Nevin Manimala

Swiss Med Wkly. 2024 Sep 2;154:3773. doi: 10.57187/s.3773.

ABSTRACT

BACKGROUND: The COVID-19 pandemic has placed unprecedented pressure on hospitals worldwide. In such a context of tension in healthcare systems, efficiently allocating hospital resources is a crucial aspect of crisis management. The aim of this study was to describe the clinical characteristics of readmitted patients and to determine risk factors for hospital readmission using data from the Swiss COVID-19 Hospital-Based Surveillance system (CH-SUR).

METHODS: We investigated hospital readmissions within 60 days after discharge of patients from the CH-SUR surveillance system with a first hospitalisation between 1 December 2020 and 1 December 2021. Only community-acquired cases were considered. We compared the baseline characteristics of readmitted and non-readmitted patients. We performed univariable and multivariable logistic regression analyses to investigate the risk factors for hospital readmission.

FINDINGS: Of the 8039 eligible patients, 239 (3.0%, 95% confidence interval [CI] 2.6-3.3%) were readmitted to hospital within 60 days of discharge, with no significant variations observed over the study period; 80% of all readmissions occurred within 10 days of discharge of the index hospital stay. Based on our multivariable logistic regression models, factors increasing the odds of hospital readmission were age ≥65 years (odds ratio [OR] 1.63, 95% CI 1.24-2.15), male sex (OR 1.47, 95% CI 1.12-1.93), being discharged to home after first hospitalisation (OR 1.77, 95% CI 1.19-2.62), having oncological pathology (OR 1.82, 95% CI 1.27-2.61) and being immunosuppressed (OR 2.34, 95% CI 1.67-3.29).

INTERPRETATIONS: Age, sex, cardiovascular diseases, oncological pathologies and immunosuppression were the main risk factors identified for hospital readmission.

PMID:39462475 | DOI:10.57187/s.3773

Int J Dent Hyg. 2024 Oct 27. doi: 10.1111/idh.12862. Online ahead of print.

ABSTRACT

OBJECTIVES: The purpose of this study was to assess the selection and sequence of dental hygiene instruments taught during dental hygiene pre-clinical education in the United States.

METHODS: Exempt status was received from the University of New Mexico’s IRB (ID 21-336). A survey was developed with questions to be answered involving decisions for clinical teaching and sequencing on various assessment and implementation instruments during pre-clinic education. The instrument was 11 questions with multiple choice, ranking and short answer. A survey link was included through email invitation and successfully sent to 301 accredited dental hygiene programme directors in the United States. Results were collected and analysed through descriptive statistics.

RESULTS: Forty-three of the invited participants completed the survey, a 14% response rate. Almost half (n = 24) of the participants chose to teach the periodontal probe first and 19 chose the explorer. Twenty-five participants selected they teach the sickle scalers first, 14 teach the universal curette scalers first and 4 teach the Gracey curette scalers first. All participants teach electronically powered scalers with 33 teaching after hand instrumentation and 8 before.

CONCLUSIONS: Results from this study emphasise that educators teach clinical instrumentation from professional opinion, but no attestation specifically suggests the use of evidence-based pedagogical standards for clinical teaching. Dental hygiene programmes could benefit from further research on pre-clinic instrument selection and sequencing as a way of standardised clinical teaching. These clinical implications could advance the science for standardised teaching of clinical instrumentation and sequencing in dental hygiene education.

PMID:39462462 | DOI:10.1111/idh.12862

Dev Med Child Neurol. 2024 Oct 27. doi: 10.1111/dmcn.16136. Online ahead of print.

ABSTRACT

AIM: To determine school attendance and its predictors among children with cerebral palsy (CP) in Bangladesh using population-based data.

METHOD: This study utilized data from the Bangladesh Cerebral Palsy Register (BCPR), a population-based register of children with CP aged less than 18 years in Bangladesh. Sociodemographic, clinical, and educational data were documented, and descriptive statistics and multivariate regression analyses were used to identify potential predictors of school attendance.

RESULTS: Between January 2015 and January 2019, 2725 children with CP were registered into BCPR of which 1582 were school-aged children (i.e. aged 6-18 years). The majority of those children had not attended school (73.9%); 50% (n = 239) children in Gross Motor Function Classification System (GMFCS) levels I to II did not attend schools. Adjusted odds ratios (OR) showed significantly higher odds of school attendance among children whose mothers had completed secondary education or higher (adjusted OR: 2.2; 95% confidence interval [CI]: 1.2-4.0) and received rehabilitation (adjusted OR: 2.1; 95% CI: 1.4-3.1). Conversely, lower odds of school attendance were observed among children aged 15 to 18 years (adjusted OR: 0.4; 95% CI: 0.2-0.8), those with bilateral CP (adjusted OR: 0.5; 95% CI: 0.3-0.8), GMFCS levels III to V (adjusted OR: 0.3; 95% CI: 0.2-0.5), Manual Ability Classification System levels III to V (adjusted OR: 0.5; 95% CI: 0.4-0.8), and speech impairment (adjusted OR: 0.3; 95% CI: 0.2-0.6).

INTERPRETATION: A large number of children with CP in Bangladesh, including half of those with milder forms, do not attend schools. These findings underscore a deficiency in awareness and support, encompassing the provision of resources and trained teachers, highlighting the necessity for policy-level changes. Sociodemographic and clinical predictors should be taken into account when devising educational programmes to enhance school attendance for children with CP in Bangladesh.

PMID:39462437 | DOI:10.1111/dmcn.16136

Neurorehabil Neural Repair. 2024 Oct 27:15459683241292615. doi: 10.1177/15459683241292615. Online ahead of print.

ABSTRACT

BACKGROUND: Low-frequency repetitive transcranial magnetic stimulation (LF-rTMS) protocols targeting primary motor cortex (M1) are used in rehabilitation of neurological diseases for their therapeutic potential, safety, and tolerability. Although lower intensity LF-rTMS can modulate M1 neurophysiology, results are variable, and a systematic assessment of its dose effect is lacking.

OBJECTIVES: To determine the dose-response of LF-rTMS on stimulated and non-stimulated M1.

METHODS: In a sham-controlled randomized double-blind crossover study the effect of LF-TMS protocols were determined in 20 right-handed older healthy participants. In 3 sessions, 1 Hz rTMS at 80% (rTMS₈₀), 90% (rTMS₉₀) of motor threshold or sham stimulation were applied to left upper extremity M1. Outcome measures were curve parameters of the stimulus-response curve (maximum motor evoked potential [MEP_MAX], slope and the intensity to evoke 50% MEP_MAX), short-interval intracortical inhibition (SICI), and interhemispheric inhibition (IHI).

RESULTS: Within LF-rTMS sessions, rTMS₉₀, increased MEP_MAX in the stimulated M1. Furthermore, rTMS₉₀, increased the slope in the non-stimulated M1. LF-rTMS effects on SICI were dependent on the participants’ baseline SICI, hemisphere, and intensity of conditioning pulse. Finally, rTMS₉₀ increased whereas rTMS₈₀ decreased IHI, for both IHI directions. These changes were dependent on baseline IHI and hemisphere and were no longer significant when baseline IHI was accounted for.

CONCLUSIONS: Intensity of subthreshold LF-rTMS has differential effects on excitation and inhibition of stimulated and non-stimulated M1. The effects were small and were only demonstrated within the LF-rTMS sessions but were not different when compared to sham. rTMS related changes in SICI and IHI were dependent on baseline level.

CLINICALTRIALS.GOV IDENTIFIER: NCT02544503, NCT01726218.

PMID:39462433 | DOI:10.1177/15459683241292615

J Health Popul Nutr. 2024 Oct 27;43(1):170. doi: 10.1186/s41043-024-00646-9.

ABSTRACT

BACKGROUND: Although machine learning (ML) models are well-liked for their outperformance in prediction, greatly avoided due to the lack of intuition and explanation of their predictions. Interpretable ML is, therefore, an emerging research field that combines the performance and interpretability of ML models to create comprehensive solutions for complex decision-making analysis. Conversely, infant mortality is a global public health concern affecting health, social well-being, socio-economic development, and healthcare services. The study employs advanced interpretable ML techniques to anticipate and understand the factors affecting infant mortality in Bangladesh, overcoming the shortcomings of the conventional logistic regression (LR) model.

METHODS: By utilizing the global surrogate model and local individual conditional expectation (ICE) interpretability technique, the interpretable support vector machine (SVM) has been used in this study to reveal significant characteristics of infant mortality using data from the Bangladesh Demographic and Health Survey (BDHS) 2017-18. To investigate intricate decision-making analysis of infant mortality, we adapted SVM and LR techniques with the hyperparameter tuning parameters. These models’ performances were initially assessed using the receiver operating characteristics (ROC) curve, run-time, and confusion matrix parameters with 100 permutations. Afterward, the SVM model’s model-agnostic explanation and the LR model’s interpretation were compared to enhance advanced comprehension for further insights.

RESULTS: The results of the 100 permutations demonstrated that the LR model (Average: accuracy = 0.9105, precision = NaN, sensitivity = 0, specificity = 1, F1-score = 0, area under the ROC curve (AUC) = 0.6780, run-time = 0.0832) outperformed the SVM model (Average: accuracy = 0.8470, precision = 0.1062, sensitivity = 0.0949, specificity = 0.9209, F1-score = 0.1000, AUC = 0.5632, run-time = 0.0254) in predicting infant mortality, but the LR model had a slower run-time and it was unable to predict any positive cases. The interpretation of LR analysis revealed that infant mortality rates decrease when mothers give birth after over two years, with higher educational attainment, overweight or obese mothers, working mothers, and families with polluted cooking fuel having lower rates. The local ICE interpretability technique, which depicts individual influences on the average likelihood of dying within the first birthday, explores the interpretable SVM model that mothers with normal BMIs, giving birth within two years, using less polluted cooking fuel, working mothers, and having male infant were more likely to experience infant death. The interpretable SVM model based on the global surrogate model also reveals that working mothers who used polluted cooking fuel at home and working women who used less polluted cooking fuel but had a longer period between pregnancies than two years would have higher infant death rates. Even among non-working mothers who used polluted cooking fuel and gave birth within two years of the preceding one, infant death rates were higher.

CONCLUSIONS: The interpretable SVM model reveals global interpretations help clinicians understand the entire conditional distribution, while local interpretations focus on specific instances, providing different insights into model behavior. Interpretable ML models aid policymakers, stakeholders, and families in understanding and preventing infant deaths by improving policy-making strategies and establishing effective family counseling services.

PMID:39462431 | DOI:10.1186/s41043-024-00646-9

Health Qual Life Outcomes. 2024 Oct 26;22(1):91. doi: 10.1186/s12955-024-02309-z.

ABSTRACT

OBJECTIVE: As the ageing process in China further accelerates and the average life expectancy increases, chronic disease prevalence and multimorbidity rates are constantly rising, especially among elderly individuals. However, few previous studies have explored the impacts of chronic diseases and multimorbidity on health-related quality of life (HRQoL). This study aimed to investigate this association among community-dwelling elderly individuals in China.

METHODS: A cross-sectional study was conducted in communities in three cities (Suzhou, Qingdao, and Guangzhou). The basic characteristics, chronic diseases and HRQoL of participants were collected, and HRQoL was measured by the EuroQol 5-Dimensions 3-Level version (EQ-5D-3L). Logistic regression, Tobit regression and generalized linear models were used to assess the impacts of chronic diseases and multimorbidity on HRQoL.

RESULTS: Approximately 83.2 percent of the 1,218 respondents had chronic conditions, with 30 percent having multimorbidity. After controlling for sociodemographic and health behaviour factors, patients with stroke were more likely to report problems in all five dimensions of the EQ-5D and had a lower EQ-5D utility index (UI) (b = -0.342) than patients with other chronic conditions. Patients with chronic pulmonary obstruction had a lower EuroQol Visual Analog Scale (EQ-VAS) (b = -11.169) than patients with other chronic conditions. Furthermore, patients with multimorbidity had worse HRQoL (P < 0.001).

CONCLUSIONS: Both chronic condition probability and multimorbidity rates were high among Chinese community-dwelling elderly individuals. Different disease types had varying degrees of impact on HRQoL, and patients with multimorbidity had worse HRQoL. This study proposes that the government enhance the quality of life of community-dwelling elderly individuals with multimorbidity by establishing long-term care insurance and expanding comprehensive community-based home health care services.

PMID:39462427 | DOI:10.1186/s12955-024-02309-z

Crit Care. 2024 Oct 26;28(1):345. doi: 10.1186/s13054-024-05136-2.

ABSTRACT

BACKGROUND: Executive dysfunction and depression are common among ICU survivors, yet the mechanisms linking these two factors remain poorly understood. Self-confidence has been implicated as a key mediator in the relationship between cognitive impairments and mental health outcomes. This study aimed to explore the mediating role of self-confidence in the association between executive functioning and depression in ICU survivors.

METHOD: A provisional questionnaire was used in a cross-sectional study to assess quality of life in 395 adult ICU survivors, each with a minimum 72-h stay at one of three ICUs at a Swedish university hospital, six months to three years post-discharge. Responses to questions on executive function, self-confidence, and depression were analysed. Structural equation modelling and confirmatory factor analysis were employed to examine the mediating effect of self-confidence on the relationship between executive function and depression. Model fit was evaluated using established indicators. Reliability of the measures was assessed using McDonald’s Omega and Cronbach’s Alpha.

RESULTS: A significant positive correlation was found between depressive symptoms and both diminished self-confidence (r = 0.80, p < 0.001) and poorer executive function (r = 0.55, p < 0.001). Additionally, a correlation was observed between reduced self-confidence and compromised executive function (r = 0.62, p < 0.001). Age was negatively associated with depression, self-confidence, and executive function, while male gender was positively correlated with higher self-confidence. Mediation analysis revealed that the effect of impaired executive function on depressive symptoms was fully mediated by diminished self-confidence (B = 0.45; 95% CI 0.34-0.59). The direct effect of executive function on depression became non-significant when self-confidence was included in the model (B = 0.07, p = 0.18), suggesting complete mediation. The overall model fit was satisfactory (CFI = 0.962; RMSEA = 0.075), highlighting the robustness of the mediation pathway.

CONCLUSIONS: Self-confidence mediates the relationship between executive function and depression among ICU survivors. Interventions aimed at enhancing self-confidence could mitigate depressive symptoms in the ICU survivor population. Longitudinal studies are needed to confirm these findings and further explore the causal pathways involved. Trial registration ClinicalTrials.gov Ref# NCT02767180; Registered 28 April 2016.

PMID:39462425 | DOI:10.1186/s13054-024-05136-2

BMC Oral Health. 2024 Oct 26;24(1):1295. doi: 10.1186/s12903-024-04954-8.

ABSTRACT

OBJECTIVES: This study aimed to compare the temperature rise, time consuming and cut quality of apicectomy using three different methods.

MATERIALS AND METHODS: Twenty-four single-rooted teeth were collected and divided into four groups operating apicectomy with a NINJA tip of a piezoelectric device (G1), a diamond bur with 300,000 rpm (G2), and Er: YAG laser at 200 mJ/ 30 Hz (G3) as well as 250 mJ/ 30 Hz (G4). The temperature elevation and time were recorded and the cut quality was evaluated via stereomicroscope and scanning electronic microscopy (SEM).

RESULTS: The temperature increases for G1 was significantly higher than for G2. However, there was no significant difference between G1 and G2 with laser groups respectively. The median time for apicectomy was: 100.14s for G1, 22.65s for G2, 33.58s for G3, and 21.80s for G4. G1 is the most time-consuming group and there was no statistically significance in the comparisons with G2, G3 and G4. Cut quality was assessed by crack occurrence, smear layer formation and dentinal tubules exposed. The percentage of cracked teeth in G1 and G2 was 33.33% and for laser groups the percentage was 16.67% each. SEM showed that no smear layer formed and almost all dentinal tubules were exposed on resected surfaces for G3&G4, surfaces from G2 were partly covered by smear layer, and surfaces from G1 were fully covered by smear layer and with no dentinal tubules exposed.

CONCLUSIONS: Er: YAG laser and conventional rotary instruments were safe and efficient for apicectomy and with a better cut quality when compared with piezoelectric equipment. Er: YAG laser could be a promising technique for apicectomy and further studies are necessary, especially larger sample in vivo investigations, to verify the feasibility of Er: YAG laser in endodontic surgery.

PMID:39462424 | DOI:10.1186/s12903-024-04954-8

Cancer Cell Int. 2024 Oct 26;24(1):350. doi: 10.1186/s12935-024-03543-7.

ABSTRACT

BACKGROUND: The tertiary lymphoid structures (TLSs) have an immunomodulatory function and have a positive impact on the survival outcomes of patients with oral squamous cell carcinoma (OSCC). However, there is a lack of standard approaches for quantifying TLSs and prognostic models using TLS-related genes (TLSRGs). These limitations limit the widespread use of TLSs in clinical practice.

METHODS: A convolutional neural network was used to automatically detect and quantify TLSs in HE-stained whole slide images. By employing bioinformatics and diverse statistical methods, this research created a prognostic model using TCGA cohorts and explored the connection between this model and immune infiltration. The expression levels of three TLSRGs in clinical specimens were detected by immunohistochemistry. To facilitate the assessment of individual prognostic outcomes, we further constructed a nomogram based on the risk score and other clinical factors.

RESULTS: TLSs were found to be an independent predictor of both overall survival (OS) and disease-free survival in OSCC patients. A larger proportion of the TLS area represented a better prognosis. After analysis, we identified 69 differentially expressed TLSRGs and selected three pivotal TLSRGs to construct the risk score model. This model emerged as a standalone predictor for OS and exhibited close associations with CD4 + T cells, CD8 + T cells, and macrophages. Immunohistochemistry revealed high expression levels of CCR7 and CXCR5 in TLS + OSCC samples, while CD86 was highly expressed in TLS- OSCC samples. The nomogram demonstrates excellent predictive ability for overall survival in OSCC patients.

CONCLUSIONS: This is the first prognostic nomogram based on TLSRGs, that can effectively predict survival outcomes and contribute to individual treatment strategies for OSCC patients.

PMID:39462422 | DOI:10.1186/s12935-024-03543-7

BMC Musculoskelet Disord. 2024 Oct 26;25(1):853. doi: 10.1186/s12891-024-07988-9.

ABSTRACT

OBJECTIVE: To improve hip flexor flexibility, the commonly used hip extension stretch focuses on advancing the pelvis forward in a half-kneeling position, targeting only hip extension. This study aimed to compare the effectiveness of this traditional stretch with a new technique incorporating posterior pelvic tilt.

METHODS: A randomized crossover clinical trial was conducted with in 26 healthy, physically active individuals (52 hips), aged 22.50 ± 4.10 years. Each participant performed both the hip extension stretch and the posterior pelvic tilt stretch (26 hips), with one technique applied to each limb: the posterior pelvic tilt stretch on one limb and the hip extension stretch on the other limb (26 hips). The reactive hip flexor test and active knee extension test were measured pre and post stretching techniques. A repeated measures ANOVA was performed to assess differences between groups.

RESULTS: There was a significant group-by-time interaction with a medium effect size for the variable related to reactive hip flexor force (F = 4.775, p = 0.034, η2p = 0.087). The posterior pelvic tilt stretch had a statistically significant mean difference of 4.85 N·m (p = 0.003; 95%CI: 1.74; 7.96) compared with the hip extension stretch (mean difference = 0.06 N·m (p = 0.969; 95%CI-3.05; 3.17). No significant differences were found for active knee extension (p > 0.05).

CONCLUSIONS: The results showed that the posterior pelvic tilt stretching technique was effective in reducing the hip reactive flexor force when compared to conventional hip extension stretch.

PMID:39462416 | DOI:10.1186/s12891-024-07988-9