Population-based Retrospective Study Research Articles

Association between Maternal Body Composition in Second Trimester and Risk of Fetal Macrosomia: A Population-Based Retrospective Study in China.

(1) Background: Female body composition undergoes significant changes to support fetal growth and development during pregnancy. This study investigated the association of maternal body composition in the second trimester and macrosomia and explored whether body-composition-related indicators could be used to predict macrosomia. (2) Methods: This study was conducted in China from December 2016 to December 2021. Women with singleton pregnancies, gestational ages between 37 and 42 weeks, and an absence of pregnancy complications were included. In the second trimester, bioelectric impedance analysis (BIA) was used to measure body-composition-related indicators. Logistic regression analysis was performed to explore the risk factors for macrosomia. The predictive performance of maternal body composition and clinical indicators for macrosomia were assessed using the area under the receiver-operating-characteristics curve (AUC). (3) Results: This retrospective study involved 43,020 pregnant women; we collected 2008 cases of macrosomia. Gravidity, gestational age, body mass index (BMI), gestational weight gain (GWG), total body water, fat mass, fat-free mass (FFM), skeletal muscle mass, and visceral fat level were risk factors for macrosomia (p < 0.05 for all). In the prediction model, the AUC of FFM for predicting macrosomia was the largest (0.742). (4) Conclusions: Body-composition-related indicators associated with macrosomia and body composition measurements in the second trimester can predict the risk of macrosomia, enabling clinicians to implement interventions earlier to reduce adverse perinatal outcomes.

Development and validation of nomograms to predict survival of primary adrenal lymphoma: a population-based retrospective study

While it is known that accurate evaluation of overall survival (OS) and disease-specific survival (DSS) for patients with primary adrenal lymphoma (PAL) can affect their prognosis, no stable and effective prediction model exists. This study aimed to develop prediction models to evaluate survival. This study enrolled 5448 patients with adrenal masses from the SEER Program. The influencing factors were selected using the least absolute shrinkage and selection operator regression model (LASSO) and Fine and Gray model (FGM). In addition, nomograms were constructed. Receiver operating characteristic curves and bootstrap self-sampling methods were used to verify the discrimination and consistency of the nomograms. The independent influencing factors for PAL survival were selected by LASSO and FGM, and three models were built: the OS, DSS, and FGS (DSS analysis by FGM) model. The areas under the curve and decision curve analyses indicated that the models were valid. This study developed survival prediction models to predict OS and DSS of patients with PAL. The FGS model was more accurate than the DSS model in the short term. Above all, these models should offer benefits to patients with PAL in terms of the treatment modality choice and survival evaluation.

Hospital admission from the emergency department for selected emergent diagnoses during the first year of the COVID-19 pandemic in Ontario: a retrospective population-based study.

Avoidance of care during the pandemic may have contributed to delays in care, and as a result, worse patient outcomes. We evaluated markers of illness acuity on presentation to the emergency department among patients with non-COVID-19-related emergent diagnoses and associated outcomes. We conducted a retrospective study using linked administrative data from Ontario. We selected 4 emergent diagnoses, namely appendicitis, ectopic pregnancy, renal failure and diabetic ketoacidosis. We used the nonemergent diagnosis of cellulitis as a control. Our primary outcome of interest was hospital admission. Secondary outcomes were ambulance arrival, surgical intervention, subsequent hospital admission within 30 days of discharge from the emergency department or hospital and 30-day mortality. We compared outcomes during the first year of the COVID-19 pandemic (Mar. 15-Dec. 31, 2020) with a control period (Mar. 15-Dec. 31, 2018, and Mar. 15-Dec. 31, 2019). Emergency department visits for all conditions initially decreased during the pandemic. During this period, patients across all study diagnoses were more likely to arrive to the emergency department via ambulance. Patients with an ectopic pregnancy had higher odds of surgery in the pandemic period (odds ratio [OR] 1.27, 95% confidence interval [CI] 1.04-1.55) but this was not observed among patients with appendicitis. Patients with renal failure had increased odds of hospital admission (OR 1.14, 95% CI 1.04-1.24) and 30-day mortality (OR 1.17, 95% CI 1.04-1.31) during the pandemic period. The pandemic period was associated with increased arrival to the emergency department via ambulance across all study diagnoses. Although patients with renal failure had increased hospital admission and death, and patients with ectopic pregnancy had an increased risk of surgery, there were no differences in outcomes for other populations, suggesting the health care system was able to care for these patients effectively.

Infant death prediction using machine learning: A population-based retrospective study

BackgroundDespite declines in infant death rates in recent decades in the United States, the national goal of reducing infant death has not been reached. This study aims to predict infant death using machine-learning approaches. MethodsA population-based retrospective study of live births in the United States between 2016 and 2021 was conducted. Thirty-three factors related to birth facility, prenatal care and pregnancy history, labor and delivery, and newborn characteristics were used to predict infant death. ResultsXGBoost demonstrated superior performance compared to the other four compared machine learning models. The original imbalanced dataset yielded better results than the balanced datasets created through oversampling procedures. The cross-validation of the XGBoost-based model consistently achieved high performance during both the pre-pandemic (2016–2019) and pandemic (2020–2021) periods. Specifically, the XGBoost-based model performed exceptionally well in predicting neonatal death (AUC: 0.98). The key predictors of infant death were identified as gestational age, birth weight, 5-min APGAR score, and prenatal visits. A simplified model based on these four predictors resulted in slightly inferior yet comparable performance to the all-predictor model (AUC: 0.91 vs. 0.93). Furthermore, the four-factor risk classification system effectively identified infant deaths in 2020 and 2021 for high-risk (88.7%–89.0%), medium-risk (4.6%–5.4%), and low-risk groups (0.1), outperforming the risk screening tool based on accumulated risk factors. ConclusionsXGBoost-based models excel in predicting infant death, providing valuable prognostic information for perinatal care education and counselling. The simplified four-predictor classification system could serve as a practical alternative for infant death risk prediction.

Exploring comorbidity and pharmacological treatment patterns in psoriasis - a retrospective population-based cross-sectional study.

Individuals with psoriasis face an increased risk of suffering from various comorbid conditions. However, there haven´t been any studies conducted in Sweden to examine the frequency of comorbidities and the corresponding treatment for these conditions among psoriasis patients. The Cosmic electronic medical record represents a comprehensive repository of medical information including all residents of Region Jönköping. To conduct a population-based retrospective cross-sectional study, all individuals diagnosed with psoriasis between April 9, 2008 and July 1, 2016, were identified via the electronic medical records using ICD-10 codes. Data on comorbidity and dispensation of prescribed drugs against these comorbid conditions were analyzed. During the study period, 1.7% of the population (4,587 individuals) were diagnosed with psoriasis, with 74.3% of cases classified as mild to moderate psoriasis and 25.7% as severe. The remaining 268,949 individuals did not receive a psoriasis diagnosis. The study showed that psoriasis patients had higher odds of experiencing the majority of the comorbid conditions examined. Arthritis other than psoriasis arthritis was found to be the most prevalent comorbid diagnosis among psoriasis patients (adjusted OR 7.2, CI 95% 6.4-8.2, p < 0.001), followed by obesity (OR 2.4, CI 95% 1.9-3.1, p < 0,001). There was no significant difference in drug prescription for comorbid diseases between patients with psoriasis and patients without psoriasis except for arthritis and smoking cessation treatment. Individuals with psoriasis are more susceptible to experiencing multiple comorbid conditions compared to the general population, particularly those with severe psoriasis. There is no evidence of undertreatment of comorbidity except for arthritis among psoriasis patients.

The Risk of Neuropsychiatric Adverse Events With Use of Leukotriene Receptor Antagonists in Patients With Asthma: Analysis of Korea’s National Health Insurance Sharing Service Database

Montelukast, a selective leukotriene receptor antagonist, is a commonly prescribed allergy medication but its potential association with neuropsychiatric adverse events is concerning. To analyze Korea's National Health Insurance System claims records to identify the risk of neuropsychiatric adverse events in patients with asthma treated with montelukast. This retrospective population-based study analyzed the National Health Insurance claims records of the entire Korean population between 2008 and 2015. We compared the risk of neuropsychiatric adverse events among patients with asthma using inhaled corticosteroids and/or long-acting β2-agonists with montelukast or pranlukast and those not using leukotriene receptor antagonists (control group). There was no increased risk of the composite outcome of all measured neuropsychiatric adverse events in patients with asthma who were prescribed montelukast or pranlukast compared with those who were not. However, montelukast use was associated with an increased risk of hallucinations (inverse probability treatment weighting hazard ratio, 1.45; 95% CI, 1.07-1.96) and attention problems (inverse probability treatment weighting hazard ratio, 1.24; 95% CI, 1.01-1.52). Significant negative hazards for disorientation, anxiety, stress reactions, and somatic symptoms were observed in the montelukast group. When grouped by sex, the risk of hallucinations and attention problems was higher in men prescribed montelukast compared with the controls. We did not observe an increase in all neuropsychiatric adverse events in the leukotriene receptor antagonist-treated group; however, an increased risk of hallucinations and attention problems was observed in those taking montelukast, regardless of the medication administration period.

Modified Puerto Rico Recurrence Scale for chronic subdural hematomas: augmenting the grading scale with postoperative pneumocephalus volume.

Chronic subdural hematomas (CSDHs) are common in the elderly, with a relatively high rate of recurrence after initial surgical intervention. Our research team previously created a predictive grading system, the Puerto Rico Recurrence Scale (PRRS), to identify patients at high risk of CSDH recurrence. In this study, we introduce a modification of the (mPRRS) that includes pneumocephalus volume, which has been independently associated with recurrence. A single-center Puerto Rican population-based retrospective study was performed to analyze data for patients treated for CSDH at 1 institution between July 1, 2017, and December 31, 2019. Univariate and multivariate analyses were used to create a grading scale predictive of recurrence. Retrospective validation was conducted for the cohort. Of 108 patients included in the study, 42 had recurrence, and 66 had nonrecurrence. Postoperative subdural space, postoperative midline shift, and pneumocephalus volume were all higher with recurrence (P = 0.002, P = 0.009, and P < 0.001, respectively). Multivariate analysis was used to create a 6-point grading scale comprising 3 variables (pneumocephalus volume [< 10, 10-20, 21-30, and > 30 cm3], postoperative midline shift [< 0.4, 0.41-1.0, and > 1.0cm], and laterality [unilateral and bilateral]). Recurrence rates progressively increased in low-risk to high-risk groups (2/18 [11%] vs 21/34 [62%]; P < 0.003). The mPRRS incorporating pneumocephalus measurement improves CSDH recurrence prediction. The mPRRS indicated that patients with higher scores have a greater risk of recurrence and emphasized the importance of measuring postoperative variables for prediction. The mPRRS grading scale for CSDHs may be applicable not only to the Puerto Rican population but also to the general population.

Cancer and Pregnancy: Estimates in Italy from Record-Linkage Procedures between Cancer Registries and the Hospital Discharge Database.

The aim of this study is to describe the frequency and trend of pregnancy-associated cancer (PAC) in Italy, an increasingly relevant phenomenon due to postponing age at childbirth. To this purpose, a population-based retrospective longitudinal study design based on cohorts of women aged 15-49 diagnosed with cancer and concomitant pregnancy is proposed. The study uses 19 population-based Cancer Registries, covering about 22% of Italy, and linked at an individual level with Hospital Discharge Records. A total of 2,861,437 pregnancies and 3559 PAC are identified from 74,165 women of the cohort with a rate of 1.24 PAC per 1000 pregnancies. The most frequent cancer site is breast (24.3%), followed by thyroid (23.9%) and melanoma (14.3%). The most frequent outcome is delivery (53.1%), followed by voluntary termination of pregnancy and spontaneous abortion (both 12.0%). The trend of PAC increased from 2003 to 2015, especially when the outcome is delivery, thus confirming a new attitude of clinicians to manage cancer throughout pregnancy. This represents the first attempt in Italy to describe PAC from Cancer Registries data; the methodology is applicable to other areas with the same data availability. Evidence from this study is addressed to clinicians for improving clinical management of women with PAC.

Multiple sclerosis is associated with worse COVID-19 outcomes compared to the general population: A population-based study

BackgroundWe carried out the current study to compare COVID-19-related hospitalization and mortality rates between people living with multiple sclerosis (PLWMS) and MS-free controls from the Isfahan general population. MethodIn this retrospective population-based study, we used available data from four datasets of Isfahan University of Medical Sciences from January 1, 2020, to August 22, 2021. Data on all PLWMS, SARS-CoV-2 polymerase chain reaction (PCR) and rapid antigen test, hospitalization, and death were included. We compared the odds of COVID-19-related hospitalization and mortality between PLWMS and the control group before and after adjustment for age and sex. We categorized all people into young (18–49 years) and old age (50–79 years) groups and compared the hospitalization rate between people with and without MS. ResultsIn total, 829 PLWMS and 2494 MS-free controls with confirmed COVID-19 were included. Hospitalization rates among PLWMS and MS-free controls were 16.2% and 16.5% (crude OR= 0.978, 95%CI: 0.79, 1.21). In the adjusted model, PLWMS with COVID-19 had 56% increased odds of hospitalization (OR=1.56, 95%CI: 1.23, 1.97). During follow-up, there were 11 (1.3%) and 49 (2%) COVID-19-related deaths among PLWMS and MS-free controls, respectively. No significant difference between people with and without MS in COVID-19-related mortality rate was observed (crude OR= 0.678, 95%CI: 0.351, 1.31; adjusted OR=2.013, 95%CI: 0.95, 4.26). We found increased odds of hospitalization in young PLWMS compared to those without MS at the same age (OR=1.699, 95%CI: 1.289, 2.240). But, no difference between older people with and without MS was detected (OR=1.005, 95%CI: 0.662, 1.524). ConclusionThis study revealed higher odds of hospitalization and mortality due to COVID-19 among PLWMS in comparison to age- and sex-matched controls from the general population. Nevertheless, it remains unclear whether the elevated odds are directly associated with MS itself or if they are influenced by factors such as rituximab using, comorbidity, and disease severity.

A Comparison of Pregnancy and Neonatal Outcomes in Women with the Hyperandrogenic Disorders Polycystic Ovary syndrome and Cushing’s Syndrome

Research Question: How does the risk for adverse obstetric outcomes differ among women with polycystic ovary syndrome (PCOS) and women with Cushing’s syndrome (CUS)? Design: A retrospective population-based study utilizing data from the Healthcare Cost and Utilization Project—Nationwide Inpatient Sample (HCUP-NIS), 2004-2014. 14, 881 deliveries to women with PCOS and 134 deliveries to women with CUS were identified. Associations between PCOS, CUS, pregnancy, delivery, and neonatal outcomes were analyzed with multivariate logistic regression analysis. Results: At baseline, CUS was associated with a higher risk of chronic hypertension (P&lt;0.001), pregestational diabetes mellitus (P=0.01), thyroid disease (P=0.004), and higher rates of smoking during pregnancy (P=0.02) whereas PCOS was associated with higher rates of obesity (P=0.01). In terms of obstetric outcomes, PCOS increased the prevalence of gestational diabetes mellitus (P=0.002, adjusted[a] OR 2.73; 95% CI 1.46 to 5.12), and cesarean section (P&lt;0.001, aOR 2.63; 95% CI 1.81-3.83) in comparison to CUS. CUS increased the prevalence of operative vaginal delivery (P&lt;0.001, aOR 0.10; 95% CI 0.06-0.14), and transfusion (P=0.002, aOR 0.25; 95% CI 0.11-0.59) in comparison to deliveries to women with PCOS. No significant differences were found in terms of pregnancy-induced hypertension (P=0.78), gestational hypertension (P=0.86), preeclampsia (P=0.25), preeclampsia or eclampsia superimposed on pre-existing hypertension (P=0.13). Conclusion: PCOS increases the risk of gestational diabetes and cesarean section relative to CUS, whereas CUS increases the prevalence of operative vaginal delivery and blood transfusions.

Association of Metabolic Syndrome with the Risk of Head and Neck Cancer: A 10-Year Follow-Up Study of 10 Million Initially Healthy Individuals.

The aim of this national population-based retrospective study was to analyze the relationship between MetS and the incidence of HNC. In this Korean population-based cohort study, 9,598,085 subjects above the age of 20 were monitored from 1 January 2009 to 31 December 2018. In the study population, a total of 10,732 individuals were newly diagnosed with HNC during the 10-year follow-up. The hazard ratio (HR), after adjusting for age, gender, smoking status, alcohol intake, and exercise, indicated that participants with MetS were at a 1.06-fold (95% CI: 1.01-1.10) higher risk of having HNC than those without MetS. Participants with MetS showed an increased risk of developing oral cavity cancer (HR, 1.12; 95% CI, 1.03-1.23) and laryngeal cancer (HR, 1.18; 95% CI, 1.09-1.27). Among the components of MetS, elevated fasting glucose (HR = 1.04, 95% CI: 1.00-1.08) and elevated blood pressure (HR = 1.08, 95% CI: 1.04-1.13) were significantly associated with an increased HR for HNC in an adjusted multivariable model. The association between HNC and MetS remained significant even among individuals who had never smoked or were ex-smokers (HR: 1.09; 95% CI: 1.04-1.15), as well as those who did not drink or were mild drinkers (HR: 1.07; 95% CI: 1.02-1.12). The findings of this cohort study suggest MetS was associated with an increased risk for some types of HNCs. The results of this study could assist with etiological investigations and prevention strategies.

Physician continuity of care in the last year of life in community-dwelling adults: retrospective population-based study

ObjectiveTo describe the timing of involvement of various physician specialties over the last year of life across different levels of primary care physician continuity for differing causes of death.MethodsWe conducted...

Prevalence, Characteristics, and Treatment of Hemorrhoids During Pregnancy: A Nationwide Population-Based Cohort Study in Taiwan.

Background: Hemorrhoids, a gastrointestinal tract disorder, are common during pregnancy. However, large-scale epidemiological studies on hemorrhoids during pregnancy are limited. Therefore, this study used analyzed data from a nationwide population-based database to investigate the prevalence, characteristics, and treatment of hemorrhoids in Taiwan. Materials and Methods: This retrospective population-based study used data from the National Health Insurance Research Database and Taiwan Birth Certificate Application to collect the medical records of women who were pregnant at any time during 2009-2018. Hemorrhoids was defined by International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) (455. X) and International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) (K64.X, O22.4X) with related treatment. Results: We enrolled 1,608,804 deliveries in 1,070,708 women. The proportion of hemorrhoids increased with age in both primipara and multipara women. Of the pregnant women, 31% received oral medication, and 93.2% used the topical ointment to treat their hemorrhoids. Few patients (1.8%) required procedure or surgery during pregnancy, and 41.4% of those patients underwent procedure or surgery in their first trimester. The cumulative incidence of hemorrhoids during pregnancy was significantly higher in women with a history of hemorrhoids and those with multifetal pregnancies. No significant difference in the incidence of hemorrhoids was observed between multiparous and primiparous women. Conclusion: Women with a history of hemorrhoids or those carrying multiple fetuses had an increased risk of hemorrhoids during pregnancy. The most commonly used treatment for hemorrhoids during pregnancy was topical ointments, with only a small proportion (1.8%) of patients requiring procedure or surgery.

Ophthalmic symptoms, clinical signs and diagnostic delay in infants diagnosed with brain tumours in Denmark between 2007 and 2017.

To investigate ophthalmic onset manifestations and the impact of diagnostic delay on the prognosis in infants (<1 year) diagnosed with a brain tumour. A retrospective population-based nationwide study of infants diagnosed with a brain tumour between 2007 and 2017 in Denmark. Data was retrieved from the Danish Childhood Cancer Registry, the National Danish Health registries, and medical files. Primary outcome measures included symptoms, clinical findings, time to diagnosis and survival. Thirty-seven infants were diagnosed with a brain tumour in Denmark between 2007 and 2017. In total, 19/37 infants (51%, 95% CI: 34-68) had ophthalmic manifestations at any time prior to or at diagnosis; and in 6/37 (16%, 95% CI: 6-32) ophthalmic manifestations were the initial symptom. The most common ophthalmic manifestations were strabismus (n = 7), sunset eyes (n = 6), nystagmus (n = 4), reduced pupillary light reflex (n = 4), and/or decreased vision (n = 4). The median number of symptoms per infant at the time of diagnosis was three (range 0-9). The median diagnostic delay was 26 days (range 0-283, IQR: 6;90). 5-year survival rate was 75% (95% CI: 61-90) and all children with diagnostic delay > 100 days (n = 9, 24%) were still alive at the end of follow-up (median 6.3 years, range 2.2-10.2). We provide an overview of symptoms and clinical signs in a nation-wide series of infants with CNS tumours and demonstrate that ophthalmic manifestations are frequently observed in infants prior to diagnosis, but, often in combination with other clinical signs. The diagnostic delay was substantial for a large part of the infants, but this was not associated with increased mortality.

The burden of acute eye conditions on different healthcare providers: a retrospective population-based study.

The demand for acute eyecare exponentially outstrips capacity. The public lacks awareness of community eyecare services. To quantify the burden of acute eyecare on different healthcare service providers in a national population through prescribing and medicines provision by GPs, optometrists, and pharmacists, and provision of care by accident and emergency (A&E) services. A secondary aim was to characterise some of the drivers of this burden. A retrospective data-linkage study set in Wales, UK. Analysis of datasets was undertaken from the Secure Anonymised Information Linkage Databank (GP and A&E), the Eye Health Examination Wales service (optometry), and the Common Ailments Scheme (pharmacy) during 2017-2018. A total of 173 999 acute eyecare episodes delivered by GPs (168 877 episodes) and A&E services (5122) were identified during the study. This resulted in 65.4 episodes of care per 1000 people per year. GPs prescribed a total of 87 973 653 prescriptions within the general population. Of these, 820 693 were related to acute eyecare, resulting in a prescribing rate of 0.9%. A total of 5122 eye-related and 905 224 general A&E attendances were identified, respectively, resulting in an A&E attendance rate of 0.6%. Optometrists and pharmacists managed 51.8% (116 868) and 0.6% (2635) of all episodes, respectively. Older females and infants of both sexes were more likely to use GP prescribing services, while adolescent and middle-aged males were more likely to visit A&E. GP prescribing burden was driven partially by economic deprivation, access to services, and health score. Season, day of the week, and time of day were predictors of burden in GP and A&E. Acute eyecare continues to place considerable burden on GP and A&E services in Wales, particularly in urban areas with greater economic deprivation and lower overall health. This is likely to increase with a rapidly ageing population. With ongoing pathway development to better utilise optometry and pharmacy, and improved public awareness, there may be scope to change this trajectory.

Qatar population-specific centile charts of placental weight in 80 722 newborns: relation to maternal age, gestational age, newborn birth weight, and gender, between the 37 th and 42 nd weeks of gestation.

Data about placental weight (PW) in relation to birth weight (BW) and gestational age (GA) are lacking in Arabic countries. (a) to find out the national PW standards for babies born between 37th and 42nd weeks of gestation in male and female babies born in Qatar; (b) to study the relation, if any, between PW and maternal age, gestational age (GA), birth weight (BW), and gender of the newborn. A National population-based retrospective chart review study was conducted between 1-2016 to 12-2019 (n = 80 722). Data of gestational age (GA) at delivery (in weeks), newborn birth weight (BW), PW, and gender at birth, were collected from singleton babies born between 37 th and 42nd weeks of gestation. The PW ranged from 440 to 860 grams (g) with a mean of 682 ± 96 g. at term for boys and 673 ± 94 g. for girls. The mean BW was 3 036 ± 448 g and BW/PW ratio was 0.203 ± 0.026. The PW continued to increase through 41 weeks' gestation, in boys and girls with a significant decrease at the 42nd week of gestation. PW was significantly correlated with BW (r = 0.596, P: < 0.001) and GA (r = 0.15, P: <0.001) and accounted for 43.4% of the explained variability in birth weight. PW was a significant predictor of BW with a consistent increase in PW until the 41st week of gestation in boys and girls and a positive correlation with BW and GA.

Evaluation of a machine learning tool for the early identification of patients with undiagnosed psoriatic arthritis – A retrospective population-based study

BackgroundPsoriatic arthritis (PsA), an immune-mediated chronic inflammatory skin and joint disease, affects approximately 0.27% of the adult population, and 20% of patients with psoriasis. Up to 10% of psoriasis patients are estimated for having undiagnosed PsA. Early diagnosis and treatment can prevent irreversible joint damage, disability and deformity. Questionnaires for screening to identify undiagnosed PsA patients require patient and physician involvement. ObjectiveTo evaluate a proprietary machine learning tool (PredictAI™) developed for identification of undiagnosed PsA patients 1–4 years prior to the first time that they were suspected of having PsA (reference event). MethodsThis retrospective study analyzed data of the adult population from Maccabi Healthcare Service between 2008 and 2020. We created 2 cohorts: The general adult population (“GP Cohort”) including patients with and without psoriasis and the Psoriasis cohort (“PsO Cohort”) including psoriasis patients only. Each cohort was divided into two non-overlapping train and test sets. The PredictAI™ model was trained and evaluated with 3 years of data predating the reference event by at least one year. Receiver operating characteristic (ROC) analysis was used to investigate the performance of the model, built using gradient boosted trees, at different specificity levels. ResultsOverall, 2096 patients met the criteria for PsA. Undiagnosed PsA patients in the PsO cohort were identified with a specificity of 90% one and four years before the reference event, with a sensitivity of 51% and 38%, and a PPV of 36.1% and 29.6%, respectively. In the GP cohort and with a specificity of 99% and for the same time windows, the model achieved a sensitivity of 43% and 32% and a PPV of 10.6% and 8.1%, respectively. ConclusionsThe presented machine learning tool may aid in the early identification of undiagnosed PsA patients, and thereby promote earlier intervention and improve patient outcomes.

Epidemiology and survival outcomes of synchronous and metachronous brain metastases: a retrospective population-based study.

Brain metastases (BMs) are the most common CNS tumors, yet their prevalence is difficult to determine. Most studies only report synchronous metastases, which make up a fraction of all BMs. The authors report the incidence and prognosis of patients with synchronous and metachronous BMs over a decade. Study data were obtained from the TriNetX Research Network. Patients were included if they had a primary cancer diagnosis and a BM diagnosis, with primary cancer occurring between January 1, 2013, and January 1, 2023. Metachronous BM was defined as BM diagnosed more than 2 months after the primary cancer. Cohorts were balanced by propensity score matching for age, extracranial metastasis, and antineoplastic or radiation therapy. Kaplan-Meier plots were used to evaluate survival differences between synchronous and metachronous BMs and associations with clinical conditions. A log-rank test was used to evaluate BM-free survival for metachronous BM and overall survival (OS) for all BMs. Hazard ratios and 95% CIs were calculated. Of the 11,497,663 patients with 15 primary cancers identified, 300,863 (2.6%) developed BMs. BMs most commonly arose from lung and breast cancers and melanoma. Of all BMs, 113,827 (37.8%) presented synchronously and 187,036 (62.2%) presented metachronously. Lung and bronchial cancer had the highest metastasis rate (11.0%) and the highest synchronous presentation (51.0%). For metachronous presentations, the time from primary diagnosis to metastasis ranged from 1.3 to 2.5 years, averaging 1.8 years. Metachronous BM diagnosis was associated with longer survival over synchronous BM from primary diagnosis (11.54 vs 37.41 months, p < 0.0001), but shorter survival than extracranial metastases without BM (38.75 vs 69.18 months, p < 0.0001). Antineoplastic therapy prior to BM was associated with improved BM-free survival (4.46 vs 17.80 months, p < 0.0001) and OS (25.15 vs 42.26 months, p < 0.0001). Radiotherapy showed a similar effect that was statistically significant but modest for BM-free survival (5.25 vs 11.44 months, p < 0.0001) and OS (30.13 vs 32.82 months, p < 0.0001). The majority of BMs present metachronously and arise within 2 years of primary cancer diagnosis. The substantial rate of BMs presenting within 6 months of primary cancer, especially liver, lung, and pancreatic cancer, may guide future recommendations on intracranial staging. Antineoplastic therapy prior to the development of BM may prolong the time before metastasis and improve survival. Further characterization of this population can better inform screening, prevention, and treatment efforts.

Does age affect outcome with breast cancer?

Prior data about the influence of age at diagnosis of breast cancer on patient outcomes and survival has been conflicting. Using the Breast Cancer Outcomes Unit database at BC Cancer, this retrospective population-based study identified a cohort of 24,469 patients diagnosed with invasive breast cancer between 2005 and 2014. Median follow-up was 11.5 years. We analyzed clinical and pathological features at diagnosis and treatment specific variables compared across the following age cohorts: <35, 35-39, 40-49, 50-59, 60-69, 70-79, and 80 years of age and older. We assessed the impact of age on breast cancer specific survival (BCSS) and overall survival (OS) by age and subtype. There were distinct clinical-pathological and treatment pattern differences at both extremes of age at diagnosis. Patients <35 and 35-39 years old were more likely to present with higher risk features, HER2 positive or triple-negative biomarkers, and more advanced TNM stage at diagnosis. They were more likely to undergo treatment with mastectomy, axillary lymph node dissection, radiotherapy and chemotherapy. Conversely, patients ≥80 years old were generally more likely to have hormone-sensitive HER2-negative disease, and lower TNM stage at diagnosis. They were less likely to undergo surgery or be treated with radiotherapy and chemotherapy. Both younger and elderly age at breast cancer diagnosis were independent risk factors for poorer prognosis after controlling for subtype, LVI, stage, and treatment factors. This work will help clinicians to more accurately estimate patient outcomes, patterns of relapse, and provide evidence-based treatment recommendations.

Effects of malnutrition on outcomes of patients with femoral head osteonecrosis undergoing total hip arthroplasty: A population-based study.

This study aimed to evaluate the impact of malnutrition on in-hospital outcomes in patients undergoing total hip arthroplasty (THA) for osteonecrosis of the femoral head (ONFH). This population-based retrospective study extracted data of patients undergoing THA for ONFH in the US National Inpatient Sample between 2005 and 2018. Factors associated with in-hospital mortality, medical and surgical complications, unfavorable discharge, and prolonged hospital stay were determined by logistic regression analysis. A total of 72,304 adults ≥18 years old with nontraumatic ONFH admitted for primary THA were included. Malnutrition was detected in 7152 (9.9%) patients using validated discharge codes. In-hospital mortality was 0.8% vs 0.1% for patients who were malnourished vs nonmalnourished. After adjusting for confounders, malnutrition was significantly associated with an increased risk of in-hospital death (adjusted odds ratio [aOR], 4.67; 95% CI, 2.43-8.97), medical complications (aOR, 1.49; 95% CI, 1.32-1.68), surgical complications (aOR, 1.78; 95% CI, 1.61-1.96), unfavorable discharge (aOR, 1.24; 95% CI, 1.11-1.39), and prolonged hospital stay (aOR, 1.90; 95% CI, 1.67-2.16) compared with adequate nutrition. Malnutrition was also associated with higher total hospital costs (adjusted β = $9620; 95% CI, 7.87-11.36). Furthermore, the association between malnutrition, any medical or surgical complications, and unfavorable discharge was stronger in patients younger than 50 years than those ≥50 years old. In US patients undergoing primary THA for ONFH, malnutrition increases the risk of unfavorable in-hospital outcomes. This patient subgroup may require special attention and better strategies to improve perioperative care.