ABSTRACT
BACKGROUND: Epstein-Barr virus (EBV) is thought to be a necessary causative agent in the development of multiple sclerosis (MS). Infectious mononucleosis (IM), which occurs up to 70% of adolescents and young adults with primary EBV infection, appears to be a further risk factor but few studies have been highly powered enough to explore this association by time since IM diagnosis. OBJECTIVE: The objective was to quantify the risk of MS in individuals with IM compared with the general population, with particular focus on time since IM diagnosis. METHODS: In this retrospective cohort study using English national Hospital Episode Statistics from 2003 to 2023, patients with a hospital diagnosis of IM were compared with the general population for MS incidence. RESULTS: MS incidence in patients with IM was nearly three times higher than the general population after multivariable adjustment (adjusted hazard ratio = 2.8, 95% confidence interval (CI = 2.3-3.4), driven by strong associations at long time intervals (>5 years) between IM diagnosis and subsequent MS diagnosis. CONCLUSION: While EBV infection may be a prerequisite for MS, the disease process of IM (i.e. the body's defective immune response to primary EBV infection) seems to be, in addition, implicated over the long term.
Subject(s)
Epstein-Barr Virus Infections , Infectious Mononucleosis , Multiple Sclerosis , Adolescent , Young Adult , Humans , Infectious Mononucleosis/complications , Epstein-Barr Virus Infections/complications , Herpesvirus 4, Human , Retrospective Studies , Cohort Studies , Multiple Sclerosis/etiology , Hospital Records , England/epidemiology , HospitalsABSTRACT
BACKGROUND: Current outcomes for mental illness are widely regarded as poor. Since the introduction of psychotropic medications in the mid 1950's, previous psychosocial practices were minimized in favor of medication focused treatment. The majority of large U.S. state hospitals have closed with records destroyed or in storage, inaccessible to researchers. This creates barriers to studying and comparing outcomes before and after this shift in treatment practices. AIMS: The study aim was to examine discharge outcomes in relation to length of stay and diagnosis in one U.S. state hospital. METHODS: This case series study examined 5618 medical records of participants admitted to one state hospital from 1945 to 1954, the decade prior to adoption of psychotropic medications. RESULTS: Of the 3332 individuals who left the facility, over half (59.87%) of first episode hospitalizations were discharged within 1 year, and 16.95% were hospitalized for more than 5 years. 46.17% of all admissions were discharged from hospital with no readmission. The most common diagnoses included schizophrenia, other forms of psychosis, and alcoholism. In the decade before the introduction of psychotropic medications, participants were often admitted for a single episode and returned to their homes within several years. CONCLUSIONS: Although limited to one site, findings suggest that discharge outcomes prior to psychotropic medication as a primary treatment for mental illness may be more positive than previously understood.
Subject(s)
Hospitals, State , Mental Disorders , Humans , Retrospective Studies , Hospital Records , Psychotropic Drugs/therapeutic use , Mental Disorders/drug therapy , Mental Disorders/diagnosis , Outcome Assessment, Health CareABSTRACT
BACKGROUND: Chronic subdural hematoma (CSDH) is one of the commonest neurosurgical pathologies with an increasing incidence. Observational studies of routine care have demonstrated high perioperative morbidity and approximately 10% mortality at one year. The development, implementation, and evaluation of a potential care framework relies on an accurate and reproducible method of case identification and case ascertainment. With this manuscript, we report on the accuracy of diagnostic ICD codes for identifying patients with CSDH from retrospective electronic data and explore whether basic demographic data could improve the identification of CSDH. METHODS: Data were collected retrospectively from the hospital administrative system between 2014 and 2018 of all patients coded with either S065 or I620. Analysis of the ICD codes in identifying patients with CSDH diagnosis was calculated using the caretR package in RStudioR,.and stepwise logistic regression analysis was performed to evaluate the best predictive model for CSDH. RESULTS: A total of 1861 patients were identified. Of these, 189 (10.2%) had a diagnosis of non-traumatic SDH (I620) and 1672 (89.8%) traumatic subdural haematomas (S065). Variables that identified CSDH as a diagnosis on univariate logistic regression included male sex (Odds Ratios (OR) - 1.606 (1.197-2.161), elderly age (OR) - 1.023 (1.015-1.032) per year for age (p < 0.001) and shorter length of hospital stay. Using stepwise regression against AIC the best model to predict CSDH included male sex, older age, and shorter LOS. The calculated sensitivity for identifying CSDH with the model is 88.4% with a specificity of 84.5% and PPV of 87.9%. CONCLUSION: CSDH is a common neurosurgical pathology with increasing incidence and ongoing unmet clinical need. We demonstrate that case ascertainment for research purposes can be improved with the incorporation of additional demographic data but at the expense of significant case exclusion.
Subject(s)
Hematoma, Subdural, Chronic , Aged , Humans , Male , Hematoma, Subdural, Chronic/diagnosis , Hematoma, Subdural, Chronic/pathology , Hematoma, Subdural, Chronic/surgery , Hospital Records , International Classification of Diseases , Length of Stay , Retrospective Studies , FemaleABSTRACT
PURPOSE: Neighborhood environments may influence cancer risk. Average population effect estimates might mask differential effects by socioeconomic position. Improving neighborhood environments could inadvertently widen health inequalities if important differences are overlooked. METHODS: Using linked records of hospital admissions in UK Biobank, we assessed associations between admission with a primary diagnosis of cancer (any/breast/colorectal), and exposure to neighborhood greenspace, physical activity facilities, and takeaway food stores, and whether household income and area deprivation modify these associations. We used adjusted Cox proportional hazards models, and estimated relative excess risks due to interaction (RERI) to assess effect modification. RESULTS: Associations between neighborhood exposures and cancer-related hospitalizations were weak to null overall, but with some evidence of effect modification. Most notably, more greenspace near home was associated with 16% lower hazard of cancer-related hospital admission in deprived areas (95% CI 2-29%). This was further pronounced for people in low-income households in deprived areas, and for breast cancer. CONCLUSION: In deprived neighborhoods, increasing the amount of greenspace may help reduce cancer-related hospitalizations. Examining effect modification by multiple socioeconomic indicators can yield greater insight into how social and environmental factors interact to influence cancer incidence. This may help avoid perpetuating cancer inequalities when designing neighborhood environment interventions.
Subject(s)
Hospital Records , Neoplasms , Humans , Prospective Studies , Biological Specimen Banks , Residence Characteristics , Socioeconomic Factors , Hospitalization , Neoplasms/epidemiology , United Kingdom/epidemiologyABSTRACT
BACKGROUND: Validation studies estimating the positive predictive value (PPV) of neonatal abstinence syndrome (NAS) have consistently suggested overreporting in hospital discharge records. However, few studies estimate the negative predictive value (NPV). Even slightly imperfect NPVs have the potential to bias estimated prevalences of rare outcomes like NAS. Given the challenges in estimating NPV, our objective was to evaluate whether the PPV was sufficient to understand the influence of NAS misclassification bias on conclusions of the NAS prevalence in surveillance research. METHODS: We used hospital discharge data from the 2016 New Jersey State Inpatient Databases, Healthcare Cost and Utilization Project. We adjusted surveillance data for misclassification using quantitative bias analysis models to estimate the expected NAS prevalence under a range of PPV and NPV bias scenarios. RESULTS: The 2016 observed NAS prevalence was 0.61%. The misclassification-adjusted prevalence estimates ranged from 0.31% to 0.91%. When PPV was assumed to be ≥90%, the misclassification-adjusted prevalence was typically greater than the observed prevalence but the reverse was true for PPV ≤70%. Under PPV 80%, the misclassification-adjusted prevalence was less than the observed prevalence for NPV >99.9% but flipped for NPV <99.9%. CONCLUSIONS: When we varied the NPV below 100%, our results suggested that the direction of bias (over or underestimation) was dependent on the PPV, and sometimes dependent on the NPV. However, NPV was important for understanding the magnitude of bias. This study serves as an example of how quantitative bias analysis methods can be applied in NAS surveillance to supplement existing validation data when NPV estimates are unavailable.
Subject(s)
Neonatal Abstinence Syndrome , Hospital Records , Humans , Infant, Newborn , Neonatal Abstinence Syndrome/epidemiology , Patient Discharge , Predictive Value of Tests , PrevalenceABSTRACT
Osteoporotic vertebral fractures signify an increased risk of future fractures and mortality and can manifest the diagnosis of osteoporosis. We investigated the prevalence of vertebral fractures in routine CT of patients with long-term hospital records. Three out of ten patients showed osteoporotic vertebral fractures (VFs) corresponding to the highest rates reported in European population-based studies. INTRODUCTION: VFs are a common manifestation of osteoporosis, which influences future fracture risk. Their epidemiology has been investigated in population-based studies. However, few studies report the prevalence of osteoporotic VF in patients seen in clinical routine and include all common fracture levels of the thoracolumbar spine. The purpose of this study was to investigate the prevalence of osteoporotic VF in patients with CT scans and long-term hospital records and identify clinical factors associated with prevalent VFs. METHODS: All patients aged 45 years and older with a CT scan and prior hospital record of at least 5 years that were seen in the study period between September 2008 and May 2017 were reviewed. Imaging requirements were a CT scan with sagittal reformations including at least T6-L4. Patients with multiple myeloma were excluded. Fracture reading was performed using the Genant semi-quantitative method. Medical notes were reviewed for established diagnoses of osteoporosis and clinical information. Clinical factors (e.g. drug intake, chemotherapy, and mobility level) associated with prevalent VF were identified in logistic regression. RESULTS: The study population consisted of 718 patients (228 women and 490 men; mean age 69.3 ± 10.1 years) with mainly cancer staging and angiography CT imaging. The overall prevalence of VFs was 30.5%, with non-significantly more men showing a fracture (32.5%) compared to women (26.3%; p > 0.05). Intake of metamizole for ≥ 3 months was significantly associated with a prevalent VF. Medical records did not include information about bone health in 90% of all patients. CT reports did mention a VF in only 24.7% of patients with a prevalent VF on CT review. CONCLUSION: Approximately 30% of elderly patients with CT imaging and long-term hospital records showed VFs. Only one-quarter of these patients had VFs mentioned in CT reports. Osteoporosis management could be improved by consequent reporting of VFs in CT, opportunistic bone density measurements, and early involvement of fracture liaison services.
Subject(s)
Osteoporotic Fractures , Spinal Fractures , Aged , Bone Density , Female , Hospital Records , Humans , Male , Middle Aged , Osteoporotic Fractures/diagnostic imaging , Osteoporotic Fractures/epidemiology , Osteoporotic Fractures/etiology , Spinal Fractures/diagnostic imaging , Spinal Fractures/epidemiology , Spinal Fractures/etiology , Spine , Tomography, X-Ray ComputedABSTRACT
BACKGROUND: Globally, geriatric patients are the dominant population requiring global medical care. We established a frailty index for geriatric trauma patients by retrospectively analysing electronic hospital records to identify patients with frailty characteristics and poor prognostic outcomes. METHOD: Data were obtained from 2016 US National Emergency Department Sample and Shanghai Trauma Emergency Medical Association (2015-18). Overall, 141,267 hospitalised geriatric trauma patients (age ≥ 65 years) were included. We used a three-step method to construct geriatric trauma frailty index (GTFI) based on the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnostic codes. Systematic cluster analysis was used. The accuracy of GTFI was verified in national validation cohort, and its applicability to Chinese patients was assessed in local validation cohort. RESULTS: In development cohort (n = 28,179), frail patients had longer lengths of stay and higher Charlson co-morbidity index than non-frail patients (18.2 ± 12.4 days, 5.59 ± 2.0 versus 5.3 ± 5.3 days, 5.33 ± 1.8, respectively). In national validation cohort (n = 113,089), frail patients had longer lengths of stay (8.5 ± 8.8 days versus 4.5 ± 3.1 days) and higher in-hospital mortality than non-frail patients (2,795, 11.69% versus 589, 0.66%). Areas under the curves for GTFI for length of stay (>14 days) and in-hospital mortality were 0.848 (0.841, 0.854) and 0.885 (0.880, 0.891) in national validation cohort, and were 0.791 (0.779, 0.804) and 0.903 (0.885, 0.922) in local validation cohort (n = 14,827). CONCLUSIONS: The GTFI helps hospitals and emergency departments to identify geriatric trauma patients with poor prognostic outcomes, and has been proven to be useful in China.
Subject(s)
Frailty , Aged , China/epidemiology , Electronics , Frail Elderly , Frailty/diagnosis , Frailty/epidemiology , Geriatric Assessment , Hospital Records , Humans , Retrospective StudiesABSTRACT
BACKGROUND: Knowledge of fatal injuries is required to inform prevention activities. Where hospital patients with an injury principal diagnosis (PDx) died and were certified to a medical underlying cause of death (UCoD), there is the potential to underestimate injury mortality. We sought to characterise injury/non-injury (NI) mismatches between PDx and UCoD by identifying which subgroups had small/large mismatches, and to understand why mismatches had occurred using informative examples. METHOD: Hospital records (n=10 234) with a PDx of injury were linked to the mortality collection using a unique personal identifier. Percentages UCoD coded to a NI were tabulated, for three follow-up periods and by selected variables. Additionally, we reviewed a sample of 70 records for which there was a mismatch. RESULTS: %NIs were 39%, 66% and 77% for time from injury to death of <1 week, <90 days and <1 year, respectively. Variations in %NI were found for all variables. Illustrative examples of 70 medical UCoD deaths showed that for 12 cases the injury event was unequivocally judged to have resulted in premature death. A further 16 were judged as injury deaths using balance of probability arguments. CONCLUSION: There is variation in rates of mismatch between PDx of injury and UCoD of NI. While legitimate reasons exist for mismatches in certain groups, a material number of injury deaths are not captured using UCoD alone; a new operational definition of injury death is needed. Early solutions are proposed. Further work is needed to investigate operational definitions with acceptable false positive and negative detection rates.
Subject(s)
Death Certificates , Hospital Records , Cause of Death , HumansABSTRACT
BACKGROUND: The growth potential in pubertal boys with short stature is limited by the effect of estrogen on epiphyseal fusion. This study aims to identify the efficacy and safety of the combination of growth hormone (GH) and letrozole on adult height (AH) in pubertal boys with short stature. METHODS: This is a retrospective record based study. Pubertal boys with short stature who were treated with GH and letrozole were followed up at outpatient clinics in our hospital. Twenty subjects who reached AH are reported here. RESULTS: Baseline chronological age was 12.12 ± 1.14 yr and bone age was 13.00 ± 0.93 yr. The period of GH/letrozole treatment was 1.94 ± 0.67 yr. Height standard deviation score for bone age was increased from -1.46 ± 0.51 before treatment to -0.12 ± 0.57 after treatment (P < 0.001). The predicted AH before treatment, predicted AH after treatment, AH, and genetic target height were 161.02 ± 4.12 cm, 172.11 ± 4.20 cm, 172.67 ± 2.72 cm, and 167.67 ± 3.56 cm, respectively. There was a significant predicted AH difference before and after treatment (P < 0.001). There was a significant difference between predicted AH before treatment and genetic target height (P < 0.001). Predicted AH after therapy was higher than that of gene target height (P < 0.001), as well as AH and genetic target height (P < 0.001). There was no significant side effect. CONCLUSIONS: GH and letrozole combination can enhance AH in pubertal boys with short stature.
Subject(s)
Dwarfism , Human Growth Hormone , Adult , Growth Hormone/adverse effects , Hospital Records , Human Growth Hormone/therapeutic use , Humans , Letrozole/therapeutic use , Male , Retrospective StudiesABSTRACT
OBJECTIVES: to evaluate and validate the adoption of an algorithm for the identification of cases of congenital anomalies (CAs) to improve the performance of the Congenital Malformations Registry of Sicily Region (Southern Italy). DESIGN: an algorithm was used to identify congenital anomalies on a sample of hospital discharge records (SDO) with ICD-9-CM code between 740-759 on any of the diagnoses within the first year of life, together with a sample of healthy births equal to 5% of total births for the same period. The identified cases were evaluated through the clinical record analysis. SETTING AND PARTICIPANTS: the analysed sample was composed of 4,271 cases identified between June 2013 and December 2014 along with 3,993 SDO without any code of MC (5% of the total volume of births in the same period). MAIN OUTCOME MEASURES: positive predictive value (VPP) and negative predictive value (VPN) were computed by means of the comparison between the algorithm outcomes and the clinical record verification. RESULTS: 4,271 potentially malformed records involving 3,381 subjects born in the Sicilian territory have been identified. Among the hospital discharge records that it was possible to verify, the application of the algorithm led to the exclusion of 924 cases: of these, 62 proved to be false negatives (VPN: 93.3). The valid cases were 1,179, while the cases to be evaluated 617: the comparison between algorithm and clinical record analysis led to a VPP of 91.7 and 72.1, respectively, for valid and to be evaluated. CONCLUSIONS: the tested algorithm proved to be a useful tool for identifying SDO potentially related to congenital anomalies. In the overall sample, the algorithm provided an outcome consistent with the clinical record assessment in 87.4% (2,379) of cases.
Subject(s)
Hospital Records , Patient Discharge , Algorithms , Hospitals , Humans , Sicily/epidemiologyABSTRACT
Background: Since 1976, several JE outbreaks have been reported from most of the districts of Assam. Objectives: The present study aims to conduct a descriptive and spatial analysis to understand the spatiotemporal distribution of JE cases of Dibrugarh district. Methods: Spatiotemporal distribution of JE cases from 2014 to 2018 at village level was described in maps using Geographical Information System. Spatial association between JE reporting places in the study area has been analyzed using spatial statistics analytical techniques. Temporal distribution of JE cases from 2014 to 2018 for different variable were described in tables. Results: During the period 2014-2018, incidence rate of JE cases ranged between 2.7/100,000 and 5.9/100,000 population and highest case fatality rate was 18.3% in 2014. Highest numbers of JE cases were reported in the age group 0-10 years. Most of the JE cases were from rural areas (84.2%). There was a seasonal pattern of JE which peaked in July. There were hotspots around Dibrugarh Municipality area, Duliajan oil town, Hatiali gaon, Naharkatiya chah bagicha, Nagaon Dhadumia gaon, and Nahortoli Tea Estate. Conclusion: On the basis of the study, JE hotspots can be identified that would help health authorities to further investigate and identify the factors responsible for its occurrence.
Subject(s)
Encephalitis, Japanese , Child , Child, Preschool , Disease Outbreaks , Encephalitis, Japanese/epidemiology , Hospital Records , Humans , Incidence , India/epidemiology , Infant , Infant, NewbornABSTRACT
BACKGROUND: There is an increasing use of cesarean delivery (CD) based on preference rather than on medical indication. However, the extent to which nonmedically indicated CD benefits or harms child survival remains unclear. Our hypothesis was that in groups with a low indication for CD, this procedure would be associated with higher child mortality and in groups with a clear medical indication CD would be associated with improved child survival chances. METHODS AND FINDINGS: We conducted a population-based cohort study in Brazil by linking routine data on live births between January 1, 2012 and December 31, 2018 and assessing mortality up to 5 years of age. Women with a live birth who contributed records during this period were classified into one of 10 Robson groups based on their pregnancy and delivery characteristics. We used propensity scores to match CD with vaginal deliveries (1:1) and prelabor CD with unscheduled CD (1:1) and estimated associations with child mortality using Cox regressions. A total of 17,838,115 live births were analyzed. After propensity score matching (PSM), we found that live births to women in groups with low expected frequencies of CD (Robson groups 1 to 4) had a higher death rate up to age 5 years if they were born via CD compared with vaginal deliveries (HR = 1.25, 95% CI: 1.22 to 1.28; p < 0.001). The relative rate was greatest in the neonatal period (HR = 1.39, 95% CI: 1.34 to 1.45; p < 0.001). There was no difference in mortality rate when comparing offspring born by a prelabor CD to those born by unscheduled CD. For the live births to women with a CD in a prior pregnancy (Robson group 5), the relative rates for child mortality were similar for those born by CD compared with vaginal deliveries (HR = 1.05, 95% CI: 1.00 to 1.10; p = 0.024). In contrast, for live births to women in groups with high expected rates of CD (Robson groups 6 to 10), the child mortality rate was lower for CD than for vaginal deliveries (HR = 0.90, 95% CI: 0.89 to 0.91; p < 0.001), particularly in the neonatal period (HR = 0.84, 95% CI: 0.83 to 0.85; p < 0.001). Our results should be interpreted with caution in clinical practice, since relevant clinical data on CD indication were not available. CONCLUSIONS: In this study, we observed that in Robson groups with low expected frequencies of CD, this procedure was associated with a 25% increase in child mortality. However, in groups with high expected frequencies of CD, the findings suggest that clinically indicated CD is associated with a reduction in child mortality.
Subject(s)
Cesarean Section , Child Mortality , Hospital Records , Parturition , Adult , Brazil , Child , Child, Preschool , Cohort Studies , Delivery, Obstetric , Female , Humans , Infant , Infant Mortality , Infant, Newborn , Kaplan-Meier Estimate , Longitudinal Studies , Male , Middle Aged , Parity , Young AdultABSTRACT
BACKGROUND: The adverse reactions (ADRs) of targeted therapy were closely associated with treatment response, clinical outcome, quality of life (QoL) of patients with cancer. However, few studies presented the correlation between ADRs of targeted therapy and treatment effects among cancer patients. This study was to explore the characteristics of ADRs with targeted therapy and the prognosis of cancer patients based on the clinical data. METHODS: A retrospective secondary data analysis was conducted within an ADR data set including 2703 patients with targeted therapy from three Henan medical centers of China between January 2018 and December 2019. The significance was evaluated with chi-square test between groups with or without ADRs. Univariate and multivariate logistic regression with backward stepwise method were applied to assess the difference of pathological characteristics in patients with cancer. Using the univariate Cox regression method, the actuarial probability of overall survival was performed to compare the clinical outcomes between these two groups. RESULTS: A total of 485 patients were enrolled in this study. Of all patients, 61.0% (n = 296) occurred ADRs including skin damage, fatigue, mucosal damage, hypertension and gastrointestinal discomfort as the top 5 complications during the target therapy. And 62.1% of ADRs were mild to moderate, more than half of the ADRs occurred within one month, 68.6% ADRs lasted more than one month. Older patients (P = 0.022) and patients with lower education level (P = 0.036), more than 2 comorbidities (P = 0.021), longer medication time (P = 0.022), drug combination (P = 0.033) and intravenous administration (P = 0.019) were more likely to have ADRs. Those with ADRs were more likely to stop taking (P = 0.000), change (P = 0.000), adjust (P = 0.000), or not take the medicine on time (P = 0.000). The number of patients with recurrence (P = 0.000) and metastasis (P = 0.006) were statistically significant difference between ADRs and non-ADRs group. And the patients were significantly poor prognosis in ADRs groups compared with non-ADRs group. CONCLUSION: The high incidence of ADRs would affect the treatment and prognosis of patients with cancer. We should pay more attention to these ADRs and develop effective management strategies.
Subject(s)
Molecular Targeted Therapy/adverse effects , Neoplasms/drug therapy , Adult , Aged , Aged, 80 and over , China/epidemiology , Drug Eruptions/epidemiology , Drug Eruptions/etiology , Drug-Related Side Effects and Adverse Reactions/epidemiology , Fatigue/chemically induced , Fatigue/epidemiology , Female , Gastrointestinal Diseases/chemically induced , Gastrointestinal Diseases/epidemiology , Hospital Records , Humans , Hypertension/chemically induced , Hypertension/epidemiology , Incidence , Kaplan-Meier Estimate , Male , Middle Aged , Mucositis/chemically induced , Mucositis/epidemiology , Neoplasm Metastasis , Neoplasm Recurrence, Local/epidemiology , Neoplasms/mortality , Prognosis , Proportional Hazards Models , Quality of Life , Retrospective Studies , Socioeconomic Factors , Treatment Outcome , Young AdultABSTRACT
OBJECTIVE: To determine how mental disorders and psychopharmacological treatments before and during COVID-19 hospital admissions are related to mortality. METHODS: Subjects included in the study were all adult patients with a diagnosis of COVID-19, confirmed clinically and by PCR, who were admitted to a tertiary university hospital in Badalona (Spain) between March 1 and November 17, 2020. Data were extracted anonymously from computerized clinical records. RESULTS: 2,150 subjects were included, 57% males, mean age 61 years. History of mental disorders was registered in 957 (45%). Throughout admission, de novo diagnosis of mood or anxiety, stress, or adjustment disorder was made in 12% of patients without previous history. Delirium was diagnosed in 10% of cases. 1011 patients (47%) received a psychotropic prescription during admission (36% benzodiazepines, 22% antidepressants, and 21% antipsychotics). Mortality rate was 17%. Delirium during admission and history of mood disorder were independently associated with higher mortality risk (hazard ratios, 1.39 and 1.52 respectively), while previous year's treatments with anxiolytics/hypnotics and antidepressants were independently associated with lower mortality risk (hazard ratios, 0.47 and 0.43, respectively). CONCLUSION: Mental symptoms are very common in patients hospitalized for COVID-19 infection. Detecting, diagnosing, and treating them is key to determining the prognosis of the disease and functional recovery.
Subject(s)
COVID-19 , Inpatients , Mental Disorders , Psychotropic Drugs , COVID-19/diagnosis , COVID-19/mortality , COVID-19/psychology , COVID-19/rehabilitation , COVID-19 Nucleic Acid Testing , Female , Hospital Records/statistics & numerical data , Hospitalization/statistics & numerical data , Humans , Inpatients/psychology , Inpatients/statistics & numerical data , Male , Mental Disorders/diagnosis , Mental Disorders/drug therapy , Mental Disorders/epidemiology , Mental Disorders/virology , Middle Aged , Prognosis , Psychotropic Drugs/classification , Psychotropic Drugs/therapeutic use , Recovery of Function , Risk Assessment , SARS-CoV-2/isolation & purification , Spain/epidemiologyABSTRACT
BACKGROUND: Acute pancreatitis may complicate pregnancy and both are associated with gallstones, but its incidence is not well known. AIMS: To validate hospital discharge records in diagnosing acute pancreatitis and gallstones and to evaluate acute pancreatitis incidence in non pregnant, pregnant and after delivery using hospital discharge records METHODS: We identified all hospital discharge records of hospitalized Sicilian women of childbearing age (2011-2016). We determined agreement between 300 hospital discharge records and hospital records in diagnosing acute pancreatitis and gallstones. Acute pancreatitis incidence, prognosis, and their relationship with age and gallstones were calculated in the three groups using hospital discharge records. RESULTS: There was 92% and 88% agreement in diagnosing acute pancreatitis and gallstones between hospital discharge and hospital records. In non pregnant, 1,564 of 7,236,863 women-years (21.61/100,000 person-years) developed acute pancreatitis. During pregnancy, 34 of 226,492 women-years developed acute pancreatitis (20.02/100,000 person-years). Postpartum acute pancreatitis incidence was higher than non pregnant, only in the first 2 years with the peak in the first semester (95.4/100,000 person-years). The increased incidence of postpartum acute pancreatitis was associated with gallstones in youngest women (gallstones acute pancreatitis in women below 20 years old versus non pregnant: rate ratios 16.61; 95% CI 8.40-32.87). CONCLUSIONS: Agreement in acute pancreatitis and gallstones diagnosis between hospital discharge and hospital records was accurate. Acute pancreatitis incidence was increased only in the first 2 years after delivery in young women with gallstones.
Subject(s)
Gallstones , Hospital Records , Pancreatitis , Patient Discharge , Pregnancy Complications , Adult , Age Factors , Female , Gallstones/complications , Gallstones/diagnosis , Gallstones/epidemiology , Hospital Records/standards , Hospital Records/statistics & numerical data , Hospitalization/statistics & numerical data , Humans , Incidence , Italy/epidemiology , Pancreatitis/diagnosis , Pancreatitis/epidemiology , Pancreatitis/etiology , Patient Discharge/standards , Patient Discharge/statistics & numerical data , Pregnancy , Pregnancy Complications/diagnosis , Prognosis , Reproducibility of Results , Risk FactorsABSTRACT
OBJECTIVE: To characterize agreement between administrative and registry data in the determination of patient-level comorbidities. BACKGROUND: Previous research finds poor agreement between these 2 types of data in the determination of outcomes. We hypothesized that concordance between administrative and registry data would also be poor. METHODS: A cohort of inpatient operations (length of stay 1 day or greater) was obtained from a consortium of 8 hospitals. Within each hospital, National Surgical Quality Improvement Program (NSQIP) data were merged with intra-institutional inpatient administrative data. Twelve different comorbidities (diabetes, hypertension, congestive heart failure, hemodialysis-dependence, cancer diagnosis, chronic obstructive pulmonary disease, ascites, sepsis, smoking, steroid, congestive heart failure, acute renal failure, and dyspnea) were analyzed in terms of agreement between administrative and NSQIP data. RESULTS: Forty-one thousand four hundred thirty-two inpatient surgical hospitalizations were analyzed in this study. Concordance (Cohen Kappa value) between the 2 data sources varied from 0.79 (diabetes) to 0.02 (dyspnea). Hospital variation in concordance (intersite variation) was quantified using a test of homogeneity. This test found significant intersite variation at a level of P < 0.001 for each of the comorbidities except for dialysis (P = 0.07) and acute renal failure (P = 0.19). These findings imply significant differences between hospitals in their generation of comorbidity data. CONCLUSION: This study finds significant differences in how administrative versus registry data assess patient-level comorbidity. These differences are of concern to patients, payers, and providers, each of which had a stake in the integrity of these data. Standardized definitions of comorbidity and periodic audits are necessary to ensure data accuracy and minimize bias.
Subject(s)
Hospital Records , Medical Records , Postoperative Complications/epidemiology , Registries , Adult , Aged , Cohort Studies , Comorbidity , Female , Humans , Male , Middle AgedABSTRACT
OBJECTIVES: To compare the impact of Baby-Friendly designation vs rates of in-hospital breastfeeding initiation on breastfeeding outcomes at 3, 6, and 12 months postdischarge. STUDY DESIGN: Breastfeeding outcome data from the 2018 Centers for Disease Control (CDC) Breastfeeding Report Card were used as a basis for determining outcomes from the corresponding 2015 birth cohort. Linear regression models were used to determine the strength of association of breastfeeding initiation and Baby-Friendly hospital penetrance and attainment of postdischarge breastfeeding rates. All hospital births from all 50 states, 3 territories, and the District of Columbia were included in the study. RESULTS: Statewide breastfeeding initiation rates were positively associated with targeted breastfeeding outcomes. Similar associations were not found for Baby-Friendly hospital designation penetrance. CONCLUSIONS: To attain the Healthy People 2020 breastfeeding objectives, future public policy initiatives should consider the interaction of population demographics, individual hospital programs, and public health strategies used to support breastfeeding in states reporting high breastfeeding initiation rates.
Subject(s)
Breast Feeding/statistics & numerical data , Centers for Disease Control and Prevention, U.S./statistics & numerical data , Health Promotion , Hospital Records/statistics & numerical data , Public Policy , Humans , Infant , Retrospective Studies , United StatesABSTRACT
RATIONALE & OBJECTIVE: Elicitation and documentation of patient preferences is at the core of shared decision making and is particularly important among patients with high anticipated mortality. The extent to which older patients with incident kidney failure undertake such discussions with their providers is unknown and its characterization was the focus of this study. STUDY DESIGN: Retrospective cohort study. SETTING & PARTICIPANTS: A random sample of veterans 67 years and older with incident kidney failure receiving care from the US Veterans Health Administration between 2005 and 2010. EXPOSURES: Demographic and facility characteristics, as well as predicted 6-month mortality risk after dialysis initiation and documentation of resuscitation preferences. OUTCOMES: Documented discussions of dialysis treatment and supportive care. ANALYTICAL APPROACH: We reviewed medical records over the 2 years before incident kidney failure and up to 1 year afterward to ascertain the frequency and timing of documented discussions about dialysis treatment, supportive care, and resuscitation. Logistic regression was used to identify factors associated with these documented discussions. RESULTS: The cohort of 821 veterans had a mean age of 80.9±7.2 years, and 37.2% had a predicted 6-month mortality risk>20% with dialysis. Documented discussions addressing dialysis treatment and resuscitation were present in 55.6% and 77.1% of patients, respectively. Those addressing supportive care were present in 32.4%. The frequency of documentation varied by mortality risk and whether the patient ultimately started dialysis. In adjusted analyses, the frequency and pattern of documentation were more strongly associated with geographic location and receipt of outpatient nephrology care than with patient demographic or clinical characteristics. LIMITATIONS: Documentation may not fully reflect the quality and content of discussions, and generalizability to nonveteran patients is limited. CONCLUSIONS: Among older veterans with incident kidney failure, discussions of dialysis treatment are decoupled from other aspects of advance care planning and are suboptimally documented, even among patients at high risk for mortality.
Subject(s)
Advance Care Planning , Hospital Records , Kidney Failure, Chronic/psychology , Patient Preference , Veterans/psychology , Age Factors , Aged , Aged, 80 and over , Comprehensive Health Care , Decision Making, Shared , Female , Goals , Hospitals, Veterans , Humans , Male , Palliative Care , Professional-Patient Relations , Renal Dialysis/psychology , Resuscitation/psychology , Retrospective Studies , Risk , Sampling Studies , Terminal CareABSTRACT
OBJECTIVE: A hospital-wide quality improvement process through a care delivery redesign (CDR) was initiated to improve patient care efficiency, clinical documentation, and length of stay (LOS). The impact of CDR was assessed through LOS, unplanned readmission rates, and hospital financial metrics. METHODS: The CDR team consisted of the Chief of Vascular Surgery, inpatient nurse practitioner, dedicated case manager, clinical documentation improvement specialist, and vascular surgery residents and faculty. The nurse practitioner facilitated patient care coordination, resident system-based education, and multidisciplinary collaboration. Tools created to track performance and to ensure sustainability included daily discussions of patient care barriers and solutions; standardized order sets; a mobile app for residents containing resident service expectations, disease-specific resources, and vascular surgery journal links; and a weekly inpatient tracker showing real-time patient care data. Outcome measures included LOS, case mix index, contribution margin, and unplanned readmissions. Each outcome was determined for all inpatient admissions the year before and the 12 months after CDR was initiated. Outcomes were compared between the two groups. RESULTS: Implementation of CDR resulted in a 23% decrease in LOS (P = .003), reducing the gap to the Centers for Medicare and Medicaid Services geometric mean LOS from 2.1 days to 0.5 day (P < .001). Clinical documentation resulted in an increase in case mix index of 10% (P = .011). The 30-day unplanned readmission rates did not change in the 12 months after CDR was initiated compared with the year before (P = .92). Financial data demonstrated decreased variable cost and increased revenue resulting in a $1.89 million increase in contribution margin. CONCLUSIONS: A CDR predicated on a dedicated service line advanced practitioner, clinical documentation education, weekly service tracker review, and real-time management of system-related barriers to patient care is described. Implementation of the CDR reduced hospital LOS with no change in unplanned readmissions and provided significant financial benefit to the hospital by increasing revenue and decreasing variable cost.
Subject(s)
Delivery of Health Care/organization & administration , Quality Improvement , Vascular Surgical Procedures/standards , Aged , Cohort Studies , Female , Hospital Records , Hospitals , Humans , Length of Stay/statistics & numerical data , Male , Middle Aged , Retrospective StudiesABSTRACT
OBJECTIVE: The objective of this study was to develop and validate a mortality risk index from multimorbidity using pharmaceutical dispensing data. DESIGN: The P3 (Pharmaceutical Prescribing Profile) mortality risk index was created (development n=2,331,645) using pharmaceutical dispensing records for the last 12 months for long-term conditions. ß coefficients from a Cox proportional hazards model for mortality provided component scores for 30 medication categories. Index validity was tested (validation n=1,000,166) for risk of mortality and overnight hospitalization over 1 year, and predictive ability calculated for the P3 index relative to the hospital admission-based Charlson and M3 indices (all models adjusted for age/sex). SETTING: This study was carried out in the setting of routine health data sources for the New Zealand adult general population, for an index date of January 1, 2012. RESULTS: The P3 index performed equivalently to Charlson for 1-year mortality risk [c-statistics=0.920 and 0.921, respectively; difference=-0.001; 95% confidence interval (CI): -0.004, 0.001]; P3 outperformed Charlson for overnight hospitalization risk (c-statistics=0.712 and 0.682; difference=0.029; 95% CI: 0.028, 0.031). Adding P3 to a model already containing the M3 index led to only marginal improvement for mortality (difference in c-statistics=0.004; 95% CI: 0.002, 0.005) but some improvement for hospitalization risk (difference in c-statistics=0.020; 95% CI: 0.018, 0.021). CONCLUSIONS: The P3 index provides an appropriate alternative to measures like the Charlson and M3 index when analysts only have access to pharmaceutical dispensing data for determining multimorbidity. The P3 index had a performance advantage over Charlson when analyzing risk for overnight hospital admissions.