Application of a 72 h National Early Warning Score and Incorporation with Sequential Organ Failure Assessment for Predicting Sepsis Outcomes and Risk Stratification in an Intensive Care Unit: A Derivation and Validation Cohort Study.

We investigated the best timing for using the National Early Warning Score 2 (NEWS2) for predicting sepsis outcomes and whether combining the NEWS2 and the Sequential Organ Failure Assessment (SOFA) was applicable for mortality risk stratification in intensive care unit (ICU) patients with severe sepsis. All adult patients who met the Third International Consensus Definitions for Sepsis and Septic Shock criteria between August 2013 and January 2017 with complete clinical parameters and laboratory data were enrolled as a derivation cohort. The primary outcomes were the 7-, 14-, 21-, and 28-day mortalities. Furthermore, another group of patients under the same setting between January 2020 and March 2020 were also enrolled as a validation cohort. In the derivation cohort, we included 699 consecutive adult patients. The 72 h NEWS2 had good discrimination for predicting 7-, 14-, 21-, and 28-day mortalities (AUC: 0.780, 0.724, 0.700, and 0.667, respectively) and was not inferior to the SOFA (AUC: 0.740, 0.680, 0.684, and 0.677, respectively). With the new combined NESO tool, the hazard ratio was 1.854 (1.203-2.950) for the intermediate-risk group and 6.810 (3.927-11.811) for the high-risk group relative to the low-risk group. This finding was confirmed in the validation cohort using a separated survival curve for 28-day mortality. The 72 h NEWS2 alone was non-inferior to the admission SOFA or day 3 SOFA for predicting sepsis outcomes. The NESO tool was found to be useful for 7-, 14-, 21-, and 28-day mortality risk stratification in patients with severe sepsis.

Comparison between COPD Assessment Test (CAT) and modified Medical Research Council (mMRC) dyspnea scores for evaluation of clinical symptoms, comorbidities and medical resources utilization in COPD patients.

BACKGROUND: The 2011 Global Initiative for Chronic Obstructive Lung Disease (GOLD) proposed a new severity assessment system for emphasizing clinical symptom evaluation by COPD Assessment Test (CAT) or modified Medical Research Council (mMRC) dyspnea scores. The aim of the study was to evaluate the effectiveness of two scoring systems in evaluating COPD patients. METHODS: A population based cross-sectional study employing computer-assisted telephone interviewing system (CATI) for surveying the epidemiology of COPD in Taiwan. Among 6600 subjects recruited (age > 40), 404 subjects (6.1%) were diagnosed as COPD. The comorbidities, COPD-related symptoms, health care resources utilization were compared between CAT and mMRC. RESULTS: There were significant differences in all co-morbidities, symptom severity in favor of CAT as compared to mMRC. When comparing health care resources utilization, CAT and mMRC have equal effectiveness in evaluating patients with regular medical treatment. There were significant differences in emergency room visit and hospitalization in favor of mMRC. However, CAT was more effective in evaluating patients with ICU admission (P = 0.005). CONCLUSION: Compared with CAT and mMRC, there are individual benefits in the evaluation of clinical symptoms, co-morbidities and medical resources utilization for ER, hospitalization and ICU admission in COPD patients.

[Exploration of the Care Needs of Post-Chemotherapy Lung Cancer Patients and Related Factors].

BACKGROUND: Chemotherapy (CT) is the first priority treatment for advanced stage lung cancer. However, symptom distress, impaired ability to conduct daily activities, and post-CT care needs are potential side effects of CT. PURPOSE: To explore the factors related to the care needs of post-chemotherapy lung cancer patients. METHODS: A cross-sectional study was used. One hundred and twenty-one adult patients who had been diagnosed with advanced-stage lung cancer and who had undergone CT using the Platinum and Docetaxel doublet regimen were recruited from a medical center in southern Taiwan. The instruments used included a nursing care needs survey, symptoms distress scale, daily activity interference scale, and patient characteristics datasheet. RESULTS: Participants self-prioritized their emergency management, health consultation, and emotional support activities based on their perceived care needs. The top three post-CT symptoms in terms of severity were: fatigue, appetite change, and sleep disorder. Primary disruptions in daily activities during the post-CT period related to: holding social activities, work, and stair climbing. Significant and positive correlations were found among daily activity interference (r = .30, p < .01), symptoms distress (r = .23, p < .01), and care needs. The regression model indicated daily activity interference as a predictor of care needs, accounting for 10.7% of the total variance. CONCLUSIONS/IMPLICATIONS FOR PRACTICE: These results highlight the relationships among care needs, symptom distress, and daily activity interference in post-chemotherapy lung-cancer patients. The present study provides a reference for nursing care to reduce the symptom distress, to enhance the performance of daily activities, and to meet the care needs of lung-cancer patients.

A new grid-scale model simulating the spatiotemporal distribution of PM2.5-PAHs for exposure assessment.

Exposure to polycyclic aromatic hydrocarbons (PAHs) associated with ambient air particulate matter (PM) poses significant health concerns. Several modeling approaches have been developed for simulating ambient PAHs, but no hourly intra-urban spatial data are currently available. The aim of this study is to develop a new modeling strategy in simulating, on an hourly basis, grid-scale PM2.5-PAH levels. PM and PAHs were collected over a one-year time frame through an established air quality monitoring network within a metropolitan area of Taiwan. Multivariate linear regression models, in combination with correlation analysis and PAH source identification by principal component analysis (PCA), were performed to simulate hourly grid-scale PM2.5-PAH concentrations, taking criteria pollutants and meteorological variables selected as possible predictors. The simulated levels of 72-h personal exposure were found to be significantly (R=0.729**, p<0.01) correlated with those analyzed from portable personal monitors. A geographic information system (GIS) was used to visualize spatially distributed PM2.5-PAH concentrations of the modeling results. This new grid-scale modeling strategy, incorporating the output of simulated data by GIS, provides a useful and versatile tool in personal exposure analysis and in the health risk assessment of air pollution.

COPD in Taiwan: a National Epidemiology Survey.

OBJECTIVES: To determine the prevalence of COPD in Taiwan and to document the disease characteristics and associated risk factors. METHODS: We conducted a random cross-sectional national survey of adults older than 40 years in Taiwan. Respiratory health screening questions identified subjects with diagnosed COPD or whose reported symptoms also fulfilled an epidemiological case definition; these were eligible to complete the survey, which also included indices of symptom severity and disability and questions on comorbidities, medical treatments, smoking habits, and occupations potentially harmful to respiratory health. Subjects with diagnosed COPD were subdivided by smoking status. Subjects who fulfilled the case definition of COPD and smoked were designated as "possible COPD". Participants who did not fit the case definition of COPD were asked only about their personal circumstances and smoking habits. Data from these groups were analyzed and compared. RESULTS: Of the 6,600 participants who completed the survey, 404 (6.1%) fulfilled the epidemiological case definition of COPD: 137 with diagnosed COPD and 267 possible COPD. The most common comorbidities of COPD were hypertension or cardiovascular diseases (36.1%). Subjects with definite COPD had significantly higher COPD Assessment Test scores than the possible COPD group (14.6±8.32 vs 12.6±6.49, P=0.01) and significantly more comorbid illnesses (P=0.01). The main risk factors contributing to health care utilization in each COPD cohort were higher COPD Assessment Test scores (odds ratio [OR] 1.15, 95% confidence interval [CI] 1.04-1.26), higher modified Medical Research Council Breathlessness Scale scores (OR 1.97, 95% CI 1.11-3.51), and having more than one comorbidity (OR 5.19, 95% CI 1.05-25.61). CONCLUSION: With estimated prevalence of 6.1% in the general population, COPD in Taiwan has been underdiagnosed. Symptoms and comorbidities were independent risk factors for health care utilization in subjects with definite or possible COPD. There is an urgent need to raise awareness of the importance of early evaluation and prompt treatment for subjects with chronic airway symptoms.

Sequential oxygenation index and organ dysfunction assessment within the first 3 days of mechanical ventilation predict the outcome of adult patients with severe acute respiratory failure.

OBJECTIVE: To determine early predictors of outcomes of adult patients with severe acute respiratory failure. METHOD: 100 consecutive adult patients with severe acute respiratory failure were evaluated in this retrospective study. Data including comorbidities, Sequential Organ Failure Assessment (SOFA) score, Acute Physiological Assessment and Chronic Health Evaluation II (APACHE II) score, PaO2, FiO2, PaO2/FiO2, PEEP, mean airway pressure (mPaw), and oxygenation index (OI) on the 1st and the 3rd day of mechanical ventilation, and change in OI within 3 days were recorded. Primary outcome was hospital mortality; secondary outcome measure was ventilator weaning failure. RESULTS: 38 out of 100 (38%) patients died within the study period. 48 patients (48%) failed to wean from ventilator. Multivariate analysis showed day 3 OI (P=0.004) and SOFA (P=0.02) score were independent predictors of hospital mortality. Preexisting cerebrovascular accident (CVA) (P=0.002) was the predictor of weaning failure. Results from Kaplan-Meier method demonstrated that higher day 3 OI was associated with shorter survival time (log-Rank test, P<0.001). CONCLUSION: Early OI (within 3 days) and SOFA score were predictors of mortality in severe acute respiratory failure. In the future, prospective studies measuring serial OIs in a larger scale of study cohort is required to further consolidate our findings.