Category: Statistics

Opt Lett. 2024 May 1;49(9):2489-2492. doi: 10.1364/OL.517088.

ABSTRACT

Point scanning retinal imaging modalities, including confocal scanning light ophthalmoscopy (cSLO) and optical coherence tomography, suffer from fixational motion artifacts. Fixation targets, though effective at reducing eye motion, are infeasible in some applications (e.g., handheld devices) due to their bulk and complexity. Here, we report on a cSLO device that scans the retina in a spiral pattern under pseudo-visible illumination, thus collecting image data while simultaneously projecting, into the subject’s vision, the image of a bullseye, which acts as a virtual fixation target. An imaging study of 14 young adult volunteers was conducted to compare the fixational performance of this technique to that of raster scanning, with and without a discrete inline fixation target. Image registration was used to quantify subject eye motion; a strip-wise registration method was used for raster scans, and a novel, to the best of our knowledge, ring-based method was used for spiral scans. Results indicate a statistically significant reduction in eye motion by the use of spiral scanning as compared to raster scanning without a fixation target.

PMID:38691751 | DOI:10.1364/OL.517088

Opt Lett. 2024 May 1;49(9):2209-2212. doi: 10.1364/OL.515749.

ABSTRACT

Under spatially incoherent illumination, time-domain full-field optical coherence tomography (FFOCT) offers the possibility to achieve in vivo retinal imaging at cellular resolution over a wide field of view. Such performance is possible, albeit there is the presence of ocular aberrations even without the use of classical adaptive optics. While the effect of aberrations in FFOCT has been debated these past years, mostly on low-order and static aberrations, we present, for the first time to our knowledge, a method enabling a quantitative study of the effect of statistically representative static and dynamic ocular aberrations on FFOCT image metrics, such as SNR, resolution, and image similarity. While we show that ocular aberrations can decrease FFOCT SNR and resolution by up to 14 dB and fivefold, we take advantage of such quantification to discuss different possible compromises between performance gain and adaptive optics complexity and speed, to optimize both sensor-based and sensorless FFOCT high-resolution retinal imaging.

PMID:38691681 | DOI:10.1364/OL.515749

Am J Ther. 2024 May-Jun 01;31(3):e246-e257. doi: 10.1097/MJT.0000000000001744. Epub 2024 Apr 29.

ABSTRACT

BACKGROUND: Nirmatrelvir/ritonavir (NMV/r) is an oral antiviral drug used to treat mild-to-moderate coronavirus disease 2019 (COVID-19) in patients aged 12 years or older at high risk of progression to severe disease (eg, hospitalization and death). Despite being the preferred option for outpatient treatment in the majority of countries worldwide, NMV/r is currently underutilized in real-world clinical practice.

AREAS OF UNCERTAINTY: As numerous real-world studies have described patient outcomes following treatment with NMV/r, this systematic literature review provides a comprehensive summary of evidence on NMV/r effectiveness against hospitalization and mortality further organized by clinically meaningful categories, such as acute versus longer-term follow-up, age, underlying health conditions, and vaccination status, to help inform health care decision making.

DATA SOURCES: We searched Embase and PubMed (December 22, 2021-March 31, 2023) and congress abstracts (December 1, 2021-December 31, 2022) for reports describing NMV/r effectiveness.

THERAPEUTIC ADVANCES: In total, 18 real-world studies met final selection criteria. The evidence showed that NMV/r significantly reduced postinfection risk of all-cause and COVID-19-related hospitalization and mortality in both acute (≤30 days) (21%-92%) and longer-term (>30 days) (1%-61%) follow-up. The reduction in postinfection risk was higher when treatment was received within 5 days of symptom onset. Real-world effectiveness of NMV/r treatment was observed regardless of age, underlying high-risk conditions, and vaccination status.

CONCLUSION: The systematic literature review findings demonstrated the effectiveness of NMV/r against hospitalization and mortality during the Omicron period among individuals at high risk of progression to severe COVID-19 disease.

PMID:38691664 | DOI:10.1097/MJT.0000000000001744

Am J Ther. 2024 May-Jun 01;31(3):e237-e245. doi: 10.1097/MJT.0000000000001753.

ABSTRACT

BACKGROUND: Sex differences (SDs) in pharmacology of cardiovascular (CV) drugs have been described previously; however, paradoxically, there are scarce recommendations in therapy based on these differences. It is of utmost importance to identify whether these SDs determine a modified clinical response and the potential practical implications for this, to provide a base for personalized medicine.

AREA OF UNCERTAINTY: The aim of this article was to outline the most important pharmacological drivers of cardiovascular drugs that differ between women and men, along with their implications and challenges in clinical practice.

DATA SOURCES: A detailed assessment of English-written resources reflecting SDs impact in CV drug pharmacology was performed using PubMed and Embase databases.

RESULTS: Despite large variations in CV drug pharmacokinetics and pharmacodynamics in individuals, correcting for height, weight, surface area, and body composition compensate for most “sex-dependent” differences. In addition, individual, cultural, and social factors significantly impact disease management in women versus men. Gender-biased prescribing patterns and gender-dependent adherence to therapy also influence outcomes. The development of sex-specific guidelines requires that they should reflect the SDs implications for the management of a disease and that the evidence should be carefully evaluated as to whether there is an adequate representation of both sexes and whether sex-disaggregated data are reported.

CONCLUSIONS: Pharmacological drivers are under the influence of an impressive number of differences between women and men. However, to establish their significance in clinical practice, an adequate representation of women in studies and the reporting of distinct results is mandatory.

PMID:38691663 | DOI:10.1097/MJT.0000000000001753

Am J Ther. 2024 May-Jun 01;31(3):e219-e228. doi: 10.1097/MJT.0000000000001729.

ABSTRACT

BACKGROUND: Patients with schizophrenia often face challenges related to cognitive function, affecting their daily functioning and overall quality of life. The choice of antipsychotic treatment may play a crucial role in determining cognitive outcomes.

STUDY QUESTION: Our study aimed to investigate whether there was a difference in cognitive ability between the patients with schizophrenia receiving oral antipsychotics (OAP) versus long-acting injectable antipsychotics (LAI-APs).

STUDY DESIGN: We conducted a cross-sectional study using analytical methods between January 1, 2020, and January 1, 2022. Participants were divided into 2 groups: patients undergoing treatment with OAP and patients undergoing treatment with LAI-AP. All participants underwent version A of Brief Assessment of Cognition in Schizophrenia (BACS).

MEASURES AND OUTCOMES: The primary objective was to compare cognitive function in patients with schizophrenia treated with LAI antipsychotics versus OAP using BACS. Primary outcome measures include overall BACS score, with secondary measures focusing on specific cognitive domains. This study contributes to the understanding of the cognitive effects of different antipsychotic formulations in schizophrenia treatment.

RESULTS: Although there was a slightly higher intelligence quotient in the LAI-AP group (102.2 vs. 101.32, P = 0.5401), it was not statistically significant. Olanzapine was the most commonly prescribed antipsychotic, with 48% of patients in the LAI-AP group and 40% in the OAP group. The LAI-AP group outperformed in all BACS evaluations. The most notable difference was in the token motor task (57.78 ± 17.03 vs. 50.04 ± 18.82, P = 0.0335), while the Tower of London test showed the smallest difference (17.26 ± 2.61 vs. 15.48 ± 3.47, P = 0.0046). Regression analysis revealed no significant variance in intelligence quotient scores; however, a significant discrepancy in BACS scores was evident, favoring the LAI treatment for better cognitive outcomes.

CONCLUSIONS: The use of long-acting antipsychotic treatment in individuals with schizophrenia offers promising advantages in preserving cognitive function.

PMID:38691662 | DOI:10.1097/MJT.0000000000001729

Online J Public Health Inform. 2024 May 1;16:e51092. doi: 10.2196/51092.

ABSTRACT

BACKGROUND: The rapidly increasing availability of medical data in electronic health records (EHRs) may contribute to the concept of learning health systems, allowing for better personalized care. Type 2 diabetes mellitus was chosen as the use case in this study.

OBJECTIVE: This study aims to explore the applicability of a recently developed patient similarity-based analytics approach based on EHRs as a candidate data analytical decision support tool.

METHODS: A previously published precision cohort analytics workflow was adapted for the Dutch primary care setting using EHR data from the Nivel Primary Care Database. The workflow consisted of extracting patient data from the Nivel Primary Care Database to retrospectively generate decision points for treatment change, training a similarity model, generating a precision cohort of the most similar patients, and analyzing treatment options. This analysis showed the treatment options that led to a better outcome for the precision cohort in terms of clinical readouts for glycemic control.

RESULTS: Data from 11,490 registered patients diagnosed with type 2 diabetes mellitus were extracted from the database. Treatment-specific filter cohorts of patient groups were generated, and the effect of past treatment choices in these cohorts was assessed separately for glycated hemoglobin and fasting glucose as clinical outcome variables. Precision cohorts were generated for several individual patients from the filter cohorts. Treatment options and outcome analyses were technically well feasible but in general had a lack of statistical power to demonstrate statistical significance for treatment options with better outcomes.

CONCLUSIONS: The precision cohort analytics workflow was successfully adapted for the Dutch primary care setting, proving its potential for use as a learning health system component. Although the approach proved technically well feasible, data size limitations need to be overcome before application for clinical decision support becomes realistically possible.

PMID:38691393 | DOI:10.2196/51092

Psychophysiology. 2024 May 1:e14596. doi: 10.1111/psyp.14596. Online ahead of print.

ABSTRACT

Cognitive dysfunction constitutes a core characteristic of schizophrenia spectrum disorders (SZ). Specifically, deficits in updating generative models (i.e., cognitive flexibility) and shielding against distractions (i.e., cognitive stability) are considered critical contributors to cognitive impairment in these patients. Here, we examined the structural integrity of frontostriatal networks and their associations with reduced cognitive stability and flexibility in SZ patients. In a sample of 21 patients diagnosed with SZ and 22 healthy controls, we measured gray matter volume (GMV) using structural MRI. Further, cognitive stability and flexibility were assessed using a switch-drift paradigm, quantifying the successful ignoring of distracters and detection of rule switches. Compared to controls, patients showed significantly smaller GMV in the whole brain and three predefined regions of interest: the medial prefrontal cortex (mPFC), inferior frontal gyrus (IFG), and caudate nucleus (CN). Notably, GMV in these areas positively correlated with correct rule-switch detection but not with ignoring rule-compatible drifts. Further, the volumetric differences between SZ patients and controls were statistically explainable by considering the behavioral performance in the switch-drift task. Our results indicate that morphological abnormalities in frontostriatal networks are associated with deficient flexibility in SZ patients and highlight the necessity of minimizing neurodevelopmental and progressive brain atrophy in this population.

PMID:38691383 | DOI:10.1111/psyp.14596

JAMA Psychiatry. 2024 May 1. doi: 10.1001/jamapsychiatry.2024.0818. Online ahead of print.

ABSTRACT

IMPORTANCE: Prospective and retrospective measures of childhood maltreatment identify largely different groups of individuals. However, it is unclear if these measures are differentially associated with psychopathology.

OBJECTIVE: To analyze the associations of prospective and retrospective measures of childhood maltreatment with psychopathology.

DATA SOURCES: Based on a preregistered protocol, Embase, PsycInfo, and MEDLINE were searched for peer-reviewed studies published by January 1, 2023, that measured the associations of prospective and retrospective measures of child maltreatment with psychopathology.

STUDY SELECTION: Titles and abstracts of all articles captured by the search and full texts of potentially eligible studies were independently screened by 2 authors. Observational studies with measures of the association of prospective and retrospective measures of childhood maltreatment with psychopathology were included.

DATA EXTRACTION AND SYNTHESIS: Multiple investigators independently extracted data. Multilevel random-effects meta-analyses were used to pool the results and test predictors of heterogeneity.

MAIN OUTCOME AND MEASURES: Associations between prospective or retrospective measures of child maltreatment and psychopathology, both unadjusted and adjusted (ie, the association between prospective measures of maltreatment and psychopathology adjusted for retrospective measures, and vice versa), and moderation of these associations by preselected variables.

RESULTS: The meta-analyses were based on 24 studies including 15 485 individuals (51.0% female; mean age, 21.3 years at retrospective report). Retrospective measures of childhood maltreatment showed stronger associations with psychopathology relative to prospective measures in both unadjusted analyses (retrospective measures: odds ratio [OR], 2.21; 95%, 1.94-2.42 vs prospective measures: OR, 1.56; 95% CI, 1.39-1.76) and adjusted analyses (retrospective measures: OR, 2.14; 95% CI, 1.90-2.42 vs prospective measures: OR, 1.27; 95% CI, 1.13-1.41). There was no statistically significant moderation of the unadjusted or adjusted associations between prospective measures of child maltreatment and psychopathology. The associations between retrospective measures and psychopathology were stronger when the assessment of psychopathology was based on self-reports and was focused on internalizing or emotional disorders.

CONCLUSIONS AND RELEVANCE: Psychopathology is more strongly associated with retrospective measures-which capture the first-person, subjective appraisal of childhood events reflected in memory recall-compared to prospective measures-which essentially capture third-person accounts of such events. Maltreatment-related psychopathology may be driven by subjective interpretations of experiences, distressing memories, and associated schemas, which could be targeted by cognitive interventions.

PMID:38691376 | DOI:10.1001/jamapsychiatry.2024.0818

JAMA Netw Open. 2024 May 1;7(5):e243674. doi: 10.1001/jamanetworkopen.2024.3674.

NO ABSTRACT

PMID:38691365 | DOI:10.1001/jamanetworkopen.2024.3674

JAMA Netw Open. 2024 May 1;7(5):e249233. doi: 10.1001/jamanetworkopen.2024.9233.

NO ABSTRACT

PMID:38691363 | DOI:10.1001/jamanetworkopen.2024.9233