Categories
Nevin Manimala Statistics

A novel systematic approach for cancer treatment prognosis and its applications in oropharyngeal cancer with microRNA biomarkers

Bioinformatics. 2021 Apr 29:btab242. doi: 10.1093/bioinformatics/btab242. Online ahead of print.

ABSTRACT

MOTIVATION: Predicting early in treatment whether a tumor is likely to respond to treatment is one of the most difficult yet important tasks in providing personalized cancer care. Most oropharyngeal squamous cell carcinoma (OPSCC) patients receive standard cancer therapy. However, the treatment outcomes vary significantly and are difficult to predict. Multiple studies indicate that microRNAs (miRNAs) are promising cancer biomarkers for the prognosis of oropharyngeal cancer. The reliable and efficient use of miRNAs for patient stratification and treatment outcome prognosis is still a very challenging task, mainly due to the relatively high dimensionality of miRNAs compared to the small number of observation sets; the redundancy, irrelevancy and uncertainty in the large amount of miRNAs; and the imbalanced observation patient samples.

RESULTS: In this study, a new machine learning-based prognosis model was proposed to stratify subsets of OPSCC patients with low and high risks for treatment failure. The model cascaded a two-stage prognostic biomarker selection method and an evidential K-nearest neighbors (EK-NN) classifier to address the challenges and improve the accuracy of patient stratification. The model has been evaluated on miRNA expression profiling of 150 oropharyngeal tumors by use of overall survival and disease-specific survival as the end points of disease treatment outcomes, respectively. The proposed method showed superior performance compared to other advanced machine-learning methods in terms of common performance quantification metrics. The proposed prognosis model can be employed as a supporting tool to identify patients who are likely to fail standard therapy and potentially benefit from alternative targeted treatments.

PMID:34237137 | DOI:10.1093/bioinformatics/btab242

Categories
Nevin Manimala Statistics

Health-related quality of life among colorectal cancer survivors of diverse sexual orientations

Cancer. 2021 Jul 8. doi: 10.1002/cncr.33762. Online ahead of print.

ABSTRACT

BACKGROUND: The purpose of this study was to examine the health-related quality of life of sexual minority survivors in comparison with heterosexual survivors.

METHODS: Four hundred eighty eligible survivors participated in a telephone survey that measured survivors’ outcomes, which consisted of physical and mental quality of life and self-rated fair or poor health. These survivors were diagnosed with stage I, II, or III colorectal cancer an average of 3 years before the survey and were recruited from 4 cancer registries. Using forward selection with generalized linear models or logistic regression models, the authors considered 4 domains-personal factors, environmental factors, health condition characteristics, and body function and structure-as correlates for each survivorship outcome.

RESULTS: The authors found that unadjusted physical quality of life and self-rated fair/poor health were similar for all survivors. Sexual minority survivors had poorer unadjusted mental quality of life in comparison with heterosexual survivors. After adjustments for covariates, this difference was no longer statistically significant. Three domains (personal factors, health condition characteristics, and body function and structure) explained colorectal cancer survivors’ fair/poor health and 46% of the variance in physical quality of life, whereas 56% of the variance in mental quality of life was explained by personal factors, body function and structure, and environmental factors.

CONCLUSIONS: This study has identified modifiable factors that can be used to improve cancer survivors’ quality of life and are, therefore, relevant to ongoing efforts to improve the survivorship experience.

PMID:34237147 | DOI:10.1002/cncr.33762

Categories
Nevin Manimala Statistics

Multiple imputation with compatibility for high-dimensional data

PLoS One. 2021 Jul 8;16(7):e0254112. doi: 10.1371/journal.pone.0254112. eCollection 2021.

ABSTRACT

Multiple Imputation (MI) is always challenging in high dimensional settings. The imputation model with some selected number of predictors can be incompatible with the analysis model leading to inconsistent and biased estimates. Although compatibility in such cases may not be achieved, but one can obtain consistent and unbiased estimates using a semi-compatible imputation model. We propose to relax the lasso penalty for selecting a large set of variables (at most n). The substantive model that also uses some formal variable selection procedure in high-dimensional structures is then expected to be nested in this imputation model. The resulting imputation model will be semi-compatible with high probability. The likelihood estimates can be unstable and can face the convergence issues as the number of variables becomes nearly as large as the sample size. To address these issues, we further propose to use a ridge penalty for obtaining the posterior distribution of the parameters based on the observed data. The proposed technique is compared with the standard MI software and MI techniques available for high-dimensional data in simulation studies and a real life dataset. Our results exhibit the superiority of the proposed approach to the existing MI approaches while addressing the compatibility issue.

PMID:34237092 | DOI:10.1371/journal.pone.0254112

Categories
Nevin Manimala Statistics

Pharmacotherapy for the Prevention of Chronic Pain after Surgery in Adults: An Updated Systematic Review and Meta-analysis

Anesthesiology. 2021 Jun 14. doi: 10.1097/ALN.0000000000003837. Online ahead of print.

ABSTRACT

BACKGROUND: Chronic postsurgical pain can severely impair patient health and quality of life. This systematic review update evaluated the effectiveness of systemic drugs to prevent chronic postsurgical pain.

METHODS: The authors included double-blind, placebo-controlled, randomized controlled trials including adults that evaluated perioperative systemic drugs. Studies that evaluated same drug(s) administered similarly were pooled. The primary outcome was the proportion reporting any pain at 3 or more months postsurgery.

RESULTS: The authors identified 70 new studies and 40 from 2013. Most evaluated ketamine, pregabalin, gabapentin, IV lidocaine, nonsteroidal anti-inflammatory drugs, and corticosteroids. Some meta-analyses showed statistically significant-but of unclear clinical relevance-reductions in chronic postsurgical pain prevalence after treatment with pregabalin, IV lidocaine, and nonsteroidal anti-inflammatory drugs. Meta-analyses with more than three studies and more than 500 participants showed no effect of ketamine on prevalence of any pain at 6 months when administered for 24 h or less (risk ratio, 0.62 [95% CI, 0.36 to 1.07]; prevalence, 0 to 88% ketamine; 0 to 94% placebo) or more than 24 h (risk ratio, 0.91 [95% CI, 0.74 to 1.12]; 6 to 71% ketamine; 5 to 78% placebo), no effect of pregabalin on prevalence of any pain at 3 months (risk ratio, 0.88 [95% CI, 0.70 to 1.10]; 4 to 88% pregabalin; 3 to 80% placebo) or 6 months (risk ratio, 0.78 [95% CI, 0.47 to 1.28]; 6 to 68% pregabalin; 4 to 69% placebo) when administered more than 24 h, and an effect of pregabalin on prevalence of moderate/severe pain at 3 months when administered more than 24 h (risk ratio, 0.47 [95% CI, 0.33 to 0.68]; 0 to 20% pregabalin; 4 to 34% placebo). However, the results should be interpreted with caution given small study sizes, variable surgical types, dosages, timing and method of outcome measurements in relation to the acute pain trajectory in question, and preoperative pain status.

CONCLUSIONS: Despite agreement that chronic postsurgical pain is an important topic, extremely little progress has been made since 2013, likely due to study designs being insufficient to address the complexities of this multifactorial problem.

PMID:34237128 | DOI:10.1097/ALN.0000000000003837

Categories
Nevin Manimala Statistics

The magnitude of undernutrition and associated factors among adult chronic kidney disease patients in selected hospitals of Addis Ababa, Ethiopia

PLoS One. 2021 Jul 8;16(7):e0251730. doi: 10.1371/journal.pone.0251730. eCollection 2021.

ABSTRACT

BACKGROUND: Undernutrition is a common comorbidity in chronic kidney disease patients which augments the progression of the disease to an end-stage renal disease, renal dysfunction and related morbidity and mortality. However, in Ethiopia, there is a dearth of research evidence in this regard. Therefore, this study aimed to assess the magnitude of undernutrition and its associated factors among adult chronic kidney disease patients.

METHODS: An institution-based cross-sectional study was conducted in selected hospitals of Addis Ababa from May to August 2018. Data were collected by structured and pretested questionnaires. Patients’ charts were reviewed from their medical profiles. Body mass index was calculated from anthropometric measurements using calibrated instruments. Serum albumin level was determined by reference laboratory standard procedure. Data were entered into Epi- data version 3.1 and exported to SPSS version 21 for analysis. Descriptive statistics were calculated and presented by tables, graphs and texts. Binary and multivariable logistic regression analyses were computed and the level of statistical significance was declared at p-value <0.05.

RESULTS: From the total sample size of 403 participants, 371 were involved in the study. The prevalence of undernutrition (BMI<18.5) among adult chronic kidney disease patients was 43.1% (95% CI: 38%-48%). Undernutrition (BMI<18.5) was significantly higher among patients with diabetic nephropathy [AOR = 2.00, 95% CI, 1.09-2.66], serum albumin value less than 3.8g/dl [AOR = 4.21: CI, 2.07-5.07], recently diagnosed with diabetes mellitus [AOR = 2.36, 95% CI, 1.03-3.14] and stage V chronic kidney disease [AOR = 3.25:95% CI, 1.00-3.87].

CONCLUSION: Undernutrition in chronic kidney disease patients was significantly higher among patients with diabetic nephropathy, patients on stage V chronic kidney disease, recently diagnosed with diabetes mellitus and serum albumin value less than 3.8g/dl.

PMID:34237068 | DOI:10.1371/journal.pone.0251730

Categories
Nevin Manimala Statistics

Use of Amniotic Tissue-Derived Allografts Post-Mohs Micrographic Surgery: A Preliminary Study Assessing Wound Closure Rate

Wounds. 2021 Jul;33(7):185-191.

ABSTRACT

INTRODUCTION: When closure is not feasible, Mohs micrographic surgical wounds typically are left to heal by secondary intention and require weeks to close. Amniotic tissue-derived allograft (ATDA) has proven successful in promoting wound closure in diabetic and refractory wounds, and it may be beneficial for patients who have undergone Mohs micrographic surgery.

OBJECTIVE: The authors conducted a preliminary study to assess the efficacy of ATDA in speeding wound closure time and improving cosmetic outcomes in the specified patient population.

MATERIALS AND METHODS: Patients received an injection of amniotic fluid, an overlay of amniotic membrane, or standard of care. Photographs of wounds taken at the time of treatment and at each subsequent visit were analyzed.

RESULTS: The cosmetic outcome and time to wound closure appeared to be improved in patients treated with ATDA when compared with expected outcomes. Owing to small sample size, differences in initial defect size, and variety of body locations, the wound closure rate between treatment groups was not found to be significantly different with most comparisons. Statistical significance was seen, however, when normalized closure rates between membrane and control intervention were compared after outlier analysis (P = .0288).

CONCLUSIONS: Data indicate that ATDA treatment may be beneficial and suggest that further investigation of the efficacy of ATDA to promote wound healing and improve cosmetic outcomes of post-Mohs surgical wounds is warranted. Future studies should be designed to match initial defect size and location between control and treatment groups.

PMID:34237012

Categories
Nevin Manimala Statistics

Public Willingness and Hesitancy to Take the COVID-19 Vaccine in Afghanistan

Am J Trop Med Hyg. 2021 Jul 8:tpmd210231. doi: 10.4269/ajtmh.21-0231. Online ahead of print.

ABSTRACT

COVID-19 has been causing a global threat to almost all countries for more than one year. Vaccination of the majority of any country’s population is considered to be an effective way of controlling the spread and mortality of this infection. Therefore, it is important to assess the public’s willingness to be vaccinated against COVID-19. In this study, we evaluated the public willingness and hesitancy to take the vaccine in Afghanistan, during December 2020 and January 2021. Sociodemographic data, awareness on vaccine production, vaccine availability, willingness and hesitancy to take the COVID-19 vaccine were collected. The Statistical Package for Social Studies (SPSS) version 25 was used for data analysis. A total of 806 complete responses were received. Majority of the respondents were ≤ 40 years old (89.8%) and male (72.7%). Less than two-thirds (509; 63%) of the participants reported willingness to take the vaccine when it becomes available, whereas almost one-third (297; 37%) of them were hesitant to take the COVID-19 vaccine. More female than male respondents were willing to take the vaccine (χ2 = 13.176, P value = 0.001). A significant portion of the public were not willing to take the COVID-19 vaccine. In a country like Afghanistan, which already has a low coverage of vaccination, this could pose a challenge for the vaccination program against COVID-19 to be effective. The Ministry of Public Health should work on public trust and change people’s mindset about vaccine reality and efficacy to prevent the rejection of this health intervention.

PMID:34237016 | DOI:10.4269/ajtmh.21-0231

Categories
Nevin Manimala Statistics

Orthostatic Intolerance in Post-Concussion Patients

Phys Sportsmed. 2021 Jul 8. doi: 10.1080/00913847.2021.1953357. Online ahead of print.

ABSTRACT

BACKGROUND: Orthostatic intolerance (OI) following pediatric concussion is not well understood. Assessing the prevalence of concussion-related OI and how it compares to non-concussion-related OI will improve care for patients suffering with these symptoms.

OBJECTIVE: We set out to describe concussion related OI in adolescence, with particular emphasis on time to recovery and differences from non-concussion related OI (including male vs. female prevalence).

METHODS: Retrospective chart reviews were completed on post-concussion patients endorsing symptoms of OI. The patients’ sex, sport history, previous concussions, time since injury, and recovery time were analyzed and compared between males and females as well as against general OI statistics.

RESULTS: 39 pediatric patients, representing 8.7% of all new patients referred to a specialized concussion clinic over a 13-month interval, were included in the chart review. Mean age of onset was 15.0±2.5 years and 18 (46%) were males. The median times from evaluation to symptoms resolution was 120 days. Of 18 patients who completed head up tilt table testing, 17 (94%) had orthostatic tachycardic response (>40 bpm heart rate increment).

CONCLUSION: Post-concussive OI differs from other orthostatic intolerance etiologies, lacking a strong female predominance and exhibiting a shorter time course to recovery compared to other etiologies of OI (but longer recovery time compared to concussion patients in general). Clinical orthostatic vital signs may not be sensitive for diagnosing orthostatic intolerance in athletes, likely due to higher vagal tone and more efficient skeletal muscle pump.

PMID:34236936 | DOI:10.1080/00913847.2021.1953357

Categories
Nevin Manimala Statistics

Severity and form of temporomandibular disorder symptoms: Functional, physical, and psychosocial impacts

Cranio. 2021 Jul 8:1-8. doi: 10.1080/08869634.2021.1950336. Online ahead of print.

ABSTRACT

OBJECTIVE: The associations between the presence of differing severity/form of temporomandibular disorder (TMD) symptoms and oral health-related quality of life (OHRQoL) were explored.

METHODS: The severity and form of TMDs in young adults were categorized based on the Fonseca Anamnestic Index (FAI) and Diagnostic Criteria for TMDs (DC/TMD), and OHRQoL was assessed with the Oral Health Impact Profile-14 (OHIP-14). Data were analyzed using non-parametric statistics (α = 0.05).

RESULTS: The study cohort consisted of 501 young adults (mean age 19.7 ± 1.3 years; 75.2% women). Participants with severe/moderate TMDs had significantly higher OHIP severity scores than those with mild/no TMDs. Moreover, participants with combined/pain-related symptoms exhibited significantly higher severity scores compared to those without symptoms. The physical pain and psychological discomfort domains were typically more impaired regardless of severity/form of TMD symptoms.

CONCLUSION: More severe and painful symptoms were related to greater impairments in OHRQoL, especially in the physical and psychological domains.

PMID:34236942 | DOI:10.1080/08869634.2021.1950336

Categories
Nevin Manimala Statistics

Using a Real-Time Locating System to Evaluate the Impact of Telemedicine in an Emergency Department During COVID-19: Observational Study

J Med Internet Res. 2021 Jun 13. doi: 10.2196/29240. Online ahead of print.

ABSTRACT

BACKGROUND: Telemedicine has been deployed by healthcare systems in response to the COVID-19 pandemic to enable healthcare workers to provide remote care for both outpatients and inpatients. Although it is reasonable to suspect telemedicine visits limit unnecessary personal contact and thus decrease the risk of infection transmission, the impact of the use of such technology on clinician workflows in the emergency department is unknown.

OBJECTIVE: To use real-time locating systems (RTLS) to evaluate the impact of a new telemedicine platform, which permitted clinicians located outside patient rooms to interact with patients who were under isolation precautions in the emergency department, on in-person interaction between healthcare workers and patients.

METHODS: A pre-post analysis was conducted using a badge-based RTLS platform to collect movement data including entrances and duration of stay within patient rooms of the emergency department for nursing and physician staff. Movement data was captured between March 2nd, 2020, the date of the first patient screened for COVID-19 in the emergency department, and April 20th, 2020. A new telemedicine platform was deployed on March 29th, 2020. Number of entrances and duration of in-person interactions per patient encounter, adjusted for patient length of stay, were obtained for pre- and post-implementation phases and compared with t-tests to determine statistical significance.

RESULTS: There were 15,741 RTLS events linked to 2,662 encounters for patients screened for COVID-19. There was no significant change in number of in-person interactions between the pre- and post-implementation phases for both nurses (5.7 vs 7.0 entrances per patient, p=0.07) and physicians (1.3 vs 1.5 entrances per patient, p=0.12). Total duration of in-person interaction did not change (56.4 vs 55.2 minutes per patient, p=0.74) despite significant increases in telemedicine videoconference frequency (0.6 vs 1.3 videoconferences per patient, p<0.01 for change in daily average) and duration (4.3 vs 12.3 minutes per patient, p<0.01 for change in daily average).

CONCLUSIONS: Telemedicine was rapidly adopted with the intent of minimizing pathogen exposure to healthcare workers during the COVID-19 pandemic, yet RTLS movement data did not reveal significant changes for in-person interactions between staff and patients under investigation for COVID-19 infection. Additional research is needed to better understand how telemedicine technology may be better incorporated into emergency departments to improve workflows for frontline healthcare clinicians.

PMID:34236993 | DOI:10.2196/29240