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1.
Heliyon ; 10(4): e26220, 2024 Feb 29.
Artigo em Inglês | MEDLINE | ID: mdl-38404779

RESUMO

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.

2.
Nutr Clin Pract ; 39(3): 599-610, 2024 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-38146781

RESUMO

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.


Assuntos
Atividades Cotidianas , Avaliação Geriátrica , Força da Mão , Avaliação Nutricional , Estado Nutricional , Sarcopenia , Humanos , Sarcopenia/diagnóstico , Sarcopenia/complicações , Masculino , Feminino , Idoso , Pessoa de Meia-Idade , Avaliação Geriátrica/métodos , Neoplasias/complicações , Neoplasias/mortalidade , Idoso de 80 Anos ou mais , Fragilidade/diagnóstico , Programas de Rastreamento/métodos , Complicações Pós-Operatórias/epidemiologia , Complicações Pós-Operatórias/etiologia , Força Muscular
3.
J Psychosom Res ; 172: 111427, 2023 09.
Artigo em Inglês | MEDLINE | ID: mdl-37413796

RESUMO

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.


Assuntos
Demência , Delírio do Despertar , Humanos , Idoso , Estudos Prospectivos , Estado Terminal , Unidades de Terapia Intensiva , Fatores de Risco
4.
Medicine (Baltimore) ; 102(13): e33389, 2023 Mar 31.
Artigo em Inglês | MEDLINE | ID: mdl-37000055

RESUMO

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.


Assuntos
Multimorbidade , Qualidade de Vida , Masculino , Humanos , Idoso , Idoso de 80 Anos ou mais , Feminino , Estudos Prospectivos , Custos de Cuidados de Saúde , Aceitação pelo Paciente de Cuidados de Saúde
5.
Front Med (Lausanne) ; 9: 956435, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36213680

RESUMO

Background: The Nursing Delirium Screening Scale (Nu-DESC) is an effective instrument for assessing postoperative delirium (POD). This study translated the Nu-DESC into Thai ("Nu-DESC-Thai"), validated it, and compared its accuracy with the Diagnostic and Statistical Manual of Mental Disorders-5 (DSM-5). Methods: The translation process followed the International Society for Pharmacoeconomics Outcome Research guidelines. Recruited participants were ≥ 70 years old, fluent in Thai, and scheduled for surgery. The exclusion criteria were cancellation or postponement of an operation, severe visual or auditory impairment, and patients with a Richmond Agitation Sedation Scale score of -4 or less before delirium assessment. Post-anesthesia care unit (PACU) nurses and residents on wards each used the Nu-DESC to assess delirium in 70 participants (i.e., 140 assessments) after the operation and after patient arrival at wards, respectively. Geriatricians confirmed the diagnoses using video observations and direct patient contact. Results: The participants' mean age was 76.5 ± 4.6 years. The sensitivity and specificity of the Nu-DESC-Thai at a threshold of ≥ 2 were 55% (95% CI, 31.5-76.9%) and 90.8% (84.2-95.3%), respectively, with an area under a receiver operating characteristic curve (AUC) of 0.73. At a threshold of ≥ 1, the sensitivity and specificity were 85% (62.1-96.8%) and 71.7% (62.7-79.5%), respectively (AUC, 0.78). Adding 1 point for failing backward-digit counting (30-1) to the Nu-DESC-Thai and screening at a threshold of ≥ 2 increased its sensitivity to 85% (62.1-96.8%) with the same specificity of 90.8% (84.2-95.3%). Conclusion: The Nu-DESC-Thai showed good validity and reliability for postoperative use. Its sensitivity was inadequate at a cutoff ≥ 2. However, the sensitivity improved when the threshold was ≥ 1 or with the addition of backward counting to Nu-DESC-Thai and screening at a threshold of ≥ 2.

6.
BMJ Open ; 12(6): e057890, 2022 06 21.
Artigo em Inglês | MEDLINE | ID: mdl-35728902

RESUMO

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).


Assuntos
Delírio , Unidades de Terapia Intensiva , Adulto , Idoso , Idoso de 80 Anos ou mais , Cuidados Críticos , Estado Terminal , Delírio/diagnóstico , Delírio/epidemiologia , Delírio/etiologia , Humanos , Pessoa de Meia-Idade , Estudos Prospectivos
7.
Medicine (Baltimore) ; 101(9): e28990, 2022 Mar 04.
Artigo em Inglês | MEDLINE | ID: mdl-35244073

RESUMO

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.


Assuntos
Estado Terminal/reabilitação , Unidades de Terapia Intensiva/estatística & dados numéricos , Tempo de Internação/estatística & dados numéricos , Encaminhamento e Consulta/estatística & dados numéricos , Idoso , Idoso de 80 Anos ou mais , Cuidados Críticos , Estado Terminal/terapia , Feminino , Humanos , Masculino , Medicina Física e Reabilitação , Estudos Prospectivos , Reabilitação
8.
Asian J Surg ; 45(7): 1408-1413, 2022 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-34635417

RESUMO

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.


Assuntos
Estado Terminal , Sarcopenia , Atividades Cotidianas , Estudos de Coortes , Estado Terminal/terapia , Força da Mão , Hospitais , Humanos , Alta do Paciente , Estudos Prospectivos
9.
PLoS One ; 16(9): e0257672, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34555077

RESUMO

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.


Assuntos
Desnutrição/epidemiologia , Neoplasias/cirurgia , Sarcopenia/diagnóstico , Idoso , Idoso de 80 Anos ou mais , Composição Corporal , Impedância Elétrica , Feminino , Humanos , Estudos Longitudinais , Masculino , Pessoa de Meia-Idade , Força Muscular , Neoplasias/complicações , Avaliação Nutricional , Estado Nutricional , Desempenho Físico Funcional , Estudos Prospectivos , Sarcopenia/etiologia , Sensibilidade e Especificidade
10.
PLoS One ; 15(4): e0231777, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32298381

RESUMO

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.


Assuntos
Estado Terminal/mortalidade , Nutrição Enteral , Nutrição Parenteral , Idoso , Idoso de 80 Anos ou mais , Cuidados Críticos/métodos , Cuidados Críticos/estatística & dados numéricos , Nutrição Enteral/métodos , Nutrição Enteral/estatística & dados numéricos , Feminino , Mortalidade Hospitalar , Humanos , Unidades de Terapia Intensiva , Tempo de Internação/estatística & dados numéricos , Masculino , Desnutrição/complicações , Desnutrição/mortalidade , Desnutrição/prevenção & controle , Pessoa de Meia-Idade , Nutrição Parenteral/métodos , Nutrição Parenteral/estatística & dados numéricos , Fatores de Risco , Centros de Atenção Terciária , Fatores de Tempo
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