Categories
Nevin Manimala Statistics

Effects of occlusal splint and exercise therapy, respectively, for the painful temporomandibular disorder in patients seeking for orthodontic treatment: a retrospective study

BMC Oral Health. 2022 Nov 24;22(1):527. doi: 10.1186/s12903-022-02538-y.

ABSTRACT

OBJECTIVE: To evaluate the effect of hard stabilization splints (HSS), counselling and exercise therapies, respectively, for the painful temporomandibular disorder (TMD) in patients seeking for orthodontic treatment through magnetic resonance imaging (MRI) and clinical examination.

MATERIALS AND METHODS: Eighty-seven TMD patients were divided into two groups according to their therapies: the HSS group (n = 43) comprising of patients treated with HSS, counselling and masticatory muscle exercises; the control group (n = 44) comprising of patients treated with counselling and masticatory muscle exercises alone. All patients had orthodontic therapies after the first treatment phase. The joint pain and clicking of all patients were recorded via clinical examination. MRIs of HSS groups were taken before (T0), after the first phase (T1), and after the orthodontic treatment (T2). Parameters indicating the condyles and articular discs were evaluated. Clinical symptom (pain and clicking) changes among T0, T1 and T2 time point were detected in the two groups respectively. The significant differences between HSS and control groups, as well as between male and female were tested at T1 and T2. Position changes of condyles and discs in HSS group among T0, T1 and T2 were detected in male and female respectively.

RESULTS: After the first treatment phase, there was no difference in the decrease of facial pain between the two group, as well as between male and female in the two groups (P > 0.05). Clicking decreasing was not statistically significant. After the whole orthodontic periods, the TMJ pain relapsed in female of the control group, and the number of female’s pain joints was more than male’s (P < 0.05). In the HSS group, the posterosuperior movements of discs and the anteroposterior movements of condyles were recorded in closing position (P < 0.05). After the whole orthodontic periods, female’s disc-condyle angles increased, the discs to HRP distance decreased and condyles to VRP distance increased when compared with the data of T1 (P < 0.05).

CONCLUSIONS: For the orthodontic patients with painful TMD, HSS combined with counselling and exercise therapies before orthodontic treatment could provide pain relief. HSS is helpful to improve the position and relation of discs and condyles. In addition, male’s prognosis is better than female’s in terms of stability.

PMID:36424568 | DOI:10.1186/s12903-022-02538-y

Categories
Nevin Manimala Statistics

Exploration of the impact of political ideology disparity on COVID-19 transmission in the United States

BMC Public Health. 2022 Nov 24;22(1):2163. doi: 10.1186/s12889-022-14545-3.

ABSTRACT

BACKGROUND: Based on individual-level studies, previous literature suggested that conservatives and liberals in the United States had different perceptions and behaviors when facing the COVID-19 threat. From a state-level perspective, this study further explored the impact of personal political ideology disparity on COVID-19 transmission before and after the emergence of Omicron.

METHODS: A new index was established, which depended on the daily cumulative number of confirmed cases in each state and the corresponding population size. Then, by using the 2020 United States presidential election results, the values of the built index were further divided into two groups concerning the political party affiliation of the winner in each state. In addition, each group was further separated into two parts, corresponding to the time before and after Omicron predominated. Three methods, i.e., functional principal component analysis, functional analysis of variance, and function-on-scalar linear regression, were implemented to statistically analyze and quantify the impact.

RESULTS: Findings reveal that the disparity of personal political ideology has caused a significant discrepancy in the COVID-19 crisis in the United States. Specifically, the findings show that at the very early stage before the emergence of Omicron, Democratic-leaning states suffered from a much greater severity of the COVID-19 threat but, after July 2020, the severity of COVID-19 transmission in Republican-leaning states was much higher than that in Democratic-leaning states. Situations were reversed when the Omicron predominated. Most of the time, states with Democrat preferences were more vulnerable to the threat of COVID-19 than those with Republican preferences, even though the differences decreased over time.

CONCLUSIONS: The individual-level disparity of political ideology has impacted the nationwide COVID-19 transmission and such findings are meaningful for the government and policymakers when taking action against the COVID-19 crisis in the United States.

PMID:36424566 | DOI:10.1186/s12889-022-14545-3

Categories
Nevin Manimala Statistics

The effect of ketamine versus tramadol on prophylactic post-spinal shivering in those patients undergoing orthopedic surgery: a prospective cohort study design, 2020

BMC Anesthesiol. 2022 Nov 24;22(1):361. doi: 10.1186/s12871-022-01906-z.

ABSTRACT

BACKGROUND: Post-spinal shivering is a common complication after spinal anesthesia with a high incidence among orthopedic patients. Untreated shivering may predispose to exacerbation of wound pain, increased metabolic demand, oxygen consumption, and hemostatic dysfunction. Various studies have been done on the effectiveness of preventing post-spinal shivering using ketamine and other drugs. However, little information on better prophylactic agents in terms of effectiveness and availability. Therefore, this study was intended to compare 0.25 mg/kg of Ketamine (K) versus 0.5 mg/kg of Tramadol (T) for the prevention of post-spinal shivering.

METHOD: A prospective cohort study design was employed on 516 patients undergoing orthopedic surgery under spinal anesthesia, and they were selected by a consecutive sampling technique. Patients were divided into two groups based on the anesthetist in charge. Patients who received an intravenous prophylactic dose of Ketamine before spinal anesthesia are called Ketamine groups and patients who received Tramadol are called Tramadol groups (control). The severity and incidence of shivering, blood pressure, heart rate, and axillary body temperature were measured and recorded for one hour at 10-min intervals during the intraoperative period. Descriptive statistics, chi-square, independent t-test, and multivariable logistic regression were used. Significance was declared at a p-value lower than 0.05.

RESULTS: The overall incidence of post-spinal shivering was 187 (36.2%), of which it was 74 (28.7%) on ketamine and 113 (43.8%) on tramadol with a p-value of 0.001. The incidence of nausea and vomiting was 157 (60.9%) on tramadol and 8 (3.1%) on ketamine, with a p-value of 0.001. Patients aged 18-35 years (AOR 0.08 (0.02, 0.27), 36-55 years (AOR 0.24, 0.07, 0.81), and those patients with a prolonged duration of surgery (AOR 1.47 (1.37-1.58)) were more likely to experience post-spinal shivering. And Low-dose ketamine has a protective effect against developing post-spinal shivering with an AOR of 0.427 (0.28-0.63).

CONCLUSION: Low-dose ketamine is more effective in reducing the incidence and severity of shivering after spinal anesthesia. Therefore, we recommend using low-dose ketamine to be effective as a prophylactic for post-spinal shivering in those patients undergoing orthopedic surgery under spinal anesthesia.

PMID:36424561 | DOI:10.1186/s12871-022-01906-z

Categories
Nevin Manimala Statistics

Applied causal inference methods for sequential mediators

BMC Med Res Methodol. 2022 Nov 24;22(1):301. doi: 10.1186/s12874-022-01764-w.

ABSTRACT

BACKGROUND: Mediation analysis aims at estimating to what extent the effect of an exposure on an outcome is explained by a set of mediators on the causal pathway between the exposure and the outcome. The total effect of the exposure on the outcome can be decomposed into an indirect effect, i.e. the effect explained by the mediators jointly, and a direct effect, i.e. the effect unexplained by the mediators. However finer decompositions are possible in presence of independent or sequential mediators.

METHODS: We review four statistical methods to analyse multiple sequential mediators, the inverse odds ratio weighting approach, the inverse probability weighting approach, the imputation approach and the extended imputation approach. These approaches are compared and implemented using a case-study with the aim to investigate the mediating role of adverse reproductive outcomes and infant respiratory infections in the effect of maternal pregnancy mental health on infant wheezing in the Ninfea birth cohort.

RESULTS: Using the inverse odds ratio weighting approach, the direct effect of maternal depression or anxiety in pregnancy is equal to a 59% (95% CI: 27%,94%) increased prevalence of infant wheezing and the mediated effect through adverse reproductive outcomes is equal to a 3% (95% CI: -6%,12%) increased prevalence of infant wheezing. When including infant lower respiratory infections in the mediation pathway, the direct effect decreases to 57% (95% CI: 25%,92%) and the indirect effect increases to 5% (95% CI: -5%,15%). The estimates of the effects obtained using the weighting and the imputation approaches are similar. The extended imputation approach suggests that the small joint indirect effect through adverse reproductive outcomes and lower respiratory infections is due entirely to the contribution of infant lower respiratory infections, and not to an increased prevalence of adverse reproductive outcomes.

CONCLUSIONS: The four methods revealed similar results of small mediating role of adverse reproductive outcomes and early respiratory tract infections in the effect of maternal pregnancy mental health on infant wheezing. The choice of the method depends on what is the effect of main interest, the type of the variables involved in the analysis (binary, categorical, count or continuous) and the confidence in specifying the models for the exposure, the mediators and the outcome.

PMID:36424556 | DOI:10.1186/s12874-022-01764-w

Categories
Nevin Manimala Statistics

The human right to safely give birth: data from 193 countries show that gender equality does affect maternal mortality

BMC Pregnancy Childbirth. 2022 Nov 24;22(1):874. doi: 10.1186/s12884-022-05225-6.

ABSTRACT

BACKGROUND: While a reduction in the global maternal mortality ratio (MMR) has slowed, newer strategies are needed to achieve an ongoing and sustainable reduction of the MMR. Previous studies have investigated the association between health system-related factors such as wealth inequalities, healthcare access and use on maternal mortality. However, a women’s rights-based approach to address MMR has not been studied, excluding the health system-related factors. This study aimed to analyse the association between gender equality and MMR globally.

METHODS: Using structural equation modelling (SEM), secondary and open access data from the United Nations and other international agencies from 193 countries were analysed using structural equation modelling (SEM). Gender-sensitive variables that represented the theoretical, conceptual framework of the study were selected. The association between latent variable gender equality and the outcome, MMR, was examined in the SEM. A second SEM model (n = 158) was designed to include two variables related to gender-based violence.

FINDINGS: The latent variable, gender equality, was negatively associated with MMR (p < 0‧001, Z = -6‧96, 95% CI: – 6508.98 to – 3141.89 for Model 1 and p < 0‧001, Z = -7‧23, 95% CI: – 6045.356 to – 3467.515 for Model 2).

INTERPRETATION: Gender equality was significantly associated with maternal mortality. Investing in higher education for women, improving their paid employment opportunities, increasing participation in leadership roles and politics, reducing intimate partner violence (IPV) and ending child marriage can significantly reduce maternal mortality.

PMID:36424537 | DOI:10.1186/s12884-022-05225-6

Categories
Nevin Manimala Statistics

Volumetric modulated arc therapy (VMAT) comparison to 3D-conformal technique in lung stereotactic ablative radiotherapy (SABR)

J Med Radiat Sci. 2022 Nov 24. doi: 10.1002/jmrs.634. Online ahead of print.

ABSTRACT

INTRODUCTION: Stereotactic ablative radiotherapy (SABR) can be a curative option for non-small cell lung cancer (NSCLC) and oligometastatic lung disease. Volumetric modulated arc therapy (VMAT) has offered further advancements in terms of radiation dose shaping without compromising treatment times however there is potential for greater low-dose exposure to the lung. This study was to assess whether VMAT lung SABR would result in any increase to the dosimetry parameters compared with three-dimensional conformal radiotherapy (3D-CRT) that could confer increased risk of radiation pneumonitis.

METHODS: A total of 53 and 30 3D-CRT treatment plans of patients treated with 48 Gy in 4 fractions were compared.

RESULTS: No statistically significant difference in planning target volumes between the VMAT 29.9 cc (range 12.4-58.5 cc) and 3D-CRT 31.2 cc (range 12.3-58.3 cc) P = 0.79. The mean of total lung V5, ipsilateral lung V5 and contralateral lung V5 all showed a trend of being smaller in the VMAT treatment group- 14% versus 15.8%, 25.6% versus 30.4% and 1.6% versus 2.2%, respectively, but all were not statistically significant differences. Mean of the mean lung dose MLD, again showed a trend of being lower in the VMAT treatments but was also non-significant, 2.6 Gy versus 3.0 Gy, P = 1.0. Mean V20 was the same in both cohorts, 3.3%.

CONCLUSIONS: The dosimetry for 3D-CRT and VMAT plans were not significantly different including V5, and therefore we conclude that VMAT treatment is unlikely to be associated with an increased risk of radiation pneumonitis.

PMID:36424510 | DOI:10.1002/jmrs.634

Categories
Nevin Manimala Statistics

Influence of working conditions and salary on agency work for intermediate and intensive care units : Part 2: Partial results of a nationwide survey

Med Klin Intensivmed Notfmed. 2022 Nov 24. doi: 10.1007/s00063-022-00969-7. Online ahead of print.

ABSTRACT

BACKGROUND: Agency work in nursing is used as a form of labor to counter vacant staff positions in hospitals. Both hospital owners and nurses view this critically for different reasons.

AIM: The aim of this study was to assess what personal net income nurses in German intensive care units and intermediate care units consider “fair and sufficient” for their work (addressed in Part 1 of the survey) and what influence-aside from the salary-the working conditions have on the willingness to change to temporary work or back to a permanent position.

METHODS: From September to October 2020, an anonymous online survey was conducted among nurses of intermediate care units, intensive care units, and special care units in German-speaking countries. Descriptive statistics were used for the analysis.

RESULT: Of 1203 participants, 86% (n = 1036) could be evaluated. None of the job satisfaction factors queried received four or five stars (maximum five stars) from those participating in the survey. The most unsatisfied group proved to be regularly employed nurses with an additional part-time job. Key job satisfaction factors differed markedly between the groups, with regular employees favoring consistency and stability. Agency workers prefer gaining experience in a broader range of tasks. Unreliable duty rosters and poor nurse to patient ratios were common points of criticism.

CONCLUSION: For job satisfaction, making nurses feel appreciated and respected is essential. This includes a guaranteed nurse to patient ratio and reliable duty rosters that also include tasks outside direct patient care. In order for nurses to leave agency work, it is necessary to take into account the differences in interests in terms of the focus of activity.

PMID:36424476 | DOI:10.1007/s00063-022-00969-7

Categories
Nevin Manimala Statistics

Does COVID-19 infection acquired in different pregnancy trimester influence placental pathology?

J Perinat Med. 2022 Nov 25. doi: 10.1515/jpm-2022-0452. Online ahead of print.

ABSTRACT

OBJECTIVES: To determine the morphological characteristics of the placentas from COVID-19 positive mothers in regard to the trimester of COVID-19 infection onset and low weight molecular heparin (LMWH) treatment.

METHODS: Placentas were collected in the period April 1st till September 1st 2021 after delivery at Department of Obstetrics and Gynecology University Hospital Split, Croatia, and sent for pathological examination. Medical history and pathology reports were used to collect the data. Pregnant women were divided based on the onset of COVID-19 infection and stratified into low molecular weight heparin (LMWH)+ or LMWH-. Depending on the data distribution, the following test were used: chi-squared test. Student’s t-test, Mann-Whitney U test, ANOVA and Kruskal-Wallis test.

RESULTS: In 38% of patients the onset of COVID-19 infection was the 1st trimester of pregnancy, in 27% in the 2nd and 35% of women were infected in the 3rd trimester The fetal vascular malperfusion (FVM) occurrence was statistically significantly higher in the LMWH- group and if the onset of infection was in the 2nd trimester, while the perivillous fibrin deposition was most likely to happen if the COVID-19 infection that occured in the 1st trimester of pregnancy.

CONCLUSIONS: The onset of COVID-19 infection has the influence on trophoblast damage and subsequent morphological appearance of the placenta. LMWH use in COVID positive pregnant women decreases the rate of the FVM in examined placentas.

PMID:36423330 | DOI:10.1515/jpm-2022-0452

Categories
Nevin Manimala Statistics

Frailty, comorbidity and associations with in-hospital mortality in older COVID-19 patients: an exploratory study of administrative data

Interact J Med Res. 2022 Nov 24. doi: 10.2196/41520. Online ahead of print.

ABSTRACT

BACKGROUND: Older adults have worse outcomes following hospitalisation with COVID-19, but within this group there is substantial variation. Although frailty and comorbidity are key determinants of mortality, it is less clear which specific manifestations of frailty and comorbidity are associated with the worst outcomes.

OBJECTIVE: We aimed to identify the key comorbidities and domains of frailty that were associated with in-hospital mortality in older patients with COVID-19 using models developed using machine learning algorithms.

METHODS: This was a retrospective study that used the Hospital Episode Statistics administrative dataset from 1st March 2020 to 28th February 2021 for hospital patients in England aged 65 years and over. The dataset was split into separate training (70%), test (15%) and validation (15%) datasets during model development. Global frailty was assessed using the Hospital Frailty Risk Score (HFRS) and specific domain of frailty identified using the Dr Foster Global Frailty Scale (GFS). Comorbidity was assessed using the Charlson Comorbidity Index (CCI). Additional features employed in the random forest algorithms included age, sex, deprivation, ethnicity, discharge month and year, geographical region, hospital trust, disease severity, International Statistical Classification of Disease and Related Health Problems 10th edition codes recorded during the admission. Features were selected, pre-processed and inputted into a series of random forest classification algorithms developed to identify factors strongly associated with in-hospital mortality. Two models were developed, the first model included the demographic, hospital-related and disease related items described above and individual GFS domains and CCI items. The second model was as the first but replaced the GFS domains and CCI items with the HFRS as a global measure of frailty. Model performance was assessed using the area under the receiver operating characteristic (AUROC) curve and measures of model accuracy.

RESULTS: In total 215,831 patients were included. The model containing the individual GFS domains and CCI items had an AUROC curve for in-hospital mortality of 90% and a predictive accuracy of 83%. The model containing the HFRS had a similar performance (AUROC curve 90%, predictive accuracy 82%). The most important frailty items in the GFS were dementia/delirium, falls/fractures and pressure ulcers/weight loss. The most-important comorbidity items in the CCI were cancer, heart failure and renal disease.

CONCLUSIONS: The physical manifestation of frailty and comorbidity, particularly a history of cognitive impairment and falls, may be useful in identification of patients who may need additional support during hospitalization with COVID-19.

PMID:36423306 | DOI:10.2196/41520

Categories
Nevin Manimala Statistics

Levodopa responsiveness and white matter alterations in Parkinson’s disease: A DTI-based study and brain network analysis: A cross-sectional study

Brain Behav. 2022 Nov 24:e2825. doi: 10.1002/brb3.2825. Online ahead of print.

ABSTRACT

BACKGROUND: Patients with Parkinson’s disease (PD) present various responsiveness to levodopa, but the cause of such differences in levodopa responsiveness is unclear. Previous studies related the damage of brain white matter (WM) to levodopa responsiveness in PD patients, but no study investigated the relationship between the structural brain network change in PD patients and their levodopa responsiveness.

METHODS: PD patients were recruited and evaluated using the Unified Parkinson’s Disease Rating Scale (UPDRS). Each patient received a diffusion tensor imaging (DTI) scan and an acute levodopa challenge test. The improvement rate of UPDRS-III was calculated. PD patients were grouped into irresponsive group (improvement rate < 30%) and responsive group (improvement rate ≥ 30%). Tract-based spatial statistics (TBSS), deterministic tracing (DT), region of interest (ROI) analysis, and automatic fiber identification (AFQ) analyses were performed. The structural brain network was also constructed and the topological parameters were calculated.

RESULTS: Fifty-four PD patients were included. TBSS identified significant differences in fractional anisotropy (FA) values in the corpus callosum and other regions of the brain. DT and ROI analysis of the corpus callosum found a significant difference in FA between the two groups. Graph theory analysis showed statistical differences in global efficiency, local efficiency, and characteristic path length.

CONCLUSION: PD patients with poor responsiveness to levodopa had WM damage in multiple brain areas, especially the corpus callosum, which might cause disruption of information integration of the structural brain network.

PMID:36423257 | DOI:10.1002/brb3.2825