Category: Statistics

J Biomed Mater Res A. 2024 Jun 24. doi: 10.1002/jbm.a.37768. Online ahead of print.

ABSTRACT

This study investigates nanostructured titanium surfaces (Ti2 spikes) that promote the viability of osteoblasts and fibroblasts and prevent bacterial colonisation. Helium ion irradiation was adopted to produce nanometric-sized cones on titanium. Human osteoblasts (hFOB) and human gingiva fibroblasts (hGF) were used for analysis. A viability and a cytotoxicity assay were conducted to evaluate the lactate dehydrogenase (LDH) activity and assess cell damage in Ti2 spikes compared to titanium discs with a sandblasted and acid-etched (Ti2 SLA) surface. The antibacterial activity was investigated against Escherichia coli, Streptococcus mutans, Fusobacterium nucleatum, and Porphyromonas gingivalis. In the course of the cultivation, both hGF and hFOB demonstrated significantly reduced viability on the Ti2 spikes surface. hGF cells exhibited a slight but significant increase in LDH release. In contrast, hFOB showed reduced cytotoxicity on this surface. On the Ti2 spikes surface, hGF cells exhibited a significant reduction in gene expression of VCL, Src-1, and ITGα5. However, the integrin subunits ITGα1 and ITGα3 showed upregulation on the Ti2 spikes surface. The Ti2 spikes surface significantly increased the expression of almost all osteogenic markers. The results of conventional culturing demonstrated a statistically significant decrease in the number of viable cells for S. mutans, F. nucleaum, and greater quantities of P. gingivalis on Ti2 spikes surface compared to control. However, no such reduction was detected for E. coli. The long-term success of implants relies on establishing and maintaining hard and soft peri-implant tissues. Ti2 spikes represent a novel and promising approach to enhance osseointegration and optimize biocompatibility.

PMID:38925622 | DOI:10.1002/jbm.a.37768

Diabetes Metab Res Rev. 2024 Jul;40(5):e3831. doi: 10.1002/dmrr.3831.

ABSTRACT

Fluid resuscitation during diabetic ketoacidosis (DKA) is most frequently performed with 0.9% saline despite its high chloride and sodium concentration. Balanced Electrolyte Solutions (BES) may prove a more physiological alternative, but convincing evidence is missing. We aimed to compare the efficacy of 0.9% saline to BES in DKA management. MEDLINE, Cochrane Library, and Embase databases were searched for relevant studies using predefined keywords (from inception to 27 November 2021). Relevant studies were those in which 0.9% saline (Saline-group) was compared to BES (BES-group) in adults admitted with DKA. Two reviewers independently extracted data and assessed the risk of bias. The primary outcome was time to DKA resolution (defined by each study individually), while the main secondary outcomes were changes in laboratory values, duration of insulin infusion, and mortality. We included seven randomized controlled trials and three observational studies with 1006 participants. The primary outcome was reported for 316 patients, and we found that BES resolves DKA faster than 0.9% saline with a mean difference (MD) of -5.36 [95% CI: -10.46, -0.26] hours. Post-resuscitation chloride (MD: -4.26 [-6.97, -1.54] mmoL/L) and sodium (MD: -1.38 [-2.14, -0.62] mmoL/L) levels were significantly lower. In contrast, levels of post-resuscitation bicarbonate (MD: 1.82 [0.75, 2.89] mmoL/L) were significantly elevated in the BES-group compared to the Saline-group. There was no statistically significant difference between the groups regarding the duration of parenteral insulin administration (MD: 0.16 [-3.03, 3.35] hours) or mortality (OR: -0.67 [0.12, 3.68]). Studies showed some concern or a high risk of bias, and the level of evidence for most outcomes was low. This meta-analysis indicates that the use of BES resolves DKA faster than 0.9% saline. Therefore, DKA guidelines should consider BES instead of 0.9% saline as the first choice during fluid resuscitation.

PMID:38925619 | DOI:10.1002/dmrr.3831

J Natl Cancer Inst Monogr. 2024 Jun 26;2024(64):55-61. doi: 10.1093/jncimonographs/lgae003.

ABSTRACT

BACKGROUND: Telehealth use increased during the COVID-19 pandemic and remains a complementary source of cancer care delivery. Understanding research funding trends in cancer-related telehealth can highlight developments in this area of science and identify future opportunities.

METHODS: Applications funded by the US National Cancer Institute (NCI) between fiscal years 2016 and 2022 and focused on synchronous patient-provider telehealth were analyzed for grant characteristics (eg, funding mechanism), cancer focus (eg, cancer type), and study features (eg, type of telehealth service). Of 106 grants identified initially, 60 were retained for coding after applying exclusion criteria.

RESULTS: Almost three-quarters (73%) of telehealth grants were funded during fiscal years 2020-2022. Approximately 67% were funded through R01 or R37 mechanism and implemented as randomized controlled trials (63%). Overall, telehealth grants commonly focused on treatment (30%) and survivorship (43%); breast cancer (12%), hematologic malignancies (10%), and multiple cancer sites (27%); and health disparity populations (ie, minorities, rural residents) (73%). Both audio and video telehealth were common (65%), as well as accompanying mHealth apps (20%). Telehealth services centered on psychosocial care, self-management, and supportive care (88%); interventions were commonly delivered by mental health professionals (30%).

CONCLUSION: NCI has observed an increase in funded synchronous patient-provider telehealth grants. Trends indicate an evolution of awards that have expanded across the cancer control continuum, applied rigorous study designs, incorporated additional digital technologies, and focused on populations recognized for disparate cancer outcomes. As telehealth is integrated into routine cancer care delivery, additional research evidence will be needed to inform clinical practice.

PMID:38924791 | DOI:10.1093/jncimonographs/lgae003

JMIR Mhealth Uhealth. 2024 Jun 26;12:e48777. doi: 10.2196/48777.

ABSTRACT

BACKGROUND: Early detection of cognitive impairment or dementia is essential to reduce the incidence of severe neurodegenerative diseases. However, currently available diagnostic tools for detecting mild cognitive impairment (MCI) or dementia are time-consuming, expensive, or not widely accessible. Hence, exploring more effective methods to assist clinicians in detecting MCI is necessary.

OBJECTIVE: In this study, we aimed to explore the feasibility and efficiency of assessing MCI through movement kinetics under tablet-based “drawing and dragging” tasks.

METHODS: We iteratively designed “drawing and dragging” tasks by conducting symposiums, programming, and interviews with stakeholders (neurologists, nurses, engineers, patients with MCI, healthy older adults, and caregivers). Subsequently, stroke patterns and movement kinetics were evaluated in healthy control and MCI groups by comparing 5 categories of features related to hand motor function (ie, time, stroke, frequency, score, and sequence). Finally, user experience with the overall cognitive screening system was investigated using structured questionnaires and unstructured interviews, and their suggestions were recorded.

RESULTS: The “drawing and dragging” tasks can detect MCI effectively, with an average accuracy of 85% (SD 2%). Using statistical comparison of movement kinetics, we discovered that the time- and score-based features are the most effective among all the features. Specifically, compared with the healthy control group, the MCI group showed a significant increase in the time they took for the hand to switch from one stroke to the next, with longer drawing times, slow dragging, and lower scores. In addition, patients with MCI had poorer decision-making strategies and visual perception of drawing sequence features, as evidenced by adding auxiliary information and losing more local details in the drawing. Feedback from user experience indicates that our system is user-friendly and facilitates screening for deficits in self-perception.

CONCLUSIONS: The tablet-based MCI detection system quantitatively assesses hand motor function in older adults and further elucidates the cognitive and behavioral decline phenomenon in patients with MCI. This innovative approach serves to identify and measure digital biomarkers associated with MCI or Alzheimer dementia, enabling the monitoring of changes in patients’ executive function and visual perceptual abilities as the disease advances.

PMID:38924786 | DOI:10.2196/48777

J Med Internet Res. 2024 Jun 26;26:e55228. doi: 10.2196/55228.

ABSTRACT

BACKGROUND: “Direct-to-consumer (DTC) telemedicine” is increasing worldwide and changing the map of primary health care (PHC). Virtual care has increased in the last decade and with the ongoing COVID-19 pandemic, patients’ use of online care has increased even further. In Sweden, online consultations are a part of government-supported health care today, and there are several digital care providers on the Swedish market, which makes it possible to get in touch with a doctor within a few minutes. The fast expansion of this market has raised questions about the quality of primary care provided only in an online setting without any physical appointments. Antibiotic prescribing is a common treatment in PHC.

OBJECTIVE: This study aimed to compare antibiotic prescribing between digital PHC providers (internet-PHC) and traditional physical PHC providers (physical-PHC) and to determine whether prescriptions for specific diagnoses differed between internet-PHC and physical-PHC appointments, adjusted for the effects of attained age at the time of appointment, gender, and time relative to the COVID-19 pandemic.

METHODS: Antibiotic prescribing data based on Anatomical Therapeutic Chemical (ATC) codes were obtained for Region Sörmland residents from January 2020 until March 2021 from the Regional Administrative Office. In total, 160,238 appointments for 68,332 Sörmland residents were included (124,398 physical-PHC and 35,840 internet-PHC appointments). Prescriptions issued by internet-PHC or physical-PHC physicians were considered. Information on the appointment date, staff category serving the patient, ICD-10 (International Statistical Classification of Diseases, Tenth Revision) diagnosis codes, ATC codes of prescribed medicines, and patient-attained age and gender were used.

RESULTS: A total of 160,238 health care appointments were registered, of which 18,433 led to an infection diagnosis. There were large differences in gender and attained age distributions among physical-PHC and internet-PHC appointments. Physical-PHC appointments peaked among patients aged 60-80 years while internet-PHC appointments peaked at 20-30 years of age for both genders. Antibiotics with the ATC codes J01A-J01X were prescribed in 9.3% (11,609/124,398) of physical-PHC appointments as compared with 6.1% (2201/35,840) of internet-PHC appointments. In addition, 61.3% (6412/10,454) of physical-PHC infection appointments resulted in antibiotic prescriptions, as compared with only 25.8% (2057/7979) of internet-PHC appointments. Analyses of the prescribed antibiotics showed that internet-PHC followed regional recommendations for all diagnoses. Physical-PHC also followed the recommendations but used a wider spectrum of antibiotics. The odds ratio of receiving an antibiotic prescription (after adjustments for attained age at the time of appointment, patient gender, and whether the prescription was issued before or during the COVID-19 pandemic) during an internet-PHC appointment was 0.23-0.39 as compared with a physical-PHC appointment.

CONCLUSIONS: Internet-PHC appointments resulted in a significantly lower number of antibiotics prescriptions than physical-PHC appointments, adjusted for the large differences in the characteristics of patients who consult internet-PHC and physical-PHC. Internet-PHC prescribers showed appropriate prescribing according to guidelines.

PMID:38924783 | DOI:10.2196/55228

J Eval Clin Pract. 2024 Jun 25. doi: 10.1111/jep.14064. Online ahead of print.

ABSTRACT

OBJECTIVES: The underreporting of occupational diseases in many countries significantly hampers the development of intervention programs, posing a significant public health problem. Our study aimed to contribute to the occupational diseases surveillance by examining the data of hospitals authorized to issue reports throughout Turkey.

MATERIAL AND METHODS: This cross-sectional study was conducted using medical diagnoses of occupational diseases reported to the General Directorate of Public Health from 81 provinces in Turkey between 1 January 2018 and 31 December 2022. The study evaluated hospitals that made medical diagnoses of occupational diseases and compared age groups, genders, occupational disease diagnosis groups and provinces of work regarding legal and medical diagnoses.

RESULTS: The top three disease groups in terms of medical diagnosis are musculoskeletal disorders with 38.8%, respiratory diseases with 14.4% and hearing defects with 10.9%. Regarding legal diagnoses, respiratory system diseases ranked first with 26.4%, followed by musculoskeletal disorders with 8.2% and hearing defects with 5.5%. While the provinces where most cases of medical occupational diseases are diagnosed share similarities, the majority of affected individuals in Karabük and Batman have not received a legal recognition of the occupational disease. Two-thirds of Turkey’s medical occupational disease diagnoses were made in two hospitals.

CONCLUSION: This study is reflecting national data in Turkey and is the country’s first nationwide study. The number of occupational diseases in Turkey is lower than expected. It would be more accurate to express the data in a way that includes medical diagnoses instead of using the number of compensated files corresponding to legal diagnoses.

PMID:38924660 | DOI:10.1111/jep.14064

J Child Adolesc Psychiatr Nurs. 2024 Aug;37(3):e12474. doi: 10.1111/jcap.12474.

ABSTRACT

OBJECTIVE: Depression, anxiety, and eating disorders are all common during adolescence. This study aims to investigate the potential relationship between eating at night, physical activity, and depression/suicide risk in adolescents.

METHODS: This study followed a cross-sectional descriptive design and involved collecting data from adolescents aged 13-18 years who attend four different high schools. The data collection was done through an online survey using Google Forms. Sociodemographic form, eating at night questionnaire, International Physical Activity Questionnaire (Short Form), Reynolds Adolescent Depression Scale, and Suicide Probability Scale were used for data collection. The data collected were analyzed electronically using descriptive statistics and correlation tests to examine relationships between different parameters.

RESULTS: The study revealed significant associations between academic achievement, daily sleep duration, and daily walking distance with depression and suicide probability (p < 0.05) among the participants. Adolescents who consumed food after 10 pm exhibited higher depression and suicide probability scores than their counterparts (p < 0.05). Additionally, an analysis of physical activity levels demonstrated that highly active adolescents had lower depression and suicide probability scores.

CONCLUSIONS: In conclusion, this study suggests that there is a significant relationship between eating at night, physical activity, and depression/suicide risk in adolescents. Specifically, academic success, daily sleep duration, daily walking distance, and eating habits were found to be associated with depression and suicide probability. Encouraging physical activity and healthy eating habits, particularly avoiding eating late at night, may be beneficial in reducing the risk of depression and suicide among adolescents.

PMID:38924640 | DOI:10.1111/jcap.12474

J Trauma Stress. 2024 Jun 25. doi: 10.1002/jts.23061. Online ahead of print.

ABSTRACT

Prolonged grief symptoms frequently co-occur with symptoms of depression, posttraumatic stress, and anxiety; however, little is known about how prolonged grief symptoms temporally relate to symptoms of neighboring stress-related and affective disorders. Clarifying such associations can help elucidate which symptoms to prioritize during treatment for distressed bereaved adults. We conducted a systematic review to provide a comprehensive overview of the empirical research on the bidirectional temporal associations between prolonged grief symptoms and symptoms of depression, posttraumatic stress, and anxiety. A search of the PsycInfo, Web of Science, and Scopus databases (final search: December 2023) identified eight relevant empirical longitudinal studies utilizing lower-level mediation (two studies), cross-lagged panel modeling (CLPM; four studies), or random-intercept CLPM (RI-CLPM; two studies). The studies included a total of 2,914 bereaved adult participants. Studies showed considerable methodological heterogeneity, including different sample characteristics, study designs (e.g., measurement moments, time frames), statistical analyses, and measures. Temporal associations between prolonged grief symptoms and different types of symptoms appeared intertwined. Prolonged grief symptoms more consistently predicted symptoms of depression and posttraumatic stress across measurement waves than vice versa, tentatively suggesting that prolonged grief may be a transdiagnostic risk factor for depressive and PTS symptoms. However, this pattern was not observed in the two studies utilizing RI-CLPM. Future research should aim to decrease methodological heterogeneity by using validated measures to capture prolonged grief symptoms, appropriate timeframes, and RI-CLPM to clarify associations between temporal within-person fluctuations of prolonged grief, depressive, posttraumatic stress, and anxiety symptoms.

PMID:38924632 | DOI:10.1002/jts.23061

Clin Pharmacol Drug Dev. 2024 Jun 26. doi: 10.1002/cpdd.1442. Online ahead of print.

ABSTRACT

This study investigates the pharmacokinetic properties and bioequivalence of 2 formulations of clopidogrel tablets administered to a cohort of healthy Moroccan male volunteers. The primary objective was to assess the rate and extent of drug absorption from the test formulation in comparison to a reference formulation, focusing on critical parameters including maximum plasma concentration (C_max), area under the concentration-time curve from 0 to the last measurable time (AUC_0-t), and area under the concentration-time curve extrapolated to infinity (AUC_0-∞). The results revealed that the geometric mean ratios of C_max, AUC_0-t, and AUC_0-∞ for the test formulation relative to the reference formulation were 105.7%, 105.6%, and 105.6%, respectively. The 90% confidence intervals for these parameters fell within the predefined bioequivalence range of 80%-125%, indicating a statistically and clinically equivalent performance between the 2 formulations. This investigation sheds light on the pharmacokinetic behavior of clopidogrel in the context of the Moroccan male population, offering valuable insights into the comparability of formulations.

PMID:38924629 | DOI:10.1002/cpdd.1442

Pharm Stat. 2024 Jun 25. doi: 10.1002/pst.2409. Online ahead of print.

ABSTRACT

Subgroup analysis may be used to investigate treatment effect heterogeneity among subsets of the study population defined by baseline characteristics. Several methodologies have been proposed in recent years and with these, statistical issues such as multiplicity, complexity, and selection bias have been widely discussed. Some methods adjust for one or more of these issues; however, few of them discuss or consider the stability of the subgroup assignments. We propose exploring the stability of subgroups as a sensitivity analysis step for stratified medicine to assess the robustness of the identified subgroups besides identifying possible factors that may drive this instability. After applying Bayesian credible subgroups, a nonparametric bootstrap can be used to assess stability at subgroup-level and patient-level. Our findings illustrate that when the treatment effect is small or not so evident, patients are more likely to switch to different subgroups (jumpers) across bootstrap resamples. In contrast, when the treatment effect is large or extremely convincing, patients generally remain in the same subgroup. While the proposed subgroup stability method is illustrated through Bayesian credible subgroups method on time-to-event data, this general approach can be used with other subgroup identification methods and endpoints.

PMID:38924620 | DOI:10.1002/pst.2409