Category: Nevin Manimala

J Natl Cancer Inst. 2023 Mar 13:djad044. doi: 10.1093/jnci/djad044. Online ahead of print.

ABSTRACT

BACKGROUND: We examined adverse birth outcomes among adolescent and young adult women diagnosed with cancer (AYA women, ages 15-39 years) during pregnancy.

METHODS: We linked data from the Texas Cancer Registry, vital records, and Texas Birth Defects Registry to identify all singleton births to AYA women diagnosed during pregnancy from January 1999 to December 2016. We compared prevalence of adverse live birth outcomes between AYA women and women without cancer (matched 1:4 on age, race and ethnicity, and year). Among AYA women, we used log-binomial regression to identify factors associated with these outcomes. Statistical tests were 2-sided.

RESULTS: AYA women had 1,271 singleton live births and 20 stillbirths. AYA women (n=1,291) were 33.3% Hispanic and 9.8% non-Hispanic Black and most commonly had breast (22.5%), thyroid (19.8%), and gynecologic (13.3%) cancers. Among live births, AYA women had a higher prevalence of low birth weight offspring (30.1% vs. 9.0%), very preterm (5.7% vs. 1.2%) and preterm birth (25.1% vs. 7.2%), cesarean delivery (44.3% vs. 35.2%), and low Apgar score (2.7% vs. 1.5%), compared to women without cancer (n=5,084) (all p<0.05). Prevalence of any birth defect by age 12 months did not statistically differ (5.2% vs. 4.7%, p=0.48), but live births to AYA women more often had heart and circulatory system defects (2.2% vs. 1.3%, p=0.01). In adjusted models, cancer type and chemotherapy were associated with adverse live birth outcomes.

CONCLUSIONS: AYA women diagnosed during pregnancy have higher prevalence of adverse birth outcomes and face difficult decisions in balancing treatment risks and benefits.

PMID:36912709 | DOI:10.1093/jnci/djad044

J Cosmet Dermatol. 2023 Mar 13. doi: 10.1111/jocd.15716. Online ahead of print.

ABSTRACT

BACKGROUND: Patients with androgenetic alopecia experience a significant decrease in self-esteem and quality of life. There are several methods by which these factors may be improved.

AIMS: Determining whether patients feel better about themselves with a better quality of life after undergoing hair transplant procedure.

PATIENTS/METHODS: 35 people were chosen from Jordan Skin and Hair Clinic in Tehran, Iran. Following hair transplant, follow-up subjects had their quality of life and level of self-esteem assessed using the Rosenberg Self-Esteem Scale (RSES) and Dermatology Life Quality Index (DLQI), respectively. The means of quantitative results were compared using paired T-test. The chi-square test was done to compare preoperative and postoperative characteristics qualitatively. Differences were regarded significant if p < 0.05. Analysis of covariance was applied to evaluate the effect of marital status and educational level on outcome variables (ANCOVA).

RESULTS: Our findings showed a statistically significant difference (p < 0.001) between pre- and post-operative hair transplantation for quality of life, and mean score increased to 2.17. There was a statistically significant difference between the two groups, with an average self-esteem score on RSES rising to 5.35 (p < 0.001). A statistically significant link between educational achievement and quality of life was found (p < 0.001).

CONCLUSION: This study found postoperative psychological aspects of AGA patients significantly improve than preoperative. Our results show that there is a statistically significant difference between the self-esteem and quality of life of AGA patients before and after hair restoration surgery.

PMID:36912697 | DOI:10.1111/jocd.15716

J Orthop Res. 2023 Mar 13. doi: 10.1002/jor.25547. Online ahead of print.

ABSTRACT

The assessment of three-dimensional (3D) bony defects is important to inform the surgical planning of hip reconstruction. Mirroring of the contralateral side has been previously used to measure the hip centre of rotation (CoR). However, the contralateral side may not be useful when diseased or replaced. Statistical Shape Models (SSMs) can aid reconstruction of patient anatomy. Previous studies have been limited to computational models only or small patient cohorts. We used SSM as a tool to help derive landmarks that are often absent in hip joints of patients with large acetabular defects. Our aim was to compare the reconstructed pelvis with patients who have previously undergone hip revision. This retrospective cohort study involved 38 patients with Paprosky type IIIB defects. An SSM was built on 50 healthy pelvises and used to virtually reconstruct the native pelvic morphology for all cases. The outcome measures were the difference in CoR for 1) SSM vs diseased hip, 2) SSM vs plan and 3) SSM vs contralateral healthy hip. The median differences in CoR were 31.17 mm (IQ: 43.80 – 19.87 mm), 8.53 mm (IQ: 12.76 – 5.74 mm) and 7.84 mm (IQ: 10.13 – 5.13 mm), respectively. No statistical difference (p > 0.05) was found between the SSM vs plan and the SSM vs contralateral CoRs. Our findings show that the SSM model can be used to reconstruct the absent bony landmarks of patients with significant lysis regardless of the defect severity, hence aiding the surgical planning of hip reconstruction and implant design. This article is protected by copyright. All rights reserved.

PMID:36912127 | DOI:10.1002/jor.25547

Nucleic Acids Res. 2023 Mar 13:gkad157. doi: 10.1093/nar/gkad157. Online ahead of print.

ABSTRACT

Multimodal single-cell omics technologies enable multiple molecular programs to be simultaneously profiled at a global scale in individual cells, creating opportunities to study biological systems at a resolution that was previously inaccessible. However, the analysis of multimodal single-cell omics data is challenging due to the lack of methods that can integrate across multiple data modalities generated from such technologies. Here, we present Matilda, a multi-task learning method for integrative analysis of multimodal single-cell omics data. By leveraging the interrelationship among tasks, Matilda learns to perform data simulation, dimension reduction, cell type classification, and feature selection in a single unified framework. We compare Matilda with other state-of-the-art methods on datasets generated from some of the most popular multimodal single-cell omics technologies. Our results demonstrate the utility of Matilda for addressing multiple key tasks on integrative multimodal single-cell omics data analysis. Matilda is implemented in Pytorch and is freely available from https://github.com/PYangLab/Matilda.

PMID:36912104 | DOI:10.1093/nar/gkad157

Work. 2023 Mar 8. doi: 10.3233/WOR-220482. Online ahead of print.

ABSTRACT

BACKGROUND: Neck pain (NP) is associated with high disability rates among healthcare workers.

OBJECTIVE: To determine the potential risk factors associated with disability due to NP among healthcare staff working in primary care settings.

METHODS: This 30-day prospective cross-sectional study involved a survey of 63 healthcare personnel (55 women and 8 men aged 45.30±12.34 years) of two primary healthcare centers in Serbia, who completed a general questionnaire developed for this purpose along with the Neck Disability Index (NDI), whereby the potential predictors of NP-related disability were assessed using the statistical package SPSS ver. 24.

RESULTS: Female healthcare workers achieved a higher score on the NDI scale (Me = 8.00, p < 0.05), as did older respondents (r = 0.260, p < 0.05), those with longer work experience (r = 0.323, p < 0.05), and those that wear prescription glasses (Me = 9.00, p < 0.01). Higher NDI scores were also achieved by respondents that suffered from neck pain at the time of the study (Me = 12.50, p < 0.001), especially if they relied on pain medication (Me = 13.00, p < 0.05), and topical analgesic creams (Me = 12.50, p < 0.05) for treating neck pain.

CONCLUSION: Female sex, older age, greater work experience, current neck pain, use of pain-relieving medications and creams, and need for prescription glasses to correct vision increase the risk of disability due to pain in the cervical spine among healthcare workers.

PMID:36911959 | DOI:10.3233/WOR-220482

J Vestib Res. 2023 Mar 4. doi: 10.3233/VES-220107. Online ahead of print.

ABSTRACT

OBJECTIVE: The purpose of this study was to determine the extent to which sensory integration strategies via head sway, derived from a Head-Mounted Display (HMD), change in people with vestibular disorders following vestibular rehabilitation.

DESIGN: Randomized Controlled TrialSetting:Vestibular Rehabilitation ClinicParticipants:Thirty participants with vestibular dysfunction and 21 age-matched controls.

MAIN OUTCOME MEASURES: Participants experienced two levels of visual surround (static or moving ‘stars’, front to back at 0.2 Hz, 32 mm) and white noise (none or rhythmic) while their head sway was recorded via the HTC Vive. We quantified head sway via Directional Path (DP) and Root Mean Square Velocity (RMSV) in 5 directions: anterior-posterior, medio-lateral, pitch, yaw, and roll and Power Spectral Density in low (PSD 1), medium (PSD 2) and high (PSD 3) frequencies in the anterior-posterior direction.

INTERVENTIONS: Participants performed the assessment prior to being randomized into 8-weeks of contextual sensory integration training in virtual reality or traditional vestibular rehabilitation and once again following completion of the intervention. Controls performed the assessment once. Twelve participants dropped out, half due to covid lock-down. We applied an intention to treat analysis.

RESULTS: We observed significant increases in AP DP, RMSV and all PSDs with change in visual level. Both intervention groups significantly decreased medio-lateral, pitch and roll DP and RMSV and anterior-posterior PSD 2 with no group differences. Vestibular participants were significantly higher than controls on all outcomes pre rehabilitation. Post rehabilitation they were only significantly higher on PSD 2. Sound was not a significant predictor of head sway in this protocol.

CONCLUSIONS: Head sway decreased following vestibular rehabilitation regardless of visual load or type of intervention applied. This change was measured via head kinematics derived from a portable HMD which can serve as a sensitive in-clinic assessment for tracking improvement over time.

PMID:36911951 | DOI:10.3233/VES-220107

Clin Hemorheol Microcirc. 2023 Mar 8. doi: 10.3233/CH-221444. Online ahead of print.

ABSTRACT

OBJECTIVE: To investigate the effects of hydrocortisone combined with vitamin C and vitamin B1 versus hydrocortisone on sublingual microcirculation in septic shock patients.

METHODS: This pilot study enrolled septic shock patients admitted to the ICU of a tertiary teaching hospital from February 2019 to January 2020. We randomly assigned the enrolled patients to the treatment group (hydrocortisone combined with vitamin C and vitamin B1 added to standard care) and the control group (hydrocortisone alone added to standard care) in a 1 : 1 ratio. The primary outcome was perfused small vascular density (sPVD) monitored by a sublingual microcirculation imaging system at 24 hours after treatment.

RESULTS: Twelve patients in the treatment group and ten in the control group completed the study. The baseline characteristics were comparable between the groups. No statistically significant difference was found in the sPVD between the groups at baseline. The sPVD in the treatment group was significantly higher than that in the control group at 4 hours after treatment (mean difference, 7.042; 95% CI, 2.227-11.857; P = 0.009) and 24 hours after treatment (mean difference, 7.075; 95% CI, 2.390-11.759; P = 0.008).

CONCLUSIONS: Compared with hydrocortisone, hydrocortisone combined with vitamin C and vitamin B1 significantly improves microcirculation in septic shock patients.

PMID:36911931 | DOI:10.3233/CH-221444

Breast Dis. 2023;42(1):45-58. doi: 10.3233/BD-220026.

ABSTRACT

BACKGROUND: Multiple lines of evidence suggest that single nucleotide polymorphisms (SNPs) in genes encoding components of the microRNA processing machinery may underlie susceptibility to various human diseases, including cancer.

OBJECTIVE: The present study aimed to investigate whether rs6877842, rs642321 and rs10719 SNPs of DROSHA, a key component of the miRNA biogenesis pathway, are associated with increased risk of breast cancer.

METHODS: A total of 100 patients diagnosed with breast cancer and 100 healthy women were included. Following extraction of DNA, genotyping was performed by tetra primer- amplification refractory mutation system-PCR (T-ARMS-PCR) technique. Under the co-dominant, dominant and recessive inheritance models, the association between DROSHA SNPs and breast cancer risk was determined by logistic regression analysis. The association of DROSHA SNPs with patients’ clinicopathological parameters was assessed. Also, haplotype analysis was performed to evaluate the combined effect of DROSHA SNPs on breast cancer risk.

RESULTS: We observed a statistically significant association between DROSHA rs642321 polymorphism and breast cancer susceptibility (P < 0.05). Under the dominant inheritance model, DROSHA rs642321 polymorphism was significantly associated with increased risk of breast cancer (OR: 6.091; 95% CI: 3.291-11.26; P = 0.0001). Our findings demonstrated that DROSHA rs642321 T allele can contribute to the development of breast cancer (OR: 3.125; 95% CI: 1.984-4.923; P = 0.0001). We also found that GTC and GTT haplotypes conferred significant risk for breast cancer (OR: 2.367; 95% CI: 1.453-3.856; P = 0.0001 and OR: 7.944; 95% CI: 2.073-30.43; P = 0.0001, respectively).

CONCLUSIONS: These results provide the first evidence that DROSHA rs642321 polymorphism is associated with increased risk of breast cancer. However, further studies are needed to firmly validate these findings.

PMID:36911928 | DOI:10.3233/BD-220026

Cardiol Young. 2023 Mar 13:1-7. doi: 10.1017/S1047951123000264. Online ahead of print.

ABSTRACT

Prolonged pleural effusion is a fairly common condition which has considerable impact on complicated and longer hospital stays after Fontan surgery. Identifying the patient population prone to have pleural effusions is still seeking for an answer. This study is to determine the variables that may predict prolonged pleural effusion according to the data of 69 patients who underwent Fontan operation between June 2018 and December 2020 and survived to date. Prolonged pleural effusion was defined as the need for a chest tube for more than 7 days. Two patient groups, with and without prolonged effusion, were compared in terms of pre-, peri-, and post-operative variables. The patients were subdivided into “high-risk” and “low-risk” groups based on the pre-operative catheterisation data. The most frequent main diagnosis was tricuspid atresia (n: 13, 19%). Among 69 patients, 28 (40%) had prolonged pleural effusion whereas 11 (16%) had effusions that lasted longer than 14 days. Ten patients among prolonged effusion group (35%) had pulmonary atresia coexistent with the main diagnosis. Fontan operation was performed in 6 patients (8.7%) over the age of 10, and 4 of these patients (67%) had prolonged pleural effusion. Among numerous variables, statistical significance between the two groups was achieved in pre-operative mean pulmonary artery pressure, post-operative albumin, C-reactive protein levels, length of hospital stay, duration of chest tube drainage, and amount of effusion per day. Early recognition and treatment strategies with routine medical protocol use remain to be the cornerstone for the management of post-operative prolonged pleural effusions after Fontan surgery.

PMID:36911913 | DOI:10.1017/S1047951123000264

Hosp Pediatr. 2023 Mar 13:e2021006471. doi: 10.1542/hpeds.2021-006471. Online ahead of print.

ABSTRACT

BACKGROUND AND OBJECTIVES: Inequities in pediatric illness include unequal treatment and outcomes for children of historically marginalized races/ethnicities. Length of stay (LOS) is used to assess health care quality and is associated with higher costs/complications. Studies show LOS disparities for Black and Hispanic children in specific diagnoses, but it is unclear how broadly they exist or how they change over time. We examined the association between race/ethnicity and LOS longitudinally for the most common pediatric inpatient diagnoses.

METHODS: We used the 2016 and 2019 Kids’ Inpatient Databases. The 10 most frequent diagnoses in 2016 were determined. For each diagnosis in each year, we assessed the association between race and LOS by fitting a generalized linear mixed effects model with a negative binomial distribution, accounting for clustering and confounding. Using descriptive statistics, we compared associations between the 2 years for trends over time.

RESULTS: Our analysis included >450 000 admissions and revealed significantly longer LOS for Black, Hispanic, and/or Asian American or Pacific Islander, Native American, and other children in 8 of the 10 diagnoses in 2016, with mixed changes over time. Three new disparities emerged in 2019. The largest disparities were for Black children in most diagnoses.

CONCLUSIONS: Kids’ Inpatient Database data showed longer LOS for children of historically marginalized race/ethnicity with common pediatric inpatient diagnoses, which largely persisted from 2016 to 2019. There is no plausible biological explanation for these findings, and inequities in social needs, access to care, and quality of care likely contribute. Future directions include further study to understand and address contributing factors.

PMID:36911912 | DOI:10.1542/hpeds.2021-006471