Diagnosis Of People Research Articles

Gender Bias When Using Artificial Intelligence to Assess Anorexia Nervosa on Social Media: Data-Driven Study.

Social media sites are becoming an increasingly important source of information about mental health disorders. Among them, eating disorders are complex psychological problems that involve unhealthy eating habits. In particular, there is evidence showing that signs and symptoms of anorexia nervosa can be traced in social media platforms. Knowing that input data biases tend to be amplified by artificial intelligence algorithms and, in particular, machine learning, these methods should be revised to mitigate biased discrimination in such important domains. The main goal of this study was to detect and analyze the performance disparities across genders in algorithms trained for the detection of anorexia nervosa on social media posts. We used a collection of automated predictors trained on a data set in Spanish containing cases of 177 users that showed signs of anorexia (471,262 tweets) and 326 control cases (910,967 tweets). We first inspected the predictive performance differences between the algorithms for male and female users. Once biases were detected, we applied a feature-level bias characterization to evaluate the source of such biases and performed a comparative analysis of such features and those that are relevant for clinicians. Finally, we showcased different bias mitigation strategies to develop fairer automated classifiers, particularly for risk assessment in sensitive domains. Our results revealed concerning predictive performance differences, with substantially higher false negative rates (FNRs) for female samples (FNR=0.082) compared with male samples (FNR=0.005). The findings show that biological processes and suicide risk factors were relevant for classifying positive male cases, whereas age, emotions, and personal concerns were more relevant for female cases. We also proposed techniques for bias mitigation, and we could see that, even though disparities can be mitigated, they cannot be eliminated. We concluded that more attention should be paid to the assessment of biases in automated methods dedicated to the detection of mental health issues. This is particularly relevant before the deployment of systems that are thought to assist clinicians, especially considering that the outputs of such systems can have an impact on the diagnosis of people at risk.

Impact of Seizures While Driving Prior to Diagnosis in People With Focal Epilepsy: Motor Vehicle Accidents and Time to Diagnosis.

To identify the type, frequency, and consequences of seizures while driving (SzWD) in people with epilepsy before diagnosis. We performed a retrospective cohort study using the Human Epilepsy Project (HEP) to identify prediagnostic SzWD. Clinical descriptions from seizure diaries and medical records were used to classify seizure types and frequencies, time to diagnosis, and SzWD outcomes. Data were modeled using multiple logistic regression to assess for factors independently associated with SzWD. 32 prediagnostic SzWD were reported among 23/447 (5.1%) participants. Of them, 7 (30.4%) had more than 1. Six participants (26.1%) experienced SzWD as their first lifetime seizure. Most SzWD were focal with impaired awareness (n = 27, 84.4%). Of participants who had motor vehicle accidents (MVAs), 6 (42.9%) had no recollection. SzWD led to hospitalization in 11 people. The median time from first seizure to first SzWD was 304 days (IQR = 0-4,056 days). The median time between first SzWD and diagnosis was 64 days (IQR = 10-176.5 days). Employment was associated with a 3.95-fold increased risk of SzWD (95% CI 1.2-13.2, p = 0.03), and nonmotor seizures were associated with a 4.79-fold increased risk (95% CI 1.3-17.6, p = 0.02). This study identifies the consequences of seizure-related MVAs and hospitalizations people experience before epilepsy diagnosis. This highlights the need for further research aimed at improving seizure awareness and improving time to diagnosis.

Chronic Low Back Pain: A Narrative Review of Recent International Guidelines for Diagnosis and Conservative Treatment

Chronic low back pain (cLBP) is a public and occupational health problem that is a major professional, economic and social burden. We aimed to provide a critical overview of current international recommendations regarding the management of non-specific cLBP. We conducted a narrative review of international guidelines for the diagnosis and conservative treatment of people with non-specific cLBP. Our literature search yielded five reviews of guidelines published between 2018 and 2021. In these five reviews, we identified eight international guidelines that fulfilled our selection criteria. We added the 2021 French guidelines into our analysis. Regarding diagnosis, most international guidelines recommend searching for so-called yellow, blue and black flags, in order to stratify the risk of chronicity and/or persistent disability. The relevance of clinical examination and imaging are under debate. Regarding management, most international guidelines recommend non-pharmacological treatments, including exercise therapy, physical activity, physiotherapy and education; however, multidisciplinary rehabilitation, in selected cases, is the core treatment recommended for people with non-specific cLBP. Oral, topical or injected pharmacological treatments are under debate, and may be offered to selected and well-phenotyped patients. The diagnosis of people with cLBP may lack precision. All guidelines recommend multimodal management. In clinical practice, the management of individuals with non-specific cLBP should combine non-pharmacological and pharmacological treatments. Future research should focus on improving tailorization.

Clinical and diagnostic features of skin cancer on darker skin

Although the rates of melanoma and nonmelanoma skin cancer are generally lower in people with darker skin tones compared to people with fairer skin tones, there is ahigher rate of misdiagnosis and delay in diagnosis in people of color, which in turn increases the risk of aworse treatment outcome for these patients.

Effect of the introduction of screening for cancer precursor lesions on anal cancer incidence over time in people living with HIV: a nationwide cohort study

Incidence of anal cancer is high in people living with HIV, particularly in men who have sex with men (MSM). Screening for and treatment of precursor lesions might prevent progression to anal cancer in people living with HIV. We examined trends in incidence of and mortality after anal cancer diagnosis in people living with HIV, including the effect of screening from 2007 onwards, in the Netherlands. In this observational cohort study, we analysed data from the ongoing open nationwide Dutch AIDS Therapy Evaluation in the Netherlands (ATHENA) cohort. We included all consenting adults living with HIV and identified all primary anal squamous cell carcinoma. We reported temporal trends in incident anal cancer cases from Jan 1, 1996, to Dec 31, 2020, and all-cause and anal cancer-related mortality in individuals diagnosed with anal cancer. Multivariable Poisson regression was used to explore risk factors for incident anal cancer and multivariable Cox regression was used to explore risk factors for anal cancer-related mortality. Among 28 175 individuals in HIV care (59·7% MSM), 227 primary anal cancer cases were diagnosed. Despite the increasing average age of the cohort, crude incidence rates of anal cancer in MSM declined slowly over time, from 107·0 (95% CI 75·7-147·0) per 100 000 person-years in 1996-2005 to 93·7 (75·3-115·0) per 100 000 person-years in 2013-20 (p=0·49). Crude incidence rates in men who do not have sex with men (non-MSM) and women were generally lower than in MSM, but increased slightly over time, from 51·08 (95% CI 20·54-105·25) to 67·82 (40·83-105·91; p=0·52) per 100 000 person-years in non-MSM and from 8·09 (0·20-45·06) to 24·95 (10·03-51·40; p=0·29) per 100 000 person-years in women. The age-adjusted incidence rate in MSM in 2013-20 was significantly lower (rate ratio 0·62 [95% CI 0·41-0·92]) compared with in 1996-2005. Changes in risk factors (less smoking, cumulative exposure to CD4 count of <200 cells per μL, and plasma HIV-1 RNA of >1000 copies per mL) mostly explained the decrease in anal cancer risk over time in MSM. 3866 (23·0%) of 16 819 MSM participated in anal cancer screening at least once. TNM tumour staging was more favourable (Cochrane-Armitage test for trend p=0·033) in individuals diagnosed during screening. Crude anal cancer-associated 5-year mortality in people living with HIV decreased from 30·4% (1996-2005) to 18·3% (2013-20; odds ratio 0·48; p=0·070). Anal cancer-related mortality was 3·7% (95% CI 0·5-23·5) in all men who had been screened and 24·0% (95% CI 18·1-31·3) in men who had not been screened (p=0·023). In men, screening participation (hazard ratio [HR] 0·31, p=0·051) and cumulative exposure to CD4 counts of less than 200 cells per μL (HR 1·11 per year; p=0·0022) were independently associated with anal cancer-related mortality. As anal cancer incidence is slowly declining in MSM but not in non-MSM and women, health-care professionals should not focus only on MSM for anal cancer prevention. Men diagnosed with anal cancer during screening had improved survival, probably because they were diagnosed at an earlier disease stage. Next to preventing anal cancer, these data are an important justification to screen those most at risk of anal cancer. None.

RFFE - Random Forest Fuzzy Entropy for the classification of Diabetes Mellitus.

Diabetes is a category of metabolic disease commonly known as a chronic illness. It causes the body to generate less insulin and raises blood sugar levels, leading to various issues and disrupting the functioning of organs, including the retinal, kidney and nerves. To prevent this, people with chronic illnesses require lifetime access to treatment. As a result, early diabetes detection is essential and might save many lives. Diagnosis of people at high risk of developing diabetes is utilized for preventing the disease in various aspects. This article presents a chronic illness prediction prototype based on a person's risk feature data to provide an early prediction for diabetes with Fuzzy Entropy random vectors that regulate the development of each tree in the Random Forest. The proposed prototype consists of data imputation, data sampling, feature selection, and various techniques to predict the disease, such as Fuzzy Entropy, Synthetic Minority Oversampling Technique (SMOTE), Convolutional Neural Network (CNN) with Stochastic Gradient Descent with Momentum (SGDM), Support Vector Machines (SVM), Classification and Regression Tree (CART), K-Nearest Neighbor (KNN), and Naïve Bayes (NB). This study uses the existing Pima Indian Diabetes (PID) dataset for diabetic disease prediction. The predictions' true/false positive/negative rate is investigated using the confusion matrix and the receiver operating characteristic area under the curve (ROCAUC). Findings on a PID dataset are compared with machine learning algorithms revealing that the proposed Random Forest Fuzzy Entropy (RFFE) is a valuable approach for diabetes prediction, with an accuracy of 98 percent.

Cognitive-Perceptive and Psychomotor Relationships in Students with Autism Spectrum Disorder

This article analyzes the relationship between symptomatic groups that make up the diagnosis of people with Autistic Spectrum Disorder (ASD) and the motor structure themselves to design a global intervention program facilitating integrated psychosocial development. A total of 28 participants with ASD participated in this experimental study. Correlation analysis observed to three variables- dimensions: diagnostic, cognition and psychomotor variables show significant data regarding interactions between to three dimensions statistically calculated. So variables of diagnostic dimension correlate with cognitive variables (r= .896) and with psychomotor dimension (r= 682). Likewise, cognitive dimension correlate significantly with motor dimension (r= .766). Finally, it´s designed an integral systemic psychoeducational program to facilitate global development of people with ASD.

Determinants of sputum ordering for tuberculosis diagnosis in people living with HIV in the Greater Accra Region, Ghana

Determinants of sputum ordering for tuberculosis diagnosis in people living with HIV in the Greater Accra Region, Ghana

Psychosocial beliefs of health providers' intention and behavior of offering HIV testing and counseling services: Estimating their relevance for intervention.

Diagnosis of people with HIV is vital in achieving the 95-95-95 global targets. The proportion of people with HIV who know they have HIV in Sudan is low. Promoting engagement of healthcare providers (HCPs) in offering HIV Testing and Counseling (HTC) services would improve the percentage of diagnosed people with HIV in the country. This study aims to assess the psychosocial beliefs associated with HCPs' intention and behavior to offer HTC services and their relevance for intervention. This institutional cross-sectional study was conducted in Kassala State, from July 2019 to February 2020, among 438 healthcare providers from public health facilities. A self-administered questionnaire was used to assess behavior and intention to offer HTC services and related behavioral, normative, and control beliefs. Data were analyzed using R software. Confidence Interval Based Estimation of Relevance (CIBER) was used to estimate the relevance of the beliefs to interventions. The CIBER analysis showed that the belief "It causes many worries for patients if I offer or counsel them about HIV test" was negatively associated with HCPs' intention and behavior to offer HTC services and a highly relevant belief for intervention. The belief "My manager thinks I should offer or counsel patients about HIV test" was positively associated with the behavior and intention to offer HTC services and was a relatively highly relevant belief. The control belief "Patients are at low risk of HIV and do not need offering or counseling about HIV test" was negatively associated with HCPs' intention and behavior and was relevant for intervention. The control belief "If I offered or counseled patients about HIV test, I would spend more time with them" was negatively associated with the intention and behavior of HCPs toward HTC services, with high relevance to target with intervention. The belief "My colleagues think I should offer or counsel patients about HIV test" was weakly associated with behavior and intention, and it is a low relevant belief for intervention. Different psychosocial beliefs among healthcare providers can influence their intention and behavior to offer HTC services to patients. More relevant beliefs are required to be targeted with interventions to promote the intention and behavior of providing HTC services among health care providers.

Sedentary Behaviour, Physical Activity, and Their Associations with Health Outcomes at the Time of Diagnosis in People with Inoperable Lung Cancer.

This study aimed to examine sedentary behaviour (SB), physical activity (PA) and their associations with health-related measures at the time of diagnosis in people with inoperable lung cancer. People newly diagnosed with inoperable lung cancer were invited to participate in the study and asked to wear an accelerometer for seven consecutive days. Variables analysed included time spent in SB, light intensity PA (LIPA) and moderate-to-vigorous intensity PA (MVPA). Daily steps were also recorded. Data on symptoms, health-related quality of life (HRQoL), hand grip force, comorbidities and lung function were collected. Of the 120 patients referred to the study, 89 (74%) consented to participate, and SB/PA data were available for 79 (age 71 ± 11 years; 29 females). Participants spent 71% of their waking time in SB, 28% in LIPA and 1% in MVPA. Regression models demonstrated that increased SB was associated with more symptoms of fatigue and dyspnoea (p ≤ 0.02 for both), poorer HRQoL (general health and physical component score; p ≤ 0.02 for all) and lower hand grip force. For PA variables, higher daily step count was associated with better scores in all health-related measures (p < 0.05 for all). LIPA was associated with more health-related outcomes than MVPA. These findings may guide future interventions in this population.

Effect of FGFR2 Alterations on Overall and Progression-Free Survival in Patients Receiving Systemic Therapy for Intrahepatic Cholangiocarcinoma.

BackgroundFirst-line standard-of-care therapy for advanced cholangiocarcinoma is gemcitabine plus cisplatin; there is no established second-line systemic therapy. Fibroblast growth factor receptor (FGFR)-2 fusions/rearrangements can be oncogenic drivers, occurring almost exclusively in intrahepatic cholangiocarcinoma, but little is known about whether FGFR2 status affects the response to systemic chemotherapy.ObjectiveWe aimed to evaluate the effects of FGFR2 status on survival outcomes in patients receiving systemic therapy for intrahepatic cholangiocarcinoma.MethodsIn this retrospective analysis, patients treated with systemic therapy at Memorial Sloan Kettering Cancer Center for intrahepatic cholangiocarcinoma were categorized into three cohorts: FGFR2 fusions; other FGFR2 alterations; no FGFR2 alterations. Endpoints were overall survival and progression-free survival per therapy line.ResultsIn total, 132 patients with intrahepatic cholangiocarcinoma were included (FGFR2 fusions, n = 15; other FGFR2 alterations, n = 2 [data not reported]; no FGFR2 alterations, n = 115). First-line therapy was platinum based in 93% of patients; 80% received platinum/pyrimidine-based second-line therapy. For patients with FGFR2 fusions and no FGFR2 alterations, respectively, median overall survival from diagnosis was 31.3 months (95% confidence interval [CI] 5.8–not estimable months) [n = 9] and 21.7 months (95% CI 16.1–26.6) [n = 109]; median progression-free survival in first-line therapy was 6.2 months (95% CI 2.0–16.8) [n = 15] and 7.2 months (95% CI 5.0–8.3) [n = 107], and median progression-free survival in second-line therapy was 5.6 months (95% CI 2.8–10.3) [n = 8] and 3.7 months (95% CI 2.6–5.6) [n = 81].ConclusionsPatients with intrahepatic cholangiocarcinoma and FGFR2 fusions may have a better prognosis than those without FGFR2 alterations in terms of overall survival, and progression-free survival on second-line, but not first-line systemic therapy. Progression-free survival improvement on second-line chemotherapy may imply an important impact of prior chemotherapy as first line.

Small intestinal bacterial overgrowth - small intestine, big struggle

The gut microbiota plays an important role in the proper functioning of the human body. The microbes present in the intestines are important for the correct functioning of the digestive tract as well as other, often distant, organs of the human body. Unfavorable conditions may lead to an imbalance of intestinal microorganisms, leading to unfavorable consequences.&#x0D; Under physiological conditions, the large intestine is inhabited by a significant amount of bacteria, while the small intestine contains only a small amount of them. The appearance of pathological conditions in the gastrointestinal tract may lead to the colonization of the small intestine by an excessive amount of bacteria, which, in combination with gastrointestinal symptoms, is called small intestinal bacterial overgrowth. The most common symptoms associated with this disease are abdominal pain, diarrhea, and gas.&#x0D; It is difficult to diagnose this disease due to the lack of specific symptoms and imperfect diagnostic methods. The highest quality test is the microbiological test, however, due to the invasiveness of the method and the difficulties with precise collection of the material, less invasive tests are used, primarily the hydrogen breath test.&#x0D; The mainstay of treatment of bacterial overgrowth is antibiotic therapy, which aims to reduce the amount of bacteria to the extent that the patient does not feel the disease. It is also important to eat a diet rich in fiber and low in fermenting oligo-, di- and monosaccharides and polyols.&#x0D; Patients with the small intestinal bacterial overgrowth rarely develop symptoms of a severe course of the disease, however, due to the unpleasant symptoms and relatively easy treatment methods, the disease should be included in the differential diagnosis in people with risk factors and present symptoms.

Elevated neopterin in tuberculosis and co-infection with HIV and the effect of treatment: A systematic review, meta-analysis, and meta-regression

BackgroundNeopterin (NEO) is a marker of immune stimulation. Increased NEO levels have been associated with autoimmune diseases, infections, and malignancies. Studies of NEO alterations in tuberculosis (TB) with or without HIV co-infection show inconsistent results. Moreover, challenges exist regarding TB diagnosis in people with HIV. MethodsWe did a systematic review and meta-analysis of studies comparing urinary, pleural, and blood NEO levels between patients with TB or HIV-TB co-infection as the case group and subjects without TB and HIV or subjects with HIV without TB as the control group, respectively. ResultsBlood NEO levels in patients with active TB were higher than healthy controls, with a large effect size of 1.99. Patients with TB had higher blood NEO levels before anti-tuberculosis therapy (ATT) than after ATT for months or when treatment ended with moderate effect sizes (1.13–1.46). meta-analysis of studies of patients with HIV-TB co-infection yielded similar results, with higher blood NEO levels in patients than controls that remained significant in subgroups of studies on pulmonary TB (PTB) patients and serum NEO and higher blood NEO levels in patients before than after ATT. ConclusionMeta-analyses reveal alteration in NEO levels in different specimens, e.g., blood, urine, and pleural fluid, in patients with TB with or HIV-TB co-infection compared to the control groups. Future studies need to investigate the utility of NEO as a diagnostic/prognostic biomarker for TB. Also, cellular and molecular mechanisms linking NEO and TB remain to be addressed.

Primary failure of eruption (PFE) - a systematic literature review

Introduction and purpose&#x0D; Primary Failure of Eruption (PFE) is a rare disease that occurs more often in women than in men. PFE is extremely important for orthodontists because conventional treatment of patients results in ankylosis of the teeth affected by the disease. The aim of the study is to discuss the epidemiology, etiology, diagnosis and treatment of Primary Failure of Eruption.&#x0D; Description of the state of knowledge&#x0D; PFE is present in 0.05% to 0.6% of the population. The average incidence is at the age of 13.65, more often in women. Most often it affects the lateral teeth, and therefore it results in open lateral bites because the teeth do not reach the occlusal plane. The condition was found to be of genetic origin and inherited autosomal dominantly with a low percentage of incomplete penetration. The gene responsible for the disease is the PTH1R. The diagnosis of the disease consists in excluding other causes of eruption failure, detecting disease in which such symptoms occur, and genetic tests (NGS). Treatment of an open lateral bite cannot be carried out in a conventional manner due to the deterioration of the condition after the application of orthodontic forces. The result of the above actions is ankylosis of teeth covered by PFE. The currently proposed methods of treatment are: single or multi-site osteotomy, selective extractions with subsequent implantations, direct or indirect composite restorations, distraction osteogenesis, removable prosthetic restorations.&#x0D; Summary&#x0D; Properly conducted clinical examination of the patient should take into account PFE. Genetic testing (PTH1R) is important in the diagnosis of people with eruption disorders, which is crucial for achieving partially positive treatment results. Orthodontic treatment is contraindicated and patients with a PTH1R mutation should be monitored long-term until their growth is complete, which is the time when interdisciplinary treatment is initiated.

Incidence and associations of hospital delirium diagnoses in 85,979 people with severe mental illness: A data linkage study.

Delirium is an acute neuro-psychiatric disturbance precipitated by a range of physical stressors, with high morbidity and mortality. Little is known about its relationship with severe mental illness (SMI). We conducted a retrospective cohort study using linked data analyses of the UK Clinical Practice Research Datalink (CPRD) and Hospital Episodes Statistics (HES) databases. We ascertained yearly hospital delirium incidence from 2000 to 2017 and used logistic regression to identify associations with delirium diagnosis in a population with SMI. The cohort included 249,047 people with SMI with median follow-up time in CPRD of 6.4 years. A total of 85,979 patients were eligible for linkage to HES. Delirium incidence increased from 0.04 (95% CI 0.02-0.07) delirium associated admissions per 100 person-years in 2000 to 1.05 (95% CI 0.93-1.17) per 100 person-years in 2017, increasing most notably from 2010 onwards. Delirium was associated with older age at study entry (OR 1.05 per year, 95% CI 1.05-1.06), SMI diagnosis of bipolar affective disorder (OR 1.66, 95% CI 1.44-1.93) or other psychosis (OR 1.56, 95% CI 1.35-1.80) relative to schizophrenia, and more physical comorbidities (OR 1.08 per additional comorbidity of the Charlson Comorbidity Index, 95% CI 1.02-1.14). Patients with delirium received more antipsychotic medication during follow-up (1-2 antipsychotics OR 1.65, 95% CI 1.44-1.90; >2 antipsychotics OR 2.49, 95% CI 2.12-2.92). The incidence of recorded delirium diagnoses in people with SMI has increased in recent years. Older people prescribed more antipsychotics and with more comorbidities have a higher incidence. Linked electronic health records are feasible for exploring hospital diagnoses such as delirium in SMI.

The temporal relationship between severe mental illness diagnosis and chronic physical comorbidity: a UK primary care cohort study of disease burden over 10 years

Despite increased rates of physical health problems in people with schizophrenia, bipolar disorder, and other psychotic illnesses, the temporal relationship between physical disease acquisition and diagnosis of a severe mental illness remains unclear. We aimed to determine the cumulative prevalence of 24 chronic physical conditions in people with severe mental illness from 5 years before to 5 years after their diagnosis. In this cohort study, we used the UK Clinical Practice Research Datalink (CPRD) to identify patients aged 18-100 years who were diagnosed with severe mental illness between Jan 1, 2000, and Dec 31, 2018. Each patient with severe mental illness was matched with up to four individuals in the CPRD without severe mental illness by sex, 5-year age band, primary care practice, and year of primary care practice registration. Individuals in the matched cohort were assigned an index date equal to the date of severe mental illness diagnosis in the patient with severe mental illness to whom they were matched. Our primary outcome was the cumulative prevalence of 24 physical health conditions, based on the Charlson and Elixhauser comorbidity indices, at 5 years, 3 years, and 1 year before and after severe mental illness diagnosis and at the time of diagnosis. We used logistic regression to compare people with severe mental illness with the matched cohort, adjusting for key variables such as age, sex, and ethnicity. We identified 68 789 patients diagnosed with a severe mental illness between Jan 1, 2000, and Dec 31, 2018, and we matched them to 274 827 patients without a severe mental illness diagnosis. In both cohorts taken together, the median age was 40·90 years (IQR 29·46-56·00), 175 138 (50·97%) people were male, and 168 478 (49·03%) were female. The majority of patients were of White ethnicity (59 867 [87·03%] patients with a severe mental illness and 244 566 [88·99%] people in the matched cohort). The most prevalent conditions at the time of diagnosis in people with severe mental illness were asthma (10 581 [15·38%] of 68 789 patients), hypertension (8696 [12·64%]), diabetes (4897 [7·12%]), neurological disease (3484 [5·06%]), and hypothyroidism (2871 [4·17%]). At diagnosis, people with schizophrenia had increased odds of five of 24 chronic physical conditions compared with matched controls, and nine of 24 conditions were diagnosed less frequently than in matched controls. Individuals with bipolar disorder and other psychoses had increased odds of 15 conditions at diagnosis. At 5 years after severe mental illness diagnosis, these numbers had increased to 13 conditions for schizophrenia, 19 for bipolar disorder, and 16 for other psychoses. Elevated odds of multiple conditions at the point of severe mental illness diagnosis suggest that early intervention on physical health parameters is necessary to reduce morbidity and premature mortality. Some physical conditions might be under-recorded in patients with schizophrenia relative to patients with other severe mental illness subtypes. UK Office For Health Improvement and Disparities.

Cancer incidence and stage at diagnosis among people with recent-onset psychotic disorders: A retrospective cohort study using health administrative data from Ontario, Canada.

Prior evidence on the relative risk of cancer among people with psychotic disorders is equivocal. The objective of this study was to compare incidence and stage at diagnosis of cancer for people with psychotic disorders relative to the general population. We constructed a retrospective cohort of people with a first diagnosis of non-affective psychotic disorder and a comparison group from the general population using linked health administrative databases in Ontario, Canada. The cohort was followed for incident diagnoses of cancer over a 25-year period. We used Poisson and logistic regression models to compare cancer incidence and stage at diagnosis between people with psychotic disorders and the comparison group, adjusting for confounding factors. People with psychotic disorders had an 8.6% higher incidence (IRR=1.09, 95%CI=1.05,1.12) of cancer overall relative to the comparison group, with effect modification by sex and substantial variation across cancer sites. People with psychotic disorders also had 23% greater odds (OR=1.23, 95%CI=1.13,1.34) of being diagnosed with more advanced stage cancer relative to the comparison group. We found evidence of elevated cancer incidence in people with non-affective psychotic disorders relative to the general population. The higher odds of more advanced stage cancer diagnoses in people with psychotic disorders represents an opportunity to improve patient participation in recommended cancer screening, as well as timely access to services for cancer diagnosis and treatment. Future research should examine confounding effects of lifestyle factors and antipsychotic medications on the risk of developing cancer among people with psychotic disorders.

Trends and projections in sexually transmitted infections in people aged 45 years and older in England: analysis of national surveillance data.

We describe the epidemiology of sexually transmitted infections (STIs) and HIV in people aged ⩾45 years in England and provide future projections about the burden of STIs in this age group. Analysis of national surveillance data in England from 2014 to 2019 for chlamydia, gonorrhoea, herpes, syphilis, anogenital warts and HIV was carried out. Time trends were assessed by the Poisson regression and reported using incidence rate ratios (IRRs). Two scenarios were modelled to predict the number of new STI diagnoses and associated costs in 2040. In 2019, there were 37,692 new STI diagnoses in people ⩾45 years in England. Between 2014 and 2019, there was a significant increase in the rate of new STI diagnoses in men (IRR = 1.05, p = .05) and those aged 45-64 years (IRR = 1.04, p = .05). Absolute numbers of new STI diagnoses in men who have sex with men increased by 76% between 2014 and 2019 (IRR = 1.15, p < .001). In adults aged ⩾50 years, the number of episodes of care for HIV increased over time (age = 50-64 years, IRR = 1.10; age = 65+ years, IRR = 1.13; p <.001). The modelled scenarios predicted an increase in STI diagnoses and costs in older people by 2040. STI rates in England are increasing in people aged ⩾45 years. The population is ageing and older people will contribute an increasing burden to STI costs if this trend continues. The reasons for this trend are not fully understood and further longitudinal epidemiological research is needed. Sexual health promotion campaigns and healthcare interventions targeted at older people should be prioritised.

The Role of Optical Coherence Tomography Criteria and Machine Learning in Multiple Sclerosis and Optic Neuritis Diagnosis.

Recent studies have suggested that intereye differences (IEDs) in peripapillary retinal nerve fiber layer (pRNFL) or ganglion cell + inner plexiform (GCIPL) thickness by spectral domain optical coherence tomography (SD-OCT) may identify people with a history of unilateral optic neuritis (ON). However, this requires further validation. Machine learning classification may be useful for validating thresholds for OCT IEDs and for examining added utility for visual function tests, such as low-contrast letter acuity (LCLA), in the diagnosis of people with multiple sclerosis (PwMS) and for unilateral ON history. Participants were from 11 sites within the International Multiple Sclerosis Visual System consortium. pRNFL and GCIPL thicknesses were measured using SD-OCT. A composite score combining OCT and visual measures was compared individual measurements to determine the best model to distinguish PwMS from controls. These methods were also used to distinguish those with a history of ON among PwMS. Receiver operating characteristic (ROC) curve analysis was performed on a training data set (2/3 of cohort) and then applied to a testing data set (1/3 of cohort). Support vector machine (SVM) analysis was used to assess whether machine learning models improved diagnostic capability of OCT. Among 1,568 PwMS and 552 controls, variable selection models identified GCIPL IED, average GCIPL thickness (both eyes), and binocular 2.5% LCLA as most important for classifying PwMS vs controls. This composite score performed best, with area under the curve (AUC) = 0.89 (95% CI 0.85-0.93), sensitivity = 81%, and specificity = 80%. The composite score ROC curve performed better than any of the individual measures from the model (p < 0.0001). GCIPL IED remained the best single discriminator of unilateral ON history among PwMS (AUC = 0.77, 95% CI 0.71-0.83, sensitivity = 68%, specificity = 77%). SVM analysis performed comparably with standard logistic regression models. A composite score combining visual structure and function improved the capacity of SD-OCT to distinguish PwMS from controls. GCIPL IED best distinguished those with a history of unilateral ON. SVM performed as well as standard statistical models for these classifications. This study provides Class III evidence that SD-OCT accurately distinguishes multiple sclerosis from normal controls as compared with clinical criteria.

Nursing Diagnoses in People with Diabetes Mellitus After Participation in an Educational Program

Nursing Diagnoses in People with Diabetes Mellitus After Participation in an Educational Program