Tag: statistics

Support Care Cancer. 2022 Jul 30. doi: 10.1007/s00520-022-07289-8. Online ahead of print.

ABSTRACT

BACKGROUND: Breast cancer (BC) patients face various physical and psychological challenges. The mutual impacts of patients and caregivers on each other show the need for further supportive care from the community and family. This study aimed to identify the predictors of the direct and indirect relationships of the duration of cancer (CANCERT) and care time (CARET) with the supportive care needs (SCN) of the patients and the quality of life (QOL) of their family caregivers.

METHODS: This descriptive study included 150 patients and their caregivers in Iran. Data were collected using the Supportive Care Needs Survey-Short Form (SCNS-SF34), the Caregiver Quality of Life Index-Cancer (CQOLC) scale, and a socio-demographic checklist. The data were then analyzed in SPSS-24 and Lisrel-8.8 software using descriptive statistics and path analysis.

RESULTS: The mean age of the patients and caregivers was 45.76 ± 10.44 and 43.46 ± 9.5, respectively. The majority of patients (96%) were in stages II and III of the disease. There was no statistically significant relationship between cancer stages with SCN of the patients and also caregivers’ QOL (P > 0.05). Based on the test results, the CANCERT was positively correlated with the patients’ care and support needs (SN) in total effect (β = 0.24). The patients’ sexuality needs had the highest negative correlation with their CANCERT in the direct path (β = – 0.27) and had the highest negative correlation with psychological needs in the indirect path (β = – 0.174). The CARET (hours per day) had positive correlation with health systems and information needs in both the direct (β = 0.26) and indirect paths (β = 0.15). The highest positive correlation with physical needs was in the direct path (β = 0.34). The caregivers’ QOL had a negative and direct relationship with the CANCERT (β = – 0.19), and there was a positive and direct relationship between CARET and the caregivers’ QOL (β = 0.18).

CONCLUSIONS: The correlations obtained from this study are not necessarily strong, yet they are important and should be noticed and tested in the future studies. The present findings reveal the need to provide comprehensive care, planning to provide supportive care, and counseling to both BC patients and their family caregivers, especially when the duration of the disease is prolonged.

PMID:35908140 | DOI:10.1007/s00520-022-07289-8

Prog Orthod. 2022 Jul 31;23(1):25. doi: 10.1186/s40510-022-00420-9.

ABSTRACT

BACKGROUND: Estimating skeletal maturation and growth potential is essential for developing adolescents’ best orthodontic treatment plan. The purpose of this study was to compare the duration of adolescent growth peak in subjects of skeletal classes I and III using the cervical vertebral maturation (CVM) method.

METHODS: This retrospective cross-sectional study included 116 Iranian subjects (skeletal class I = 68, skeletal class III = 48) aged 8-16 years old and without previous orthodontic treatments. Using Steiner and Wits analyses, two independent examiners traced pre-treatment lateral cephalograms to determine the subjects’ skeletal relationship. The skeletal maturation was then assessed using Baccetti’s CVM method. The onset and duration of adolescent growth peak (interval of CS3-CS4) were compared between two skeletal classes and two genders using independent samples t test.

RESULTS: In skeletal class I and III subjects, the adolescent peak had a mean duration of 1.62 (± 1.33) and 2.00 (± 1.27) years, respectively. The average difference of 0.38 years (4.6 months) between the two groups was statistically significant (p < 0.001). Furthermore, the onset age of adolescent growth peak was 11.91 (± 1.32) and 12.08 (± 1.31) years old in class I and III subjects, respectively. This age difference was not statistically significant (p = 0.630). Males’ adolescent growth peak occurred 1.44 years later (p < 0.001) and lasted 0.20 years less (p < 0.001).

CONCLUSIONS: The adolescent growth peak started at a similar age in class I and III subjects, but the latter experienced the peak for 4.6 months longer. Moreover, females had an earlier and more extended adolescent growth peak.

PMID:35908119 | DOI:10.1186/s40510-022-00420-9

Knee Surg Sports Traumatol Arthrosc. 2022 Jul 30. doi: 10.1007/s00167-022-07052-w. Online ahead of print.

ABSTRACT

PURPOSE: The recovery of strength is a key element in successfully returning to sports after ACL reconstruction. The type of anaesthesia has been suspected an influential factor in the post-operative recovery of muscle function.

METHODS: In this retrospective analysis, n = 442 consecutive patients undergoing primary isolated ACL reconstruction using a hamstring autograft were analysed by pre- and post-operative isokinetic tests in a single orthopaedic centre. These were subdivided into four cohorts: (1) general anaesthesia (n = 47), (2) general anaesthesia with prolonged (48 h) on-demand femoral nerve block (n = 37), (3) spinal anaesthesia (n = 169) and (4) spinal anaesthesia with prolonged (48 h) on-demand femoral nerve block (n = 185). Primary outcome was the change from pre- to post-operative isokinetic strength during knee extension and flexion.

RESULTS: Using one-way ANOVA, there was no significant influence of the type of anaesthesia. The main effect of anaesthesia on change in extension forces was not significant, and effect sizes were very small (n.s.). Similarly, the main effect of anaesthesia on change in flexion forces was statistically not significant (n.s.).

CONCLUSIONS: The findings of this study support the interpretation that the type of anaesthesia has no significant effect on the ability to recover thigh muscle strength 6 months after isolated hamstring ACL reconstruction. With regard to the recovery of athletic performance and return-to-sports testing criteria, there is no reason to avoid regional anaesthesia.

LEVEL OF EVIDENCE: III.

PMID:35908113 | DOI:10.1007/s00167-022-07052-w

Biomech Model Mechanobiol. 2022 Jul 30. doi: 10.1007/s10237-022-01618-w. Online ahead of print.

ABSTRACT

In this study, the biomechanical role of intraluminal thrombus (ILT) in an abdominal aortic aneurysm (AAA) is investigated. The implications of ILT in AAA are controversial in literature. Previous studies have demonstrated that ILT provides a biomechanical advantage by decreasing wall stress, whereas other studies have associated ILT with inhibiting oxygen transport and inducing aortic wall weakening. Therefore, we sought to explore the connection between ILT, mechanical stresses, and oxygen flow in different geometries of patient-specific aneurysms with varying ILT morphologies. The objective is to investigate the extent to which ILT influences the prediction of aneurysmal wall stresses that are associated with rupture, as well as oxygen concentrations to measure tissue oxygen deprivation. Three patient-specific AAA geometries are considered, and two models, one with ILT and one without ILT, are created for each patient to assess the effect of ILT presence. A fluid-structure interaction approach is used to couple the blood flow, wall deformation, and oxygen mass transport. Results are presented for hemodynamics patterns, wall stress measures, and oxygen metrics within the arterial wall. While ILT is found to reduce wall stress, simulations confirm that ILT decreases oxygen transport within the tissue significantly, leading to wall hypoxia.

PMID:35908098 | DOI:10.1007/s10237-022-01618-w

Skeletal Radiol. 2022 Jul 30. doi: 10.1007/s00256-022-04141-2. Online ahead of print.

ABSTRACT

OBJECTIVE: The effect of diabetes on adhesive capsulitis (AC) and its impact on the outcomes of ultrasound (US)-guided hydrodistension of the glenohumeral joint are still unclear. We aimed to identify predictors of US-guided hydrodistension outcomes, while assessing the performance of the method in diabetic compared to non-diabetic patients.

MATERIALS AND METHODS: A total of 135 patients with AC who underwent US-guided hydrodistension were prospectively included. Demographics and factors linked to chronic inflammation and diabetes were recorded and patients were followed-up for 6 months. Functionality and pain were evaluated with the Disabilities of the Arm, Shoulder and Hand (DASH) and the Visual Analogue Scale (VAS) score. Statistical analysis was performed with Mann-Whitney U test, linear, and binary logistic regression.

RESULTS: Diabetes was identified in 25/135 patients (18.5%). Diabetic patients had worse DASH and VAS score at presentation (P < 0.0001) and presented with a higher grade of AC (P < 0.0001) and lower range of motion (P < 0.01) compared to non-diabetics. Higher DASH (P = 0.025) and VAS scores (P = 0.039) at presentation were linked to worse functionality at 6 months. Presence and duration of diabetes, and the number of hydrodistension repeats, correlated with worse VAS and DASH scores at 6 months. The number of procedure repeats was the only independent predictor of complete pain resolution at 6 months (OR 0.418, P = 003).

CONCLUSION: Diabetes is linked to more severe AC at presentation and worse outcomes in patients undergoing US-guided hydrodistension. In resistant cases, repeating the intervention is independently linked to worse outcomes for at least 6 months post-intervention.

PMID:35908089 | DOI:10.1007/s00256-022-04141-2

Sci Rep. 2022 Jul 30;12(1):13132. doi: 10.1038/s41598-022-17263-3.

ABSTRACT

Evaporation is the primary aspect causing water loss in the hydrological cycle; therefore, water loss must be precisely measured. Evaporation is an intricate nonlinear process occurring as a result of several climatic aspects. The purpose of this research is to assess the feasibility of using Random Forest (RF) and two deep learning techniques, namely convolutional neural network (CNN), and deep neural network (DNN) to accurately estimate monthly pan evaporation rates. Month-based weather data gathered from four Malaysian weather stations during the 2000-2019 timeframe was used to train and evaluate the models. Several input attributes (predictor variables) were investigated to select the most suitable variables for machine learning models. Every approach was tested with several models, each with a different set of model aspects and input parameter combinations. The formulated ML approaches were benchmarked against two commonly used empirical methods: Stephens & Stewart and Thornthwaite. Model outcomes were assessed using standard statistical measures to determine their effectiveness in predicting evaporation. The results indicated that the three ML models developed in the study performed better than empirical models and could significantly improve the precision of monthly Ep estimates even with the identical input sets. The performance assessment metrics also show that the formulated CNN approach was acceptable for modelling monthly water loss due to evaporation with a higher degree of accuracy than other ML frameworks explored in this study. In addition, the CNN framework outperformed other AI techniques evaluated for the same areas using identical data inputs. The investigation’s findings in relation to the various performance criteria show that the proposed CNN model is capable of capturing the highly non-linearity of evaporation and could be regarded as an effective tool to predict evaporation.

PMID:35908080 | DOI:10.1038/s41598-022-17263-3

Ital J Pediatr. 2022 Jul 30;48(1):137. doi: 10.1186/s13052-022-01327-1.

ABSTRACT

BACKGROUND: Considering the destructive effects of malnutrition on the growth, development, and health of children and the importance of identifying the factors affecting it, the present study aimed to investigate the status of anthropometric indices and their relationship with maternal nutritional literacy and selected socio-economic and demographic variables among children under 5 years old.

METHODS: This cross-sectional study was conducted on 405 mothers with children under 5 years old in Urmia, Iran. The data collection tool consisted of two parts. The first part was the demographic and socio-economic information of mother and child and the second part was the Evaluation Instrument of Nutrition Literacy on Adults; EINLA.

RESULTS: There was statistically significant relationship between maternal nutritional literacy with weight-for-age, height-for-age, and weight-for-height indices; between weight-for-age index with maternal education, gestational weight gain, and mean weight, as well as mean height of the mother; between weight-for-age and weight-for-height indices with child gender, type of milk consumed, status of starting complementary foods, and history of acute respiratory infection, as well as diarrhea; and finally between height-for-age with family income status.

CONCLUSIONS: It is suggested that mothers with low nutritional literacy, mothers whose gestational weight gain was not normal, children whose family income is low, boy child, children with a history of disease, children who consume powdered milk and children who have not started complementary foods at the right time be given priority when designing and implementing educational interventions to enhance nutritional status and anthropometric indices of children.

PMID:35908060 | DOI:10.1186/s13052-022-01327-1

Nat Commun. 2022 Jul 30;13(1):4428. doi: 10.1038/s41467-022-32158-7.

ABSTRACT

Cholesterol sulfate, produced by hydroxysteroid sulfotransferase 2B1 (SULT2B1), is highly abundant in the intestine. Herein, we study the functional role and underlying intestinal epithelial repair mechanisms of cholesterol sulfate in ulcerative colitis. The levels of cholesterol and cholesterol sulfate, as well as the expression of Sult2b1 and genes involved in cholesterol biosynthesis, are significantly higher in inflamed tissues from patients with ulcerative colitis than in intestinal mucosa from healthy controls. Cholesterol sulfate in the gut and circulation is mainly catalyzed by intestinal epithelial SULT2B1. Specific deletion of the Sult2b1 gene in the intestinal epithelial cells aggravates dextran sulfate sodium-induced colitis; however, dietary supplementation with cholesterol sulfate ameliorates this effect in acute and chronic ulcerative colitis in mice. Cholesterol sulfate promotes cholesterol biosynthesis by binding to Niemann-Pick type C2 protein and activating sterol regulatory element binding protein 2 in colonic epithelial cells, thereby alleviates ulcerative colitis. In conclusion, cholesterol sulfate contributes to the healing of the mucosal barrier and exhibits therapeutic efficacy against ulcerative colitis in mice.

PMID:35908039 | DOI:10.1038/s41467-022-32158-7

Acta Neurol Belg. 2022 Jul 30. doi: 10.1007/s13760-022-01976-3. Online ahead of print.

ABSTRACT

OBJECTIVE: The purposes were to establish standardized values for the Auditory Verbal Learning Test (AVLT) in the communities of Shijiazhuang city (China), with particular focus on the influences of age, education and sex, and to detect the discriminant validity data of the AVLT in patients with acute ischemic stroke (AIS).

METHODS: 406 Chinese-speaking subjects (age: 50-84 years old) from Shijiazhuang city, were brought into this study. Using linear regression analyses, standardized values were developed for three variables of interest, including scores on short-term memory (sum of AVLT trials 1-3), delayed recall (AVLT trial 4), and an index representing recognition memory corrected for false-positive identifications (AVLT trial 5). 177 patients with AIS were included to probe the discriminant validity of the AVLT.

RESULTS: The linear regression analysis showed statistically significant effect of age and sex on all trials of the AVLT. Years of education contributed significantly to trial 1-3 and trial 4 but not trial 5. Based on the results obtained, trail 1-3 and trail 4 of AVLT norms were stratified by age (3 strata), education (2 strata), and sex (2 strata). Trail 5 norms were stratified by age (3 strata) and sex (2 strata). Moreover, AIS groups performed significantly worse on most AVLT trials than matched cognitively healthy controls.

CONCLUSIONS: Normative data stratified by age, education and sex for the Chinese-speaking community-residents in Shijiazhuang was presented for use in research and clinical settings. The AVLT measures adequately differentiated between the cognitive performance (especially memory decline) of healthy adults and patients with AIS.

PMID:35908017 | DOI:10.1007/s13760-022-01976-3

Intern Emerg Med. 2022 Jul 30. doi: 10.1007/s11739-022-03054-1. Online ahead of print.

ABSTRACT

BACKGROUND AND OBJECTIVE: This study aimed to compare the prescribing patterns of paracetamol in COVID-19 with those for similar respiratory conditions and investigated the association between paracetamol use and COVID-19-related hospitalization/death.

METHODS: Using a primary care data source, we conducted a cohort study to calculate the incidence rate of paracetamol use in COVID-19 and for similar respiratory conditions in 2020 and 2019 (i.e. pre-pandemic phase), respectively. In the study cohort, we nested a case-control analyses to investigate the association between paracetamol use and COVID-19-related hospitalizations/deaths.

RESULTS: Overall, 1554 (33.4 per 1000) and 2566 patients (78.3 per 1000) were newly prescribed with paracetamol to treat COVID-19 or other respiratory conditions, respectively. Those aged 35-44 showed the highest prevalence rate (44.7 or 99.0 per 1000), while the oldest category reported the lowest value (17.8 or 39.8 per 1000). There was no association for early (OR = 1.15; 95% CI: 0.92-1.43) or mid-term (OR = 1.29; 95% CI: 0.61-2.73) users of paracetamol vs. non-users. Instead, the late users of paracetamol showed a statistically significant increased risk of hospitalization/death (OR = 1.75; 95% CI: 1.4-2.2).

CONCLUSIONS: Our findings provide reassuring evidence on the use and safety profile of paracetamol to treat early symptoms of COVID-19 as in other respiratory infections.

PMID:35908013 | DOI:10.1007/s11739-022-03054-1