Category: Nevin Manimala

Sci Rep. 2023 Feb 7;13(1):2205. doi: 10.1038/s41598-023-29028-7.

ABSTRACT

Cardiac magnetic resonance (CMR) examinations require standardization to achieve reproducible results. Therefore, quality control as known as in other industries such as in-vitro diagnostics, could be of essential value. One such method is the statistical detection of long-time drifts of clinically relevant measurements. Starting in 2010, reports from all CMR examinations of a high-volume center were stored in a hospital information system. Quantitative parameters of the left ventricle were analyzed over time with moving averages of different window sizes. Influencing factors on the acquisition and on the downstream analysis were captured. 26,902 patient examinations were exported from the clinical information system. The moving median was compared to predefined tolerance ranges, which revealed an overall of 50 potential quality relevant changes (“alerts”) in SV, EDV and LVM. Potential causes such as change of staff, scanner relocation and software changes were found not to be causal of the alerts. No other influencing factors were identified retrospectively. Statistical quality assurance systems based on moving average control charts may provide an important step towards reliability of quantitative CMR. A prospective evaluation is needed for the effective root cause analysis of quality relevant alerts.

PMID:36750647 | DOI:10.1038/s41598-023-29028-7

Sci Rep. 2023 Feb 7;13(1):2141. doi: 10.1038/s41598-023-28866-9.

ABSTRACT

Unplanned track inspections can be a direct consequence of any disruption to the operation of on-board track geometry monitoring activities. A novel response strategy to enhance the value of the information for supplementary track measurements is thus established to construct a data generation model. In this model, artificial (synthetic) data is assigned on each measurement point along the affected track segment over a short period of time. To effectively generate artificial track measurement data, this study proposes a NARX (nonlinear autoregressive with exogenous variables) model, which incorporates short-range memory dependencies in the dependent variable and integrates interdependent effects from external factors. Nonlinearities in the proposed model have been determined using an artificial neural network that allowed fast computation of a mapping function in line with the needs of effective disruption management. The risk of over fitting the data generation model, which reflected its generalisation ability, has been effectively managed through risk aversion concept. For the model evaluation, the deviation of track longitudinal level has been taken as a case study, predicted using its degradation rate and track alignment and gauge as exogenous variables. Simulation results on two datasets that are statistically different showed that the data generation model for disrupted track measurements is reliable, accurate, and easy-to-use. This novel model is an essential breakthrough in railway track integrity prediction and resilient operation management.

PMID:36750640 | DOI:10.1038/s41598-023-28866-9

Sci Rep. 2023 Feb 7;13(1):2161. doi: 10.1038/s41598-023-28453-y.

ABSTRACT

With a long epidemic history and a large number of dengue cases, Guangzhou is a key city for controlling dengue in China. The demographic information regarding dengue cases, and the genomic characteristics of the envelope gene of dengue viruses, as well as the associations between these factors were investigated from 2010 to 2019, to improve the understanding of the epidemiology of dengue in Guangzhou. Demographic data on 44,385 dengue cases reported to the Notifiable Infectious Disease Report System were analyzed using IBM SPSS Statistics v. 20. Dengue virus isolates from patient sera were sequenced, and phylogenetic trees were constructed using PhyML 3.1. There was no statistical difference in the risk of dengue infection between males and females. Unlike other areas in which dengue is endemic, the infection risk in Guangzhou increased with age. Surveillance identified four serotypes responsible for dengue infections in Guangzhou. Serotype 1 remained prevalent for most of the study period, whereas serotypes 3 and 4 were prevalent in 2012 and 2010, respectively. Different serotypes underwent genotype and sublineage shifts. The epidemiological characteristics and phylogeny of dengue in Guangzhou suggested that although it has circulated in Guangzhou for decades, it has not been endemic in Guangzhou. Meanwhile, shifts in genotypes, rather than in serotypes, might have caused dengue epidemics in Guangzhou.

PMID:36750601 | DOI:10.1038/s41598-023-28453-y

Sci Rep. 2023 Feb 7;13(1):2171. doi: 10.1038/s41598-023-28911-7.

ABSTRACT

Converting left-handers to their non-dominant right hand was previously widespread, particularly for handwriting. The present study aimed to explore the extent to which adult, converted left-handers can learn writing with their dominant left hand during a 2-year training program. Eleven converted left-handers participated in the training. Handwriting kinematics were assessed at regular intervals (seven sessions) and compared to those of 11 innate left-handed controls matched for age, gender, and overall handedness score for basic (Finger, Wrist, Circle) and complex (Sentence, Copy) handwriting tasks. Regarding basic tasks in the training group, we found rapid increases in left and right-hand frequency and no significant differences between both hands at any time point, indicating successful hand transfer. After 24 months, training participants significantly surpassed controls for writing frequency in basic tasks with their left hand. For complex tasks, we identified significant increases in the training groups’ left-hand writing frequency and duration between the first and last session. While training participants’ left-hand writing remained significantly slower than their right-hand writing, statistics confirmed final differences between hands only for the duration of the Sentence task. Importantly, left-hand writing in the training group was characterized by lower frequency, lower automaticity, and prolonged duration after 24 months compared to innate left-handers. With training participants’ left-hand writing skills significantly increasing for complex tasks and no final statistically significant differences between hands for frequency and automaticity, the program was considered effective. Nevertheless, within 2 years, training participants did not reach innate left-handers handwriting proficiency for complex tasks. Underlying reasons may be various, such as a non-optimal training program, a sensitive period for learning to write, irreversible neural changes during conversion in childhood, age-related decline of motor learning capacity, or retrograde interference between right- and left-hand writing.

PMID:36750597 | DOI:10.1038/s41598-023-28911-7

Sci Rep. 2023 Feb 7;13(1):2194. doi: 10.1038/s41598-023-28697-8.

ABSTRACT

The COVID-19 Vaccines Global Access (COVAX) is a World Health Organization (WHO) initiative that aims for an equitable access of COVID-19 vaccines. Despite potential heterogeneous infection levels across a country, countries receiving allotments of vaccines may follow WHO’s allocation guidelines and distribute vaccines based on a jurisdictions’ relative population size. Utilizing economic-epidemiological modeling, we benchmark the performance of this pro rata allocation rule by comparing it to an optimal one that minimizes the economic damages and expenditures over time, including a penalty representing the social costs of deviating from the pro rata strategy. The pro rata rule performs better when the duration of naturally- and vaccine-acquired immunity is short, when there is population mixing, when the supply of vaccine is high, and when there is minimal heterogeneity in demographics. Despite behavioral and epidemiological uncertainty diminishing the performance of the optimal allocation, it generally outperforms the pro rata vaccine distribution rule.

PMID:36750592 | DOI:10.1038/s41598-023-28697-8

Eye (Lond). 2023 Feb 7. doi: 10.1038/s41433-023-02421-2. Online ahead of print.

ABSTRACT

OBJECTIVES: To determine the baseline risk factors for elective ophthalmic surgery cancellations and characterise the reasons for cancellation.

METHODS: This is a retrospective, non-randomised study performed at a large tertiary ophthalmic centre. It included a consecutive sample of patients above the age of 18 who had an ophthalmic surgery scheduled at Cole Eye Institute, Cleveland Clinic, OH between January 2012 and December 2019. An automated search pull identified 75,908 scheduled surgeries (63,987 completed and 11,921 cancelled surgeries). Statistical analysis was performed using R (version 3.5.1). Main outcome measures were baseline factors that impact risk for surgery cancellation and reasons for surgery cancellation.

RESULTS: Analysis was performed on 69,963 scheduled surgeries (57.37% Female, 42.63% Male; Mean age of 62.72 years; 59,959 completed and 10,004 cancelled surgeries). Of the 2384 cancelled surgeries with reasons provided, the most common causes of cancellation were patient refusal (38.42%), patient health condition (18.79%), and rescheduling of surgery (15.27%). Female sex, black race, patient age less than 50 years, non-cataract surgeries, regional mean household income greater than $82,900, Medicare insurance, and geographical distance of less than 10 miles from home to the surgery site were each associated with a significantly increased risk of surgery cancellation (p < 0.01).

CONCLUSIONS: This study successfully identified several baseline factors predicting elective ophthalmic surgery cancellation. The clinical insights gained from these lines of enquiry may be used to construct models that not only identify patients at greater risk for cancellation but also highlight which interventions have greatest efficacy in preventing ophthalmic surgery cancellations.

PMID:36750587 | DOI:10.1038/s41433-023-02421-2

Spine Deform. 2023 Feb 7. doi: 10.1007/s43390-023-00659-0. Online ahead of print.

ABSTRACT

PURPOSE: The aim of the present study was to evaluate the effectiveness of carbon nanotubes (CNTs)/ HA-tricalcium phosphate (TCP) composite in a posterolateral spinal fusion model.

METHODS: At first, CNTs and CNTs/HA-TCP composites were prepared. Twenty adult male Sprague Dawley rats were randomized into four groups with five rats in each group. Decortication was carried out in standard manner in all animals. Group 1 (only decortication), group 2 (CNTs), group 3 (HA-TCP) and group 4 (CNTs/HA-TCP) were formed. Eight weeks later, all animals were killed and obtained fusion segments were evaluated by manual palpation, histomorphometry and micro-computed tomography (mCT).

RESULTS: In all evaluations, highest fusion values were obtained in Group 4. In mCT investigations, bone volume/ tissue volume (BV/TV) ratio was found to be significantly higher in composite group (group 4) only compared to ceramic group (group 3) (p < 0.001). Although in Group 2, in which only CNTs were used, the ratio was found to be statistically significantly higher than group 1(p < 0.001), the difference was not considered as significant in terms of fusion and in addition in group 2, CNTs were completely surrounded by fibrous tissue, i.e., no bone formation was observed.

CONCLUSIONS: The CNTs/HA-TCP composite is a promising synthetic bone graft substitute for spinal fusion. Although CNTs are inadequate in producing spinal fusion when they are used alone, due to their high biocompatibility due to their high biocompatibility, and multiple effect on bone regeneration, they seem to increase fusion rates significantly when they are used in combination with ceramic-based synthetic grafts.

PMID:36750546 | DOI:10.1007/s43390-023-00659-0

Adv Ther. 2023 Feb 7. doi: 10.1007/s12325-023-02438-9. Online ahead of print.

ABSTRACT

INTRODUCTION: In the absence of head-to-head trials, this study compared treatment outcomes with the C3 complement inhibitor pegcetacoplan versus the C5 complement inhibitor eculizumab or ravulizumab in complement inhibitor-naïve patients with paroxysmal nocturnal hemoglobinuria (PNH).

METHODS: A matching-adjusted indirect comparison was conducted using individual patient data from the pegcetacoplan arm of the PRINCE trial (NCT04085601; n = 34) and aggregate data from the ravulizumab (n = 125) and eculizumab (n = 121) arms of the ALXN1210-PNH-301 trial (NCT03056040). Clinical and quality of life endpoints were evaluated after matching patients in the two trials on baseline characteristics. The weighted Wald test with 95% confidence interval was used to compare categorical and continuous variables (i.e., weighted chi-squared and z tests, respectively). Bias factor analysis was performed to quantify the extent of residual bias from unmeasured confounders.

RESULTS: After weighting, treatment with pegcetacoplan was associated with statistically significant improvements in most clinical endpoints compared with ravulizumab or eculizumab treatment. These included: greater absolute and percent reductions in lactate dehydrogenase (LDH) level and increase in hemoglobin level from baseline; shorter time to first occurrence of LDH normalization; larger proportions of patients achieving hemoglobin stabilization and avoiding transfusion, with fewer packed red blood cell units transfused; and a smaller proportion of patients experiencing breakthrough hemolysis (all p < 0.05). Patients receiving pegcetacoplan also had a greater increase in general health status score from baseline compared with those receiving C5 complement inhibitors.

CONCLUSION: Pegcetacoplan provides clinical benefits as first-line treatment for complement inhibitor-naïve patients with PNH.

TRIAL REGISTRATION: ClinicalTrials.gov identifier, NCT04085601.

PMID:36750531 | DOI:10.1007/s12325-023-02438-9

Hum Nat. 2023 Feb 8. doi: 10.1007/s12110-023-09440-8. Online ahead of print.

ABSTRACT

Support from grandparents plays a role in mothers’ perinatal mental health. However, previous research on maternal mental health has mainly focused on influences of partner support or general social support and neglected the roles of grandparents. In this narrative review and meta-analysis, the scientific evidence on the association between grandparental support and maternal perinatal mental health is reviewed. Searches in PubMed, EMBASE, MEDLINE, Scopus, and PsycINFO yielded 11 empirical studies on N = 3381 participants, reporting on 35 effect sizes. A multilevel approach to meta-analysis was applied to test the association between grandparental support and maternal mental health. The results showed a small, statistically significant association (r = .16; 95% CI: 0.09-0.25). A moderator test indicated that the association was stronger for studies reporting on support from the maternal grandmother in particular (r = .23; 95% CI: 0.06-0.29). Our findings suggest that involved grandparents, in particular mother’s own mother, constitute a protective factor for the development of maternal postpartum mental health problems. These findings have clear implications for interventions. Future studies should examine whether stimulating high-quality support from grandparents is a fruitful avenue for enhancing maternal postpartum mental health.

PMID:36750511 | DOI:10.1007/s12110-023-09440-8

Ann Hematol. 2023 Feb 7. doi: 10.1007/s00277-023-05122-8. Online ahead of print.

ABSTRACT

Severe bleeding is the leading cause of early death in patients with newly diagnosed acute promyelocytic leukemia (APL). However, there are no means for hemorrhagic risk stratification in APL. This study aimed to identify optimized predictors of severe bleeding events related to APL. A total of 109 consecutive patients with newly diagnosed APL from January 2015 to April 2022 were retrospectively investigated. A systematic review of computer-based patient medical records was conducted to obtain clinical date, including baseline characteristics, routine blood examination findings, coagulation and fibrinolysis indexes, and bleeding events. Among the 109 patients, 89 were classified into the no-severe bleeding group, while 20 had severe bleeding. Compared with the patients with no severe bleeding, the patients with severe bleeding had significantly higher circulating leukemic cell percentages, disseminated intravascular coagulation (DIC) scores, D-dimer (D-D) levels, and fibrin degradation product (FDP) levels. They also had lower fibrinogen (FIB) levels and a longer prothrombin time. Multivariate analysis revealed that the circulating leukemic cell percentage (OR = 1.040, CI = 1.008-1.072, P = 0.012), FIB level (OR = 0.101, CI = 0.011-0.896, P = 0.040), and FDP level (OR = 1.012, CI = 1.000-1.024, P = 0.047) were independent risk factors for severe bleeding. FDP/FIB, D-D/FIB, and seven meaningful indicators in the single-factor analysis were included in the receiver operating characteristic (ROC) curve analysis. The results showed that FDP/FIB was the best indicator for predicting severe bleeding related to newly diagnosed APL. The area under the ROC curve of FDP/FIB was 0.915, and the best cutoff value was 61.77, with 100% sensitivity and 74.2% specificity. Statistical analysis showed a higher incidence of severe bleeding and higher DIC scores when FDP/FIB was >61.77 in APL patients. FDP/FIB has obvious advantages in predicting the degree of bleeding associated with primary promyelocytic leukemia; the greater the FDP/FIB value, the more severe the bleeding. The risk of severe bleeding was the highest when FDP/FIB > 61.77.

PMID:36750485 | DOI:10.1007/s00277-023-05122-8