[Changes in symptom patterns and health-related quality of life of cancer patients before and after chemotherapy].

OBJECTIVE: Symptom patterns are an important diagnostic concept in terms of Traditional Chinese Medicine. Although symptom patterns and health related quality of life (HRQOL) are common diagnostic measures for cancer patients, the association between them has not been studied. This study aimed to describe the changes in the pattern of symptoms of Yang-deficiency, Yin-deficiency, blood stasis, and HRQOL before and after chemotherapy, and to examine the association between the patterns and the cancer patients' HRQOL. METHODS: A panel study was undertaken with 123 cancer patients who were about to begin their first course of chemotherapy at four teaching hospitals in Taiwan. A structured questionnaire was used before and after chemotherapy. HRQOL was assessed using the Medical Outcomes Survey Short-Form 36. The Traditional Chinese Medical Constitutional Scale was used to measure Yang-deficiency, Yin-deficiency, and blood stasis patterns, with higher scores indicating a larger deficiency. RESULTS: The patients had significantly worse scores for Yang-deficient pattern, Yin-deficiency pattern, blood stasis pattern, and the physical components of HRQOL after chemotherapy compared with before chemotherapy. The HRQOL scores correlated significantly with Yang-deficiency, Yin-deficiency, and the blood stasis pattern scores. A generalized estimating equation model showed that the HRQOL scores were significantly worse after chemotherapy compared with before chemotherapy for the physical component, but not for the mental component. Blood stasis pattern was significantly associated with a decreased HRQOL in both the physical and mental components. A hemoglobin level < 12 g/dL was associated with a worse physical component of HRQOL. CONCLUSION: The Yang-deficiency, Yin-deficiency, and blood stasis patterns were all associated with lower HRQOL in cancer patients after chemotherapy.

The Effectiveness of a Traditional Chinese Medicine-Based Mobile Health App for Individuals With Prediabetes: Randomized Controlled Trial.

BACKGROUND: Traditional Chinese medicine (TCM) theories assert that body constitution and meridian energy lay the foundation for disease prevention. TCM-based health concepts have not yet been incorporated into mobile health (mHealth) apps for individuals with prediabetes. OBJECTIVE: The aim of this study was to examine the effectiveness of a TCM mHealth app for individuals with prediabetes. METHODS: This randomized controlled trial recruited 121 individuals with prediabetes at a teaching hospital in New Taipei City between February 2020 and May 2021. The participants were randomly assigned to the TCM mHealth app group (n=42), ordinary mHealth app group (n=41), or control group (n=38). All participants received the usual care that included 15-20 minutes of health education about the disease, along with healthy diet and exercise encouragement. The ordinary mHealth app included physical activity (PA), diet, and disease education, along with individual records. The TCM mHealth app additionally included qi and body constitution information, along with constitution-based PA and diet advice. The control group received the usual care alone and did not have access to any app. Data were collected at baseline, at the end of the 12-week intervention, and 1 month after the intervention. Body constitution, including yang-deficiency, yin-deficiency, and phlegm-stasis, was measured according to the Body Constitution Questionnaire, with higher scores indicating a greater deficiency. Body energy was examined using the Meridian Energy Analysis Device. The Short-Form 36 questionnaire was used to evaluate health-related quality of life (HRQOL), which yielded physical component scores and mental component scores, with higher scores indicating better physical and mental aspects of HRQOL, respectively. RESULTS: Compared to the control group, the TCM mHealth app group showed greater improvement in hemoglobin A1c (HbA1c), yang-deficiency and phlegm-stasis body constitution, and BMI; however, no significant differences were found in these outcomes between the TCM mHealth app and ordinary mHealth app groups. The TCM mHealth app group showed better improvement in body energy and mental component scores than the ordinary mHealth app group. There were no significant differences in fasting plasma glucose, yin-deficiency body constitution, Dietary Approaches to Stop Hypertension dietary behavior, and total PA among the three groups after the intervention. CONCLUSIONS: Use of either the ordinary or TCM mHealth app improved HRQOL among individuals with prediabetes. Compared to the outcomes of controls not using any app, use of the TCM mHealth app was effective at improving HbA1c, BMI, yang-deficiency and phlegm-stasis body constitution, and HRQOL. Moreover, using the TCM mHealth app seemed to improve the body energy and HRQOL more than when using the ordinary mHealth app. Further studies with a larger sample size and longer follow-up period may be necessary to determine whether the differences favoring the TCM app are clinically meaningful. TRIAL REGISTRATION: ClinicalTrials.gov NCT04096989; https://clinicaltrials.gov/ct2/show/NCT04096989.

Immunothrombosis biomarkers as potential predictive factors of acute respiratory distress syndrome in moderate-to-critical COVID-19: A single-center, retrospective cohort study.

BACKGROUND: Immunothrombosis, a process of inflammation and coagulation, is involved in sepsis-induced acute respiratory distress syndrome formation (ARDS). However, the clinical correlation between immunothrombosis biomarkers (including tissue factor [TF] and von Willebrand factor [vWF]) and coronavirus disease 2019 (COVID-19)-related ARDS is unknown. This study investigated ARDS development following moderate-to-critical COVID-19 and examined immunothrombosis biomarkers as ARDS predictors. METHODS: This retrospective cohort study included patients with moderate-to-critical COVID-19 (n = 165) admitted to a northern teaching hospital during the 2021 pandemic in Taiwan, who had no COVID-19 vaccinations. Immunothrombosis biomarkers were compared between COVID-19 patients with and without ARDS (no-ARDS) and a control group consisting of 100 healthy individuals. RESULTS: The study included 58 ARDS and 107 no-ARDS patients. In multivariable analysis, TF (aOR=1.031, 95% CI: 1.009-1.053, p = 0.006); and vWF (aOR=1.053, 95% CI: 1.002-1.105, p = 0.041) were significantly associated with ARDS episodes, after adjusting for other confounding factors. vWF and TF predicted ARDS with the area under the curve of 0.870 (95% CI: 0.796-0.945). Further mechanical ventilation analysis found TF to be correlated significantly with pCO2 and ventilatory ratio. CONCLUSIONS: TF and vWF levels potentially predicted ARDS development within 7 days of admission for COVID-19 after adjusting for traditional risk factors. TF correlated with ventilation impairment in COVID-19 ARDS but further prospective studies are needed.

Association between heme oxygenase one and sepsis development in patients with moderate-to-critical COVID-19: a single-center, retrospective observational study.

BACKGROUND: Heme oxygenase one (HO-1) is considered a poor prognostic factor for survival in patients with severe-to-critical coronavirus disease (COVID-19), but the clinical correlation between heme catabolism biomarkers and COVID-19-related sepsis is unknown. The etiopathogenetic hypothesis of HO-1 response during sepsis in patients with poor prognosis should be clarified. This study aimed to investigate sepsis development within 48 h following moderate-to-critical COVID-19 and examined heme/HO-1 catabolism biomarkers associated with sepsis. We also studied the HO-1 and traditional prognostic factors for predicting survival in patients with COVID-19. METHODS: This retrospective observational study included patients unvaccinated for COVID-19 with moderate-to-critical COVID-19 (n = 156) who had been admitted to Taipei Tzu Chi Hospital in 2021. All COVID-19 patients were diagnosed by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reverse transcriptase polymerase chain reaction. For analysis of heme catabolism in SARS-CoV-2-induced sepsis, we excluded patients with co-infection and severe anemia. Heme catabolism biomarkers were compared between groups of patients with COVID-19 and sepsis (sepsis) and those with COVID-19 without sepsis (no sepsis), and a control group comprising 100 healthy individuals. All clinical and laboratory data were collected retrospectively and blood specimens were collected from Biobank. Multivariable logistic regression analysis was used to compare all variables between the sepsis and no-sepsis groups. Cox regression analysis was used to determine predictors of survival in patients with COVID-19. RESULTS: There were 71 and 85 patients with and without sepsis, respectively. Heme and HO-1 levels differed significantly between the sepsis, no sepsis, and control groups. In multivariate analysis, confusion, blood urea nitrogen, respiration, blood pressure in patients aged > 65 years (CURB-65) (adjusted odds ratio [aOR] 5.331, 95% confidence interval [CI] 2.587-10.987; p < 0.001), albumin (aOR 0.139, 95% CI 0.003-0.636; p = 0.01), D-dimer (aOR 1.001, 95% CI 1.000-1.002; p = 0.032), and HO-1 (aOR 1.116, 95% CI 1.055-1.180; p < 0.001) were significantly associated with 48-h sepsis episodes after adjusting for other confounding factors. HO-1 levels were also significantly associated with 48-h Sequential Organ Failure Assessment Score (SOFA) scores. However, HO-1 did not significantly increase the hazard of in-hospital mortality in moderate-to-critical COVID-19 by Cox regression analysis. CONCLUSIONS: HO-1 levels increased with sepsis development within 48 h of admission for COVID-19 after adjusting for other risk factors, but no significant association was observed between HO-1 and COVID-19 mortality. We suppose that HO-1 may have protective effect in early sepsis, but further clinical multicenter prospective studies are needed.

Cardiovascular Parameters Associated With Troponin I as Indicators for 14-Day Mortality in Patients With Septic Shock.

BACKGROUND: Troponin I is better than other troponin isoforms for monitoring cardiocyte damage, and correlates with sepsis-related mortality. However, hemodynamic factors possibly interact with cardiac function to affect mortality in sepsis. Thus, this study used parameters from pulse-induced contour cardiac output (PiCCO) to investigate the possibility. METHODS: Patients with troponin I tests and sequential organ failure assessment score ≥2 were selected and divided into survivors and nonsurvivors groups and blood troponin I levels between them were compared. Additionally, 65 patients with septic shock and PiCCO records were selected and divided into high cardiac function index (CFI) and low CFI groups and their cardiac function associated with troponin I levels was checked. Furthermore, the patients were classified into 4 subgroups based on CFI and another hemodynamical parameter of PiCCO for identifying if any interaction between CFI and the parameter existed. RESULTS: High blood troponin I levels correlated with high mortality, and with low cardiac function (CFI < 4.5) alone or with low CFI combined with high stroke volume variation (SVV), but did not correlate with global end-diastolic index (GEDI), or systemic vascular resistance index. However, only the subgroup with low CFI and high SVV (CFI < 4.5 and SVV > 10) increased mortality. CONCLUSIONS: Our data give an insight into interactions between cardiac and hemodynamic factors to cause cardiocyte damage and suggest that multiple factors (i.e., low CFI and high SVV) should be considered together to evaluate cardiocyte damage and mortality in sepsis.