients, patients with sarcopenia exhibited a higher frequency of moderate to severe disability (B-ADL ≤70) 3 months postdischarge (19.5% vs 5.2%; P = 0.001) and elevated 1-year mortality rates (29.5% vs 14.9%; P = 0.006). No significant differences were observed in infection rates, hospital stay duration, or in-hospital mortality. Distant organ metastasis (HR = 3.99; 95% CI = 2.25-7.07) and sarcopenia defined by the C3 formula (HR = 1.78; 95% CI = 1.01-3.15) were identified as independent risk factors for 1-year mortality. CONCLUSION: The simplified sarcopenia screening tool was associated with increased rates of moderate to severe disability 3 months postdischarge and higher 1-year mortality rates compared with nonsarcopenic patients.

Long-term outcomes of delirium in critically ill surgical patients: A multicenter prospective cohort study.

OBJECTIVE: To identify the mortality rates and dependency rate (functional outcomes) of delirious patients at 12-months after surgical intensive care unit (SICU) admission and to determine the independent risk factors of 12-months mortality and dependency rate in a cohort of SICU patients. METHODS: A prospective, multi-center study was conducted in 3 university-based hospitals. Critically-ill surgical patients who were admitted to SICU and followed-up at 12-months after ICU admission were enrolled. RESULTS: A total of 630 eligible patients were recruited. 170 patients (27%) had postoperative delirium (POD). The overall 12-months mortality rate in this cohort was 25.2%. Delirium group showed significantly higher mortality rates than non-delirium group at 12-months after ICU admission (44.1% vs 18.3%, P < 0.001). Independent risk factors of 12-months mortality were age, diabetes mellitus, preoperative dementia, high Sequential Organ Failure Assessment (SOFA) score and POD. POD was associated with 12-months mortality (adjusted hazard ratio, 1.49; 95% confidence interval 1.04-2.15; P = 0.032). The dependency rate defined as the Basic Activities Daily Living (B-ADL) ≤70 was 52%. Independent risk factors of B-ADL were age ≥ 75 years, cardiac disease, preoperative dementia, intraoperative hypotension, on mechanical ventilator and POD. POD was associated with dependency rate at 12-months. (adjusted risk ratio, 1.26; 95%CI 1.04-1.53; P = 0.018). CONCLUSIONS: Postoperative delirium was an independent risk factor of death and was also associated with dependent state at 12 months after a surgical intensive care unit admission in critically ill surgical patients.

Performance of a simplified nutrition screening tool for outpatient radiotherapy cancer patients.

Public hospitals in Thailand recently adopted a new nutrition screening tool to satisfy documentation requirements for reimbursements through the diagnosis-related group system. However, data on the performance of this instrument remains limited. This study was designed to assess the validity and cutoff points of the Society of Parenteral and Enteral Nutrition of Thailand (SPENT) nutrition screening tool against the patient-generated subjective global assessment (PG-SGA) and malnutrition diagnostic criteria proposed by the global leadership initiative on malnutrition (GLIM) in cancer patients receiving outpatient radiation therapy. A cross-sectional study of 350 patients was conducted from August 2018 to September 2020. All patients were screened for malnutrition using the SPENT nutrition screening tool. The instrument's sensitivity, specificity, positive predictive value, negative predictive value, and agreement were calculated using either the PG-SGA or GLIM malnutrition diagnosis as benchmarks. The cutoff that gave the highest sensitivity and specificity of the SPENT nutrition screening tool was selected. The mean age standard deviation of the 350 cancer patients was 59.9 (13.9) years, and 191 (54.6%) were men. Head and neck cancers were the most common type (35.7%). Against PG-SGA and GLIM malnutrition diagnosis, the SPENT nutrition screening tool demonstrated good sensitivity (85.3% and 82.8%), specificity (84.1% and 59.4%), positive predictive value (90.5% and 64.0%), negative predictive value (76.3% and 79.9%), with moderate strength of agreement (Cohen kappa 0.678, P < .001 and 0.414, P < .001). Using only the first 2 out of 4 questions revealed an acceptable sensitivity and specificity. The SPENT nutrition screening tool is an accurate, sensitive, and specific tool for malnutrition screening in cancer patients receiving outpatient radiotherapy.

Multimorbidity, healthcare utilization, and quality of life for older patients undergoing surgery: A prospective study.

Multimorbidity (≥2 chronic illnesses) is a worldwide healthcare challenge. Patients with multimorbidity have a reduced quality of life and higher mortality than healthy patients and use healthcare resources more intensively. This study investigated the prevalence of multimorbidity; examined the effects of multimorbidity on healthcare utilization; healthcare costs of multimorbidity; and compared the associations between the health-related quality of life (HRQoL) of older patients undergoing surgery and multimorbidity, the Charlson Comorbidity Index (CCI), the Simple Frailty Questionnaire (FRAIL), and the American Society of Anesthesiologists (ASA) physical status classifications. This prospective cohort study enrolled 360 patients aged > 65 years scheduled for surgery at a university hospital. Data were collected on their demographics, preoperative medical profiles, healthcare costs, and healthcare utilization (the quantification or description of the use of services, such as the number of preoperative visits, multiple-department consultations, surgery waiting time, and hospital length of stay). Preoperative-assessment data were collected via the CCI, FRAIL questionnaire, and ASA classification. HRQoL was derived using the EQ-5D-5L questionnaire. The 360 patients had a mean age of 73.9 ± 6.6 years, and 37.8% were men. Multimorbidity was found in 285 (79%) patients. The presence of multimorbidity had a significant effect on healthcare utilization (≥2 preoperative visits and consultations with ≥2 departments). However, there was no significant difference in healthcare costs between patients with and without multimorbidity. At the 3-month postoperative, patients without multimorbidity had significantly higher scores for HRQoL compared to those with multimorbidity (HRQoL = 1.00 vs 0.96; P < .007). While, patients with ASA Class > 2 had a significantly lower median HRQoL than patients with ASA Class ≤2 at postoperative day 5 (HRQoL = 0.76; P = .018), 1-month (HRQoL = 0.90; P = .001), and 3-months (HRQoL = 0.96; P < .001) postoperatively. Multimorbidity was associated with a significant increase in the healthcare utilization of the number of preoperative visits and a greater need for multiple-department consultations. In addition, multimorbidity resulted in a reduced HRQoL during hospital admission and 3-months postoperatively. In particular, the ASA classification > 2 apparently reduced postoperative HRQoL at day 5, 1-month, and 3-months lower than the ASA classification ≤2.

Model for enhancing the research conducted by the university medical staff: Participatory action research.

This study employed mixed methods with a participatory action research approach to explore factors currently undermining the conduction of research and to develop strategies to boost research productivity. A questionnaire was distributed to 64 staff members of the Department of Anesthesiology at a university-based hospital. Thirty-nine staff members (60.9%) gave informed consent and responses. Staff views were also collected through focus group discussions. The staff reported that limited research methodology skills, time management, and complex managerial processes were the limitations. Age, attitudes, and performance expectancy were significantly correlated with research productivity. A regression analysis demonstrated that age and performance expectancy significantly influenced research productivity. A Business Model Canvas (BMC) was implemented to gain insight into the goal of enhancing the conduct of research. Business Model Innovation (BMI) established a strategy to improve research productivity. The concept, comprising personal reinforcement (P), aiding systems (A), and a lifting-up of the value of research (L), the PAL concept, was considered key to enhancing the conduct of research, with the BMC providing details and integrating with the BMI. To upgrade the research performance, the involvement of management is imperative, and future action will involve the implementation of a BMI model to increase research productivity.

Validation of a delirium predictive model in patients admitted to surgical intensive care units: a multicentre prospective observational cohort study.

OBJECTIVE: To internally and externally validate a delirium predictive model for adult patients admitted to intensive care units (ICUs) following surgery. DESIGN: A prospective, observational, multicentre study. SETTING: Three university-affiliated teaching hospitals in Thailand. PARTICIPANTS: Adults aged over 18 years were enrolled if they were admitted to a surgical ICU (SICU) and had the surgery within 7 days before SICU admission. MAIN OUTCOME MEASURES: Postoperative delirium was assessed using the Thai version of the Confusion Assessment Method for the ICU. The assessments commenced on the first day after the patient's operation and continued for 7 days, or until either discharge from the ICU or the death of the patient. Validation was performed of the previously developed delirium predictive model: age+(5×SOFA)+(15×benzodiazepine use)+(20×DM)+(20×mechanical ventilation)+(20×modified IQCODE>3.42). RESULTS: In all, 380 SICU patients were recruited. Internal validation on 150 patients with the mean age of 75±7.5 years resulted in an area under a receiver operating characteristic curve (AUROC) of 0.76 (0.683 to 0.837). External validation on 230 patients with the mean age of 57±17.3 years resulted in an AUROC of 0.85 (0.789 to 0.906). The AUROC of all validation cohorts was 0.83 (0.785 to 0.872). The optimum cut-off value to discriminate between a high and low probability of postoperative delirium in SICU patients was 115. This cut-off offered the highest value for Youden's index (0.50), the best AUROC, and the optimum values for sensitivity (78.9%) and specificity (70.9%). CONCLUSIONS: The model developed by the previous study was able to predict the occurrence of postoperative delirium in critically ill surgical patients admitted to SICUs. TRIAL REGISTRATION NUMBER: Thai Clinical Trail Registry (TCTR20180105001).

The impact of physical medicine and rehabilitation consultation on clinical outcomes in the surgical intensive care unit: A prospective observational cohort study.

ABSTRACT: The impact of a physical medicine and rehabilitation (PM&R) consultation on clinical outcomes in critically ill surgical patients remains unclear. The aim of this study is to examine whether the patients who received PM&R consultation will demonstrate better clinical outcomes in terms of the differences in clinical outcomes including muscle mass and strength, intensive care unit (ICU) length of stay (LOS) and functional outcomes between the PM&R consultation and no PM&R consultation and between early PM&R consultation and late PM&R consultation in critically ill surgical patients.A prospective observational cohort study was undergone in 65-year-old or older patients who were admitted > 24 hours in the surgical intensive care unit (SICU) in a tertiary care hospital. Data collection included patients' characteristic, muscle mass and muscle strength, and clinical outcomes.Ninety surgical patients were enrolled and PM&R was consulted in 37 patients (36.7%). There was no significant difference in muscle mass and function between consulted and no consulted groups. PM&R consulted group showed worse in clinical outcomes including functional outcomes at hospital discharge, longer duration of mechanical ventilation, ICU, and hospital LOS as compared with no PM&R consulted group. The median time of rehabilitation consultation was 6 days and there were no significant differences in clinical outcomes between early (≤ 6 days) and late (> 6 days) consultation.PM&R consultation did not improve muscle mass, functional outcomes at hospital discharge, and ICU LOS in critically ill surgical patients. The key to success might include the PM&R consultation with both intensified physical therapy and early start of mobilization or the rigid mobilization protocol.

Psychometric properties of a Thai version of the Richards-Campbell sleep questionnaire.

BACKGROUND: In critically ill patients, a poor sleep quality can escalate mortality and the length of hospital stays. Albeit being the gold standard for sleep assessment, polysomnography (PSG) is expensive and complicated. The Richards-Campbell sleep questionnaire (RCSQ) is another tool with proof of good correlation with PSG. RCSQ was translated into many languages. However, the Thai version (T-RCSQ) has not been developed. AIMS AND OBJECTIVES: Our study aimed to translate the original RCSQ into Thai, to test the content validity and reliability, and to introduce the questionnaire into clinical practice at the surgical intensive care unit (SICU). DESIGN: Prospective cross-sectional study METHODS: This study enrolled 92 patients from the SICU between August 2019 and January 2020. The content validity of T-RCSQ was determined by the index of item-objective congruence (IOC). The reliability was tested by test-retest reliability at 7 am and 9 am after intensive care unit (ICU) admission. The internal consistency was expressed by Cronbach's alpha. Patients' demography was reported as percentage, mean and standard deviation, and median and interquartile range. RESULTS: The content validity and test-retest reliability of the T-RCSQ were 0.8 and 0.97, respectively. The internal consistency was 0.964. Most patients were female with American Society of Anesthesiologist physical status III. The mean RCSQ scores at 7 am and 9 am were 5.82 ± 2.15 cm and 5.61 ± 2.18 cm, respectively. CONCLUSIONS: The T-RCSQ is reliable and could be used as an alternative to PSG for sleep assessment of ICU patients. Further research is required to validate the T-RCSQ against PSG and to assess its impact on improving sleep quality and patients' clinical outcomes. RELEVANCE TO CLINICAL PRACTICE: T-RCSQ is a useful tool for sleep assessment in ICU. According to cost-effectiveness, convenience, and good reliability, it could be applied to determine proper sleep to minimize patient morbidity and mortality.

The association between sarcopenia and functional outcomes after hospital discharge among critically ill surgical patients.

BACKGROUND: To determine the association between sarcopenia in surgical intensive care unit (SICU) patients and long-term functional outcomes. METHOD: This prospective, cohort study enrolled patients aged >65 years admitted to SICUs at the tertiary care hospital. Their muscle mass and strength were measured by bioelectrical impedance vector analysis (BIVA) and handgrip-strength or manual-muscle-strength tests. The functional outcomes were evaluated with the Thai version of the Barthel index for activities of daily living (ADL). RESULTS: 120 patients were enrolled. A multivariate analysis identified 3 independent predictors associated with poor functional outcomes (ADL scores ≤70) at one month after hospital discharge including sarcopenia (adjusted odds ratio [aOR]: 3.33; 95% confidence interval [CI]: 1.25-8.87); duration of mechanical ventilation (aOR: 1.19; 95% CI: 1.02-1.38); and length of hospital stay (aOR: 1.05; 95% CI: 1.01-1.10). Cox proportional-hazards regression models found that sarcopenia (adjusted hazard ratio [aHR]: 2.07; 95% CI: 1.02-4.22) and admission severity (aHR: 1.13; 95% CI: 1.04-1.23) were predictors of 120-day mortality. CONCLUSIONS: Sarcopenia was an independent predictor of poor functional outcomes at one month after hospital discharge.

A simpler screening tool for sarcopenia in surgical patients.

BACKGROUND: Sarcopenia is defined as decreased skeletal muscle mass and muscle functions (strength and physical performance). Muscle mass is measured by specific methods, such as bioelectrical impedance analysis and dual-energy X-ray absorptiometry. However, the devices used for these methods are costly and are usually not portable. A simple tool to screen for sarcopenia without measuring muscle mass might be practical, especially in developing countries. The aim of this study was to design a simple screening tool and to validate its performance in screening for sarcopenia in older adult cancer patients scheduled for elective surgery. METHODS: Cancer surgical patients aged >60 years were enrolled. Their nutritional statuses were evaluated using the Mini Nutrition Assessment-Short Form. Sarcopenia was assessed using Asian Working Group for Sarcopenia (AWGS) criteria. Appendicular skeletal muscle mass was measured by bioelectrical impedance analysis. Four screening formulas with differing combinations of factors (muscle strength, physical performance, and nutritional status) were assessed. The validities of the formulas, compared with the AWGS definition, are presented as sensitivity, specificity, accuracy, and area under a receiver operating characteristic curve. RESULTS: Of 251 enrolled surgical patients, 84 (34%) were diagnosed with sarcopenia. Malnutrition (odds ratio [OR]: 2.89, 95% CI: 1.40-5.93); underweight status (OR: 2.80, 95% CI: 1.06-7.43); and age increments of 5 years (OR: 1.78, 95% CI: 1.41-2.24) were independent predictors of preoperative sarcopenia. The combination of low muscle strength and/or abnormal physical performance, plus malnutrition/risk of malnutrition had the highest sensitivity, specificity, and accuracy (81.0%, 78.4%, and 79.3%, respectively). This screening formula estimated the probability of sarcopenia with a positive predictive value of 65.4% and a negative predictive value of 89.1%. CONCLUSION: Sarcopenia screening can be performed using a simple tool. The combination of low muscle strength and/or abnormal physical performance, plus malnutrition/risk of malnutrition, has the highest screening performance.

The implementation of a nutrition protocol in a surgical intensive care unit; a randomized controlled trial at a tertiary care hospital.

BACKGROUND: Malnutrition in critically ill patients is linked with significant mortality and morbidity. However, it remains controversial whether nutrition therapy protocols are effective in improving clinical outcomes. The present study aimed to evaluate the effectiveness of a surgical ICU nutrition protocol, and to compare the hospital mortality, hospital LOS, and ICU LOS of protocol and non-protocol groups. METHODS: A randomized controlled trial was conducted at the Surgical ICU, Siriraj Hospital. The nutrition administration of the control group was at the discretion of the attending physicians, whereas that of the intervention group followed the "Siriraj Surgical ICU Nutrition Protocol". Details of the demographic data, nutritional data, and clinical outcomes were collected. RESULTS: In all, 170 patients underwent randomization, with 85 individuals each in the protocol and non-protocol groups. More than 90% of the patients in both groups were at risk of malnutrition, indicated by a score of ≥ 3 on the Nutritional Risk Screening 2002 tool. The average daily calories of the 2 groups were very similar (protocol group, 775.4±342.2 kcal vs. control group, 773.0±391.9 kcal; p = 0.972). However, the median time to commence enteral nutrition was shorter for the protocol group (1.94 days) than the control group (2.25 days; p = 0.503). Enteral nutrition was provided within the first 48 hours to 53.7% of the protocol patients vs. 47.4% of the control patients (p = 0.589). In addition, a higher proportion of the protocol patients (36.5%) reached the 60% calorie-target on Day 4 after admission than that for the non-protocol group (25.9%; p = 0.136). All other clinical outcomes and nutrition-related complications were not significantly different. CONCLUSIONS: The implementation of the nutrition protocol did not improve the feeding effectiveness or clinical outcomes as compared to usual nutrition management practices of the Surgical ICU.

Correction to: Postoperative delirium in critically ill surgical patients: incidence, risk factors, and predictive scores.

Following publication of the original article [1], the authors reported a missing data on Table 1 in their paper. The original article [1] has been updated.

Postoperative delirium in critically ill surgical patients: incidence, risk factors, and predictive scores.

BACKGROUND: A common postoperative complication found among patients who are critically ill is delirium, which has a high mortality rate. A predictive model is needed to identify high-risk patients in order to apply strategies which will prevent and/or reduce adverse outcomes. OBJECTIVES: To identify the incidence of, and the risk factors for, postoperative delirium (POD) in surgical intensive care unit (SICU) patients, and to determine predictive scores for the development of POD. METHODS: This study enrolled adults aged over 18 years who had undergone an operation within the preceding week and who had been admitted to a SICU for a period that was expected to be longer than 24 h. The CAM - ICU score was used to determine the occurrence of delirium. RESULTS: Of the 250 patients enrolled, delirium was found in 61 (24.4%). The independent risk factors for delirium that were identified by a multivariate analysis comprised age, diabetes mellitus, severity of disease (SOFA score), perioperative use of benzodiazepine, and mechanical ventilation. A predictive score (age + (5 × SOFA) + (15 × Benzodiazepine use) + (20 × DM) + (20 × mechanical ventilation) + (20 × modified IQCODE > 3.42)) was created. The area under the receiver operating characteristic (ROC) curve (AUC) was 0.84 (95% CI: 0.786 to 0.897). The cut point of 125 demonstrated a sensitivity of 72.13% and a specificity of 80.95%, and the hospital mortality rate was significantly greater among the delirious than the non-delirious patients (25% vs. 6%, p < 0.01). CONCLUSIONS: POD was experienced postoperatively by a quarter of the surgical patients who were critically ill. A risk score utilizing 6 variables was able to predict which patients would develop POD. The identification of high-risk patients following SICU admission can provide a basis for intervention strategies to improve outcomes. TRIAL REGISTRATION: Thai Clinical Trials Registry TCTR20181204006 . Date registered on December 4, 2018. Retrospectively registered.

Predictive performance of a multivariable difficult intubation model for obese patients.

BACKGROUND: A predictive model of scores of difficult intubation (DI) may help physicians screen for airway difficulty to reduce morbidity and mortality in obese patients. The present study aimed to set up and evaluate the predictive performance of a newly developed, practical, multivariate DI model for obese patients. METHODS: A prospective multi-center study was undertaken on adults with a body mass index (BMI) of 30 kg/m2 or more who were undergoing conventional endotracheal intubation. The BMI and 10 preoperative airway tests (namely, malformation of the teeth in the upper jaw, the modified Mallampati test [MMT], the upper lip bite test, neck mobility testing, the neck circumference [NC], the length of the neck, the interincisor gap, the hyomental distance, the thyromental distance [TM] and the sternomental distance) were examined. A DI was defined as one with an intubation difficulty scale (IDS) score ≥ 5. RESULTS: The 1,015 patients recruited for the study had a mean BMI of 34.2 (standard deviation: 4.3 kg/m2). The proportions for easy intubation, slight DI and DI were 81%, 15.8% and 3.2%, respectively. Drawing on the results of a multivariate analysis, clinically meaningful variables related to obesity (namely, BMI, MMT, and the ratio of NC to TM) were used to build a predictive model for DI. Nevertheless, the best model only had a fair predictive performance. The area under the receiver operating characteristic curve (AUC) was 0.71 (95% confidence interval 0.68-0.84). CONCLUSIONS: The predictive performance of the selected model showed limited benefit for preoperative screening to predict DI among obese patients.