scholarly journals Intravenous Vitamin C Administration Improved Blood Cell Counts and Health-Related Quality of Life of Patient with History of Relapsed Acute Myeloid Leukaemia

Antioxidants ◽  
2018 ◽  
Vol 7 (7) ◽  
pp. 92 ◽  
Author(s):  
Mike Foster ◽  
Anitra Carr ◽  
Alina Antony ◽  
Selene Peng ◽  
Mike Fitzpatrick

A 52-year-old female presented to Integrated Health Options Clinic in October 2014 with a history of relapsed acute myeloid leukaemia (AML, diagnosed in 2009 and relapsed in 2014). Intravenous(IV) vitamin C therapy was initiated (in 2014) following completion of chemotherapy as an alternative to haematopoietic stem cell transplantation. IV vitamin C was administered twice weekly at a dose of 70 g/infusion. Within 4 weeks of initiation of IV vitamin C therapy, there was a dramatic improvement in the patient’s blood indices with platelet cell counts increasing from 25 × 109/L to 196 × 109/L and white blood cell counts increasing from 0.29 × 109/L to 4.0 × 109/L, with further improvements observed over the next 18 months. Furthermore, there was a clear and sustained improvement in the patient’s health-related quality of life scores assessed using a validated questionnaire. She has remained healthy and in complete remission until the present day. This case study highlights the benefits of IV vitamin C as a supportive therapy for previously relapsed AML.

2016 ◽  
Vol 51 (6) ◽  
pp. 442-453 ◽  
Author(s):  
Megan N. Houston ◽  
Matthew C. Hoch ◽  
Johanna M. Hoch

Context: Assessment of health-related quality of life (HRQOL) after injury is important. Differences in HRQOL between nonathletes and athletes and between injured and uninjured athletes have been demonstrated; however, the evidence has not been synthesized. Objective: To answer the following questions: (1) Does HRQOL differ among adolescent and collegiate athletes and nonathletes? (2) Does HRQOL differ between injured adolescent and collegiate athletes or between athletes with a history of injury and uninjured athletes or those without a history of injury? Data Sources: We systematically searched CINAHL, MEDLINE, SPORTDiscus, and PubMed. A hand search of references was also conducted. Study Selection: Studies were included if they used generic instruments to compare HRQOL outcomes between athletes and nonathletes and between uninjured and injured athletes. Studies were excluded if they did not use a generic instrument, pertained to instrument development, or included retired athletes or athletes with a chronic disease. Data Extraction: We assessed study quality using the modified Downs and Black Index Tool. Bias-corrected Hedges g effect sizes and 95% confidence intervals (CIs) were calculated. The Strength of Recommendation Taxonomy (SORT) was used to determine the overall strength of the recommendation. A random-effects meta-analysis was performed for all studies using the composite or total score. Data Synthesis: Eight studies with modified Downs and Black scores ranging from 70.6% to 88.4% were included. For question 1, the overall random-effects meta-analysis was weak (effect size = 0.27, 95% confidence interval = 0.14, 0.40; P < .001). For question 2, the overall random-effects meta-analysis was moderate (effect size = 0.68, 95% confidence interval = 0.42, 0.95; P < .001). Conclusions: Grade A evidence indicates that athletes reported better HRQOL than nonathletes and that uninjured athletes reported better HRQOL than injured athletes. However, the overall effect for question 1 was weak, suggesting that the differences between athletes and nonathletes may not be clinically meaningful. Clinicians should monitor HRQOL after injury to ensure that all dimensions of health are appropriately treated.


2020 ◽  
Vol 29 (6) ◽  
pp. 772-776 ◽  
Author(s):  
Johanna M. Hoch ◽  
Megan N. Houston ◽  
Shelby E. Baez ◽  
Matthew C. Hoch

Context: Many athletes return to sport after anterior cruciate ligament reconstruction (ACLR) with lingering physical or mental health impairments. Examining health-related quality of life (HRQL) and fear-avoidance beliefs across the spectrum of noninjured athletes and athletes with a history of ACLR may provide further insight into targeted therapies warranted for this population. Objective: The purpose of this study was to examine differences in fear-avoidance beliefs and HRQL in college athletes with a history of ACLR not participating in sport (ACLR-NPS), participating in sport (ACLR-PS), and healthy controls (Control) with no history of injury participating in sport. Design: Cross-sectional. Setting: Laboratory. Patients (or Other Participants): A total of 10 college athletes per group (ACLR-NPS, ACLR-PS, and Control) were included. Participants were included if on a roster of a Division I or III athletic team during data collection. Interventions: Participants completed a demographic survey, the modified Disablement in the Physically Active Scale (mDPA) to assess HRQL, and Fear-Avoidance Beliefs Questionnaire (FABQ) to assess fear-avoidance beliefs. Main Outcome Measures: Scores on the mDPA (Physical and Mental) and FABQ subscales (Sport and Physical Activity) were calculated, a 1-way Kruskal–Wallis test and separate Mann–Whitney U post hoc tests were performed (P < .05). Results: ACLR-NPS (30.00 [26.00]) had higher FABQ-Sport scores than ACLR-PS (18.00 [26.00]; P < .001) and Controls (0.00 [2.50]; P < .001). ACLR-NPS (21.50 [6.25]) had higher FABQ-Physical Activity scores than ACLR-PS (12.50 [13.00]; P = .001) and Controls (0.00 [1.00]; P < .001). Interestingly, ACLR-PS scores for FABQ-Sport (P = .01) and FABQ-Physical Activity (P = .04) were elevated compared with Controls. ACLR-NPS had higher scores on the mDPA-Physical compared with the ACLR-PS (P < .001) and Controls (P < .001), and mDPA-Mental compared with ACLR-PS (P = .01), indicating decreased HRQL. Conclusions: The ACLR-NPS had greater fear-avoidance beliefs and lower HRQL compared with ACLR-PS and Controls. However, the ACLR-PS had higher scores for both FABQ subscales compared with Controls. These findings support the need for additional psychosocial therapies to address fear-avoidance beliefs in the returned to sport population.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4073-4073
Author(s):  
Jeremy Zack ◽  
Robert Sheppard Nickel ◽  
Allistair Abraham ◽  
Steven J. Hardy

Abstract Title: Disease Burden and Pre-transplant Health-related Quality of Life in Pediatric Sickle Cell Disease Patients Receiving Nonmyeloablative HLA-identical Sibling Donor Transplantation Background: Sickle cell disease (SCD) is a hemoglobinopathy characterized by recurrent pain crises, severe organ damage, and reduced health-related quality of life (HRQL). Bone marrow transplantation (BMT) is a proven curative treatment for SCD that can improve both disease burden and HRQL. Despite the benefits, relatively few patients pursue a cure through BMT. The decision to receive a BMT is nuanced and likely to be influenced by a number of factors. One study by Roth et al. showed SCD patients interested in BMT had a higher HRQL than those uninterested in BMT, suggesting some variability between SCD patients pursuing transplant and the general SCD patient population. To date the factors that may affect pre-transplant HRQL of pediatric SCD patients remain unclear, particularly in the nonmyeloablative setting. Objective: To evaluate the impact of disease-burden, patient demographics, and hydroxyurea treatment on pre-transplant HRQL. Methods: Children and young adults with SCD set to receive a nonmyeloablative HLA-identical sibling donor BMT were administered HRQL surveys (PedsQL) in the six months leading up to the start of the conditioning regimen. Patients' disease history and demographic information were captured and analyzed for their relationship to HRQL. PedsQL parent surveys were used when patient surveys were unavailable. The mean difference in HRQL between groups were compared using an unpaired t test or linear regression. Results: 32 patients were enrolled onto this study. Six of the 32 patients HRQL were not included due to withdrawal, delay of transplant, or completion of the survey outside of window. The median age at the time of survey administration was 13.5 years (range 2-21). 57.7% of patients were male and 88% of patients had genotypes hemoglobin SS or Sβ 0thalassemia. 12% of patients had a history of overt stroke. 52% of patients were hospitalized while receiving HU treatment. 32% of patients received chronic blood transfusions leading up to transplant. The median number of hospitalizations in the two years leading up to transplant was 2 (range 0-10). 16.7% of patients met the AAPT diagnostic criteria for chronic pain. 75% of patients received HU treatment leading up to transplant. The median hemoglobin F percentage was 10.4. The median HRQL for all patients was 77.17 (range 36.9-98.91, SD +/- 15.99). Sickle cell genotype (P=0.88), history of overt stroke (P=0.79), hospitalization while receiving HU treatment (P=0.78), and the number of hospitalizations in the two years before transplant (P=0.39) were not associated with lower HRQL. History of chronic transfusion leading up to transplant approached statistical significance for lower HRQL (P=0.06). Older age (P=0.17) and female gender (P=0.89) were not associated with worse HRQL. Patients receiving HU treatment had significantly higher HRQL than patients not receiving HU (P=0.0034), with median PedsQL scores of 80.06 and 58.64, respectively. The date of survey administration was not associated with HRQL (P=0.40). The number of eligibility criteria met (P=0.63), chronic pain (P=0.17), total number of RBC transfusions (P=0.45), and pre-transplant hemoglobin (P=0.25) were not associated with HRQL. Discussion: Patient demographics and several markers of disease burden appear to have minimal impact on HRQL. Interestingly, the use of HU therapy was associated with significantly higher pre-transplant HRQL. The etiology of this finding is unclear given that disease burden was not associated with HRQL and warrants further investigation. The absence of association between disease burden and HRQL through current disease severity eligibility paradigms suggests that other factors may impact HRQL in SCD patients choosing a low toxicity nonmyeloablative BMT. Disclosures No relevant conflicts of interest to declare.


2020 ◽  
Author(s):  
Lucas Anyayo ◽  
Scholastic Ashaba ◽  
Mark Mohan Kaggwa ◽  
Maling Samuel ◽  
Etheldreda Nakimuli-Mpungu

Abstract Background: Bipolar disorder is a psychiatric disorder that alters mood and affects over 55 million people globally with an estimated lifetime prevalence of approximately 0.8 - 1.1%. In Africa, the lifetime prevalence of the bipolar spectrum disorders is slightly lower at 0.1 – 0.6%. Bipolar disorder is ranked the sixth leading cause of disability with high rates of morbidity and mortality and negatively impacts quality of life of those affected. Methods: The aim of the study was to determine the health-related quality of life of patients with bipolar disorder attending a mental health clinic in south western Uganda. We enrolled a consecutive sample of 169 participants and evaluated their health-related quality of life using the medical outcomes health survey short form-36 (SF-36) scale. We used bivariate and multivariable logistic regression to determine associations between quality of life, sociodemographic and clinical factors setting the physical and mental component categories of quality life scale as the main outcome variables. Results: The mean age of the participants was 37.23 (12.83) and slightly over half (54.4%) were females. More than half (66.86%) of the participants had poor physical component summary (mean=45.06, SD=8.44) while 81% of the participants had poor mental component summary (mean=41.95, SD=8.45). Poor physical quality of life had a statistically significant association with history of suicidal thoughts (OR=2.75, 95% CI=1.14-6.63, P=0.02), while poor mental quality of life had a statistically significant association with history of suicidal thoughts (OR=3.94, CI=1.22-12.71, P=0.02) and history of psychotic symptoms (OR=2.46, CI=1.07-5.64, P=0.03). Conclusion: The mental and physical quality of life of our participants was poor and history of suicidal thoughts and psychotic symptoms were associated with poor quality of life. There is need to address psychotic symptoms and suicidal thoughts in the management of patients with bipolar disorder to improve health related outcomes and quality of life.


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