Tag: pubmed

Hum Reprod. 2025 Jun 30:deaf121. doi: 10.1093/humrep/deaf121. Online ahead of print.

ABSTRACT

STUDY QUESTION: What is the incidence of and risk factors for monozygotic twinning (MZT) following single embryo transfer (SET) in ART cycles in Australia and New Zealand?

SUMMARY ANSWER: MZT occurred in 1.5% of live births following SET, with blastocyst transfer and fresh embryo transfer identified as key risk factors, while vitrified-thaw transfers were associated with a lower MZT risk.

WHAT IS KNOWN ALREADY: ART has been associated with a higher incidence of MZT compared to natural conception. Previous studies have suggested younger maternal age, blastocyst culture, fresh embryo transfer, and certain ART techniques, such as assisted hatching and preimplantation genetic testing may elevate MZT risk. However, findings have been inconsistent, and with many prior studies underpowered and few reflecting contemporary ART practices.

STUDY DESIGN, SIZE, DURATION: This retrospective cohort study analyzed data from 590 441 SET cycles conducted between 2009 and 2021 in Australia and New Zealand. The analysis included 154 671 live births following autologous SET cycles recorded in the Australian and New Zealand Assisted Reproductive Technology Database (ANZARD).

PARTICIPANTS/MATERIALS, SETTING, METHODS: The study focused on autologous fresh and thawed SET cycles. MZT incidence was estimated by applying Weinberg’s differential rule, which assumes a 1:1 ratio of sex-concordant and sex-discordant dizygotic twins in the population of twins born following SET cycles. A multivariable logistic regression model with generalized estimating equations was used to identify risk factors for MZT, adjusting for potential misclassification of zygosity due to the absence of DNA confirmation.

MAIN RESULTS AND THE ROLE OF CHANCE: The MZT rate was 1.5% among live births following SET. Blastocyst transfer was associated with a nearly 2-fold increase in MZT risk compared to cleavage-stage transfer (adjusted odds ratio [aOR] = 1.99, 95% CI: 1.71-2.31), and vitrified-thaw transfers had a lower MZT risk than fresh transfers (aOR = 0.87, 95% CI: 0.79-0.95). Sensitivity analyses supported these findings, with consistent MZT risk patterns across subgroups by maternal age, fertilization technique, and embryo transfer type (fresh/frozen).

LIMITATIONS, REASONS FOR CAUTION: Zygosity estimation was based on Weinberg’s differential rule rather than DNA testing, which could lead to some misclassification. Additionally, the study lacked data on embryo quality, a variable with potential influence on MZT risk, and was limited to a retrospective design, potentially introducing treatment and information biases.

WIDER IMPLICATIONS OF THE FINDINGS: This large-scale study identifies blastocyst transfer and fresh embryo transfer as significant MZT risk factor in ART, with potential implications for patient counseling and obstetric care. Future research should further investigate the mechanisms underlying these associations.

STUDY FUNDING/COMPETING INTEREST(S): Funding was received from the Ferring Pharmaceuticals Pty Ltd as part of the Ferring FSANZ Leaders in Fertility Research and Education grant (to R.C.P.). The sponsors had no role in the design and conduct of the study; data collection, management, analysis, and interpretation; manuscript preparation, review, or approval; or the decision to submit for publication. FSANZ contracts National Perinatal Epidemiology and Statistics Unit (NPESU) of the University of New South Wales (UNSW) to prepare annual reports and benchmarking reports from the ANZARD: one of those datasets is used in this study. R.C.P. is a Research Fellow of the NPESU, UNSW; C.A.V. is affiliated with the NPESU, UNSW; G.M.C. is an employee of the UNSW and is the Director of the NPESU, UNSW. C.A.V., based at Aristotle University of Thessaloniki (Greece), is a member of the Executive Board of the Hellenic Society of Fertility and Sterility and serves as Senior Deputy of the Steering Committee for the SIG Reproductive Endocrinology of ESHRE. C.A.V. also reports lecture and advisory roles from Merck Ltd, Merck Sharpe & Dohme, Ferring, Organon, Gedeon-Richter, IBSA, Vianex, and Sonapharm; travel support from Merck Ltd, Merck Sharpe & Dohme, Ferring, Organon, Gedeon-Richter, and Vianex; and holds stock or stock options in Virtus Health Ltd, all outside the submitted work. O.F. reports funding from Ferring Pharmaceuticals Pty Ltd, unrelated to this study.

TRIAL REGISTRATION NUMBER: N/A.

PMID:40587819 | DOI:10.1093/humrep/deaf121

JCO Clin Cancer Inform. 2025 Jul;9:e2500023. doi: 10.1200/CCI-25-00023. Epub 2025 Jun 30.

ABSTRACT

PURPOSE: This study aimed to investigate whether changes in step count, measured using patients’ own smartphones, could predict a clinical adverse event in the upcoming week in patients undergoing systemic anticancer treatments using machine learning models.

METHODS: This prospective observational cohort study included patients with various cancer types receiving systemic anticancer treatment. Physical activity was monitored continuously using patients’ own smartphones, measuring daily step count for 90 days during treatment. Clinical adverse events (ie, unplanned hospitalizations and treatment modifications) were extracted from medical records. Models predicting adverse events in the upcoming 7 days were created using physical activity data from the preceding 2 weeks. Machine learning models (elastic net [EN], random forest [RF], and neural network [NN]) were trained and validated on a 70:30 split cohort. Model performance was evaluated using the AUC.

RESULTS: Among the 76 patients analyzed (median age 61 [IQR, 53-69] years, 39 [51%] female), 11 (14%) were hospitalized during the study period. The median step count during the first week of systemic treatment was 4,303 [IQR, 1926-7,056]. Unplanned hospitalizations in the upcoming 7 days could be predicted with high accuracy using RF (AUC = 0.88), NN (AUC = 0.84), and EN (AUC = 0.83). The models could not predict treatment modifications (AUC = 0.28-0.51) or the occurrence of any clinically relevant adverse event (AUC = 0.32-0.50).

CONCLUSION: A decline in daily step counts can serve as an early predictor for hospitalizations in the upcoming 7 days, facilitating proactive and preventive toxicity management strategies.

PMID:40587817 | DOI:10.1200/CCI-25-00023

JMIR Form Res. 2025 Jun 30;9:e65617. doi: 10.2196/65617.

ABSTRACT

BACKGROUND: Challenges in emergency medicine include overcrowding, insufficient emergency care resources, and extended emergency department (ED) waiting times. These issues contribute to delays in treatment and unfavorable outcomes. This situation worsens in events with large crowds and particularly worsened during the COVID-19 pandemic. The integration of augmented reality (AR) smart glasses could potentially enhance patient care in the ED.

OBJECTIVE: This study aims to assess the effectiveness of AR smart glasses in reducing patient care time in the ED during the 19th Asian Games and the Fourth Asian Para Games Hangzhou 2022 (HAG2022). The study specifically compares the prepreparation time (PPT) and consult response time (CRT) in patients receiving teleconsultations via AR smart glasses versus those receiving standard care without AR.

METHODS: This retrospective study was conducted between September 13, 2023, and October 28, 2023, during HAG2022. The data were gathered from AR smart glasses using 5G technology at the HAG2022 village and electronic health records at Sir Run Run Shaw Hospital, China. The study included 2 groups: the teleconsultation by augmented reality telemedicine system (ARTS) group and the non-ARTS group. The main data assessed were PPT and CRT in ED.

RESULTS: During the research period, 80 patients were divided into 2 cohorts: the ARTS cohort (n=10) and the non-ARTS cohort (n=70). Gender and age demographics showed no significant differences between the cohorts. The ARTS cohort had a significantly lower average PPT of 23 minutes compared to the non-ARTS cohort’s 40.3 minutes (P<.001). In addition, CRT in the ARTS cohort was significantly lower at 15.6 minutes compared to the non-ARTS cohort’s 164.8 minutes (P=.03). The outcomes suggest that smart glasses are effective in decreasing PPT and CRT.

CONCLUSIONS: AR smart glasses have the potential to enhance patient admission efficiency and reduce care time in EDs. However, despite these benefits, further research is needed to confirm their effectiveness, and additional studies are essential to identify the challenges and barriers to their successful implementation in emergency medicine.

PMID:40587811 | DOI:10.2196/65617

J Craniofac Surg. 2025 Jun 30. doi: 10.1097/SCS.0000000000011597. Online ahead of print.

ABSTRACT

BACKGROUND: A successful surgery is guaranteed by the preoperative planning lineation. Existing line drawing materials often fade or vanish after sterilization. To avoid the disappearance and movement of the preoperative drawing line, the authors looked for an ideal marking material-tattoo stickers that could retain stability and precision following disinfection.

METHODS: Four groups-Methylene Blue, Tattoo Sticker, Black Whiteboard Pen, and Red Marker Pen-were created for a surgical line drawing model. The 4 materials were used to make straight lines on the skin. After drying, the Black Whiteboard Pen and Red Marker Pen lines were fixed with iodine tincture. Subsequently, the marked area was sterilized thrice with iodine tincture to observe the residual rate of the marked lines. ImageJ software was used to analyze residual rates among groups. The experiments were repeated 10 times for each group.

RESULTS: The residual rate was significantly higher in the Tattoo Sticker group than other groups. The differences between Methylene Blue and Tattoo Sticker groups, Black Whiteboard Pen and Tattoo Sticker groups, and Red Marker Pen and Tattoo Sticker groups were statistically significant (P<0.001).

CONCLUSIONS: Tattoo stickers are ideal surgical line-drawing materials with good resistance to dissolution and stability, remaining visible even after surgical disinfection.

PMID:40587765 | DOI:10.1097/SCS.0000000000011597

Medicine (Baltimore). 2025 Jun 27;104(26):e42859. doi: 10.1097/MD.0000000000042859.

ABSTRACT

Employing a bidirectional 2-sample Mendelian Randomization (MR) approach, this study endeavors to assess the potential causal relationship between attention deficit hyperactivity disorder (ADHD) and atherosclerosis (AS). Single nucleotide polymorphism loci, associated with ADHD at a significant threshold (P < 5 × 10-8), were meticulously screened from genome-wide association studies datasets to serve as instrumental variables. The primary outcomes under investigation encompass AS, coronary atherosclerosis, and cerebral atherosclerosis. Employing inverse variance weighted method (IVW), MR-Egger regression, weighted median method, simple mode and weighted mode, MR analyses were executed to systematically evaluate the causal relationships between ADHD and AS, coronary atherosclerosis, and cerebral atherosclerosis. The MR analysis reveals a positive and statistically significant causal relationship between ADHD and AS (OR = 1.167, 95% CI = 1.003-1.359, P = .046). Notably, no discernible causal links were identified between ADHD and coronary atherosclerosis or cerebral atherosclerosis. Furthermore, there is a lack of evidence supporting an augmented risk of AS, coronary atherosclerosis, or cerebral atherosclerosis associated with ADHD. Through MR analysis, it was found that ADHD increases the risk of AS. However, no causal association has been identified in studies and reverse studies investigating the relationship between ADHD and both coronary atherosclerosis and cerebral atherosclerosis. Therefore, while ADHD may elevate the susceptibility to AS, further investigations are warranted to clarify the exact nature of this association.

PMID:40587750 | DOI:10.1097/MD.0000000000042859

Medicine (Baltimore). 2025 Jun 27;104(26):e43022. doi: 10.1097/MD.0000000000043022.

ABSTRACT

This study aimed to assess neutrophil-to-high-density lipoprotein cholesterol ratio (NHR) and other inflammatory and biochemical parameters as potential biomarkers for predicting gestational hypertension (GH) and preeclampsia (PE) in pregnant women. A total of 180 pregnant women were enrolled and divided into 3 groups: 58 with GH, 42 with PE, and 80 normotensive controls. Clinical, demographic, and laboratory data (inflammatory markers, lipid profiles, liver enzyme levels, and kidney function) were also collected. NHR and other biomarkers such as C-reactive protein (CRP) and white blood cell counts were compared across the groups. Statistical analyses, including univariate and multivariate regression, were conducted to identify significant predictors of GH and PE. The NHR was significantly higher in the GH (4.5 ± 1.1) and PE (5.2 ± 1.2) groups than in the normotensive controls (3.6 ± 1.1, P ˂ .001). Inflammatory markers, such as CRP, white blood cell count, and monocyte levels, were elevated in the GH and PE groups. In addition, the levels of glucose, creatinine, and liver enzymes were notably higher in the PE group. The NHR demonstrated a positive correlation with CRP levels. Regression analysis revealed that the NHR (P < .001), CRP (P = .002), and platelet count (P < .001) were independent predictors of GH and PE. The NHR may serve as an early inflammatory biomarker for predicting GH and PE. This finding suggests that NHR, along with other biomarkers, could be incorporated into clinical practice to improve the early identification and management of hypertensive disorders during pregnancy. Further prospective studies are needed to confirm these results and evaluate their clinical utility.

PMID:40587749 | DOI:10.1097/MD.0000000000043022

Ann Hum Genet. 2025 Jun 27:e12606. doi: 10.1111/ahg.12606. Online ahead of print.

ABSTRACT

We review three areas of human genetics that have been developed in the past few decades, in which statistical innovation has made a crucial contribution with recent important advances and the potential for further rapid progress. The first topic is the development of mathematical models for the genealogy underlying samples of genome-wide genetic data. Coalescent theory emerged in the 1980s, leaped ahead in the past decade and is now burgeoning into new application areas in population, evolutionary and medical genetics. The second is the development of statistical methods for genome-wide association studies which has made great strides over two decades, including exciting recent developments for association testing based on coalescent theory and improved methods for trait prediction. Finally, we review the statistical ideas that helped resolve the controversies surrounding the introduction of forensic DNA profiling in the early 1990s. Big advances in interpretation of the predominant autosomal DNA profiles have set a benchmark for other areas of forensic science, but the statistical assessment of uniparentally inherited profiles (derived from the mitochondrial DNA or the Y chromosome) remains unsatisfactory.

PMID:40579738 | DOI:10.1111/ahg.12606

BMC Nurs. 2025 Jun 27;24(1):670. doi: 10.1186/s12912-025-03416-y.

ABSTRACT

BACKGROUND: Insufficient knowledge among assistant nurses (ANs) in nursing homes (NHs) on medicines and drug-related problems (DRPs) in older people causes difficulties in acknowledging the side effects of medications, which can be harmful to the individual and endangers patient safety. The aim of this study was to explore the ANs’ thoughts on their professional role in preventing DRPs in NH residents, their self-perceived knowledge about medicines, DRPs and physiological conditions in older people, and their wishes concerning further medical education.

METHODS: This mixed methods study took place in Sweden, in 2022. First, a survey was conducted at nine NHs, with a total of 112 respondents. Data were analysed using descriptive statistics and groups were compared using t-tests. Thereafter, semi-structured interviews were performed at four NHs and included 20 participants. A qualitative content analysis was performed.

RESULTS: In the survey, a generally good self-perceived knowledge of medicines was reported. In the interviews, three main categories were identified: “Professional role of the AN”, “Perspectives on pharmacotherapy in older people” and “Approaches to knowledge”. Their professional role entailed different aspects, including the central assignment of observing the residents whilst having delimited responsibilities and knowledge. Regarding pharmacotherapy, the self-perceived knowledge was generally good, but more specific questions regarding DRPs proved a lack of widespread competence. An approach to obtain more knowledge was found in the possibility for ANs to attend ward rounds. A latent theme emerged in the professional role of the AN in preventing DRPs by being the nurse’s eyes and ears for patient safety.

CONCLUSIONS: The AN’s perceived their professional role in preventing DRPs in NHs as being the nurse’s eyes and ears for patient safety. Generally, the ANs’ self-perceived knowledge of medicines was good, although self-perceived knowledge regarding DRPs, and the physiology of older people, was sparser. A positive attitude towards attending ward rounds to contribute firsthand information on the residents, as well as the opportunity to receive knowledge, existed among the respondents. We propose a working model within the framework of doctor’s ward rounds at NHs to increase the knowledge of ANs and utilise their knowledge of patients’ well-being for safe medication follow-up.

PMID:40579728 | DOI:10.1186/s12912-025-03416-y

Neurol Res Pract. 2025 Jun 27;7(1):46. doi: 10.1186/s42466-025-00404-0.

ABSTRACT

BACKGROUND: Acute stroke care has evolved markedly in recent decades, yet long-term trends across stroke subtypes remain understudied. This study analyzed national trends in inpatient stroke care for ischemic stroke (IS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH) in Germany from 2000 to 2021.

METHODS: We conducted a retrospective analysis of nationwide hospital administrative data, assessing annual case counts, age-standardized rates, mean length of stay, and annual inpatient case days (AICD). Stroke unit (SU) treatments were analyzed from 2005 onward. Joinpoint regression identified changes in trends over time.

RESULTS: IS case rates, length of stay, and AICD declined significantly until 2005/2006, after which they stabilized at remarkably high levels. Paralleled by a rapid expansion of SU care, in-hospital mortality from IS decreased significantly. Coding of unspecified stroke (I64) declined steeply, suggesting shifts in diagnostic precision. In contrast, ICH and SAH showed falling case rates but increasing lengths of stay, particularly among deceased patients. SU treatments rose continuously from 2005 to 2021, with age-standardized rates increasing by 7.1% annually.

CONCLUSIONS: Over two decades, total inpatient burden from stroke has declined, primarily due to reductions in IS admissions and mortality. However, longer hospital stays in SAH and ICH and an overall rising SU care indicate shifting but consistently high resource requirements. Thus, continued efforts in optimizing healthcare infrastructure seem reasonable and should consider a subtype-specific resource allocation in acute stroke care.

PMID:40579722 | DOI:10.1186/s42466-025-00404-0

Eur Geriatr Med. 2025 Jun 27. doi: 10.1007/s41999-025-01251-7. Online ahead of print.

ABSTRACT

PURPOSE: Frailty, a state of increased vulnerability to adverse health outcomes, impacts individuals and healthcare systems. The cumulative deficit model provides a flexible frailty measure but its application across diverse data remains underexplored. This study compares frailty indices derived from survey and routine data.

METHODS: Frailty indices in the Clinical Practice Research Datalink (CPRD) Aurum (N = 1,625,677) and the English Longitudinal Study of Ageing (ELSA) (N = 5190) were compared for adults aged 65 + in England. Deficits were categorised as “one-to-one”, “one-to-many”, and “one-to-none”. Age-sex-standardised deficit prevalence, frailty distribution and associations with demographics were analysed using summary statistics and regression.

RESULTS: Mean frailty index scores were similar (CPRD: 0.13 ± 0.10; ELSA: 0.13 ± 0.12) but differences were observed in the capture of specific deficits. The majority of deficits had a “one-to-none” or “one-to-many” mapping. Among 14 comparable deficits, visual impairment, fractures and heart failure were more common in CPRD, while falls, sleep disturbance and arthritis were more frequent in ELSA. Severe frailty and greater fitness were more prevalent in ELSA than CPRD. Sex and age influenced frailty similarly in both datasets, with frailty index scores increasing more rapidly with age in CPRD.

CONCLUSION: Differences in the number and types of deficits measured offset each other overall, supporting the cumulative deficit model’s premise that including a sufficient range of deficits does not significantly alter population-level frailty measures. This interchangeability may alleviate concerns about deficit selection, supporting more flexible approaches to population frailty assessment across both survey and routine data.

PMID:40579683 | DOI:10.1007/s41999-025-01251-7