Are there lost opportunities in chronic kidney disease? A region-wide cohort study.

OBJECTIVES: Identify the windows of opportunity for the diagnosis of chronic kidney disease (CKD) and the prevention of its adverse outcomes and quantify the potential population gains of such prevention. DESIGN AND SETTING: Observational, population-wide study of residents in the Stockholm and Skåne regions of Sweden between 1 January 2015 and 31 December 2020. PARTICIPANTS: All patients who did not yet have a diagnosis of CKD in healthcare but had CKD according to laboratory measurements of CKD biomarkers available in electronic health records. OUTCOME MEASURES: We assessed the proportions of the patient population that received a subsequent diagnosis of CKD in healthcare, that used guideline-directed pharmacological therapy (statins, renin-angiotensin aldosterone system inhibitors (RAASi) and/or sodium-glucose cotransporter-2 inhibitors (SGLT2i)) and that experienced adverse outcomes (all-cause mortality, cardiovascular mortality or major adverse cardiovascular events (MACE)). The potential to prevent adverse outcomes in CKD was assessed using simulations of guideline-directed pharmacological therapy in untreated subsets of the study population. RESULTS: We identified 99 382 patients with undiagnosed CKD during the study period. Only 33% of those received a subsequent diagnosis of CKD in healthcare after 5 years. The proportion that used statins or RAASi was of similar size to the proportion that didn't, regardless of how advanced their CKD was. The use of SGLT2i was negligible. In simulations of optimal treatment, 22% of the 21 870 deaths, 27% of the 14 310 cardiovascular deaths and 39% of the 22 224 MACE could have been avoided if every patient who did not use an indicated medication for their laboratory-confirmed CKD was treated with guideline-directed pharmacological therapy for CKD. CONCLUSIONS: While we noted underdiagnosis and undertreatment of CKD in this large contemporary population, we also identified a substantial realisable potential to improve CKD outcomes and reduce its burden by treating patients early with guideline-directed pharmacological therapy.

Usefulness of Heart Failure Categories Based on Left Ventricular Ejection Fraction.

BACKGROUND: Heart failure guidelines have recently introduced a narrow category with mildly reduced left ventricular ejection fraction (LVEF) (heart failure with mildly reduced ejection fraction; LVEF 41%-49%) between the previous categories of reduced (heart failure with reduced ejection fraction; LVEF ≤40%) and preserved (heart failure with preserved ejection fraction; LVEF ≥50%) ejection fraction. Grouping of continuous measurements into narrow categories can be questioned if their variability is high. METHODS AND RESULTS: We constructed a cohort of all 9716 new cases of chronic heart failure with an available LVEF in Stockholm, Sweden, from January 1, 2015, until December 31, 2020. All values of LVEF were collected over time, and patients were followed up until death, moving out of Stockholm, or end of study. Mixed models were used to quantify within-person variance in LVEF, and multistate Markov models, with death as an absorbing state, to quantify the stability of LVEF categories. LVEF values followed a normal distribution. The SD of the within-person variance in LVEF over time was 7.4%. The mean time spent in any LVEF category before transition to another category was on average <1 year for heart failure with mildly reduced ejection fraction. Probabilities of transitioning between categories during the first year were substantial; patients with heart failure with mildly reduced ejection fraction had a probability of <25% of remaining in that category 1 year later. CONCLUSIONS: LVEF follows a normal distribution and has considerable variability over time, which may impose a risk for underuse of efficient treatment. The heart failure with mildly reduced ejection fraction category is especially inconstant. Assumptions of a patient's current LVEF should take this variability and the normal distribution of LVEF into account.

Heart failure outcomes by left ventricular ejection fraction in a contemporary region-wide patient cohort.

AIMS: This study aimed to characterize a contemporary population with subtypes of incident or prevalent heart failure (HF) based on reduced (HFrEF), mildly reduced, or preserved (HFpEF) left ventricular ejection fraction (LVEF) and to assess how outcomes, healthcare, treatments, and healthcare costs vary between each subtype of incident HF. METHODS AND RESULTS: Using Swedish data from the CardioRenal and Metabolic disease Heart Failure (CaReMe HF) study, updated to cover a more recent time period, this population-based study characterized patients from Stockholm County, Sweden, with incident HF (patients with a first HF diagnosis between 1 January 2015 and 31 December 2019) or prevalent HF (patients with a first HF diagnosis before 1 January 2020). Patients with incident HF had LVEF measured by echocardiography within ±90 days of their first HF diagnosis, and patients with prevalent HF within 5 years prior to the index date. The 13 375 patients with prevalent HF (39.2% women, mean age 73.9 years) had multiple comorbidities (cardiovascular diseases, chronic kidney disease, diabetes, and cancer). These were already highly prevalent at the time of the first HF diagnosis in the 8042 patients with incident HF (40.5% women, mean age 72.3 years). Patients with incident HFpEF received less specialist HF care at outpatient secondary care facilities following their first HF diagnosis than those with incident HFrEF. Patients with HFrEF had higher risks of complications and exerted a higher burden, in terms of care for and costs of HF, on the healthcare system. CONCLUSIONS: This study of contemporary patients with incident HF demonstrates that those with HFpEF and HFrEF differ considerably in terms of clinical presentation, prognosis, and care, highlighting a potential to improve HF outcomes.

A retrospective nationwide analysis of evolocumab use in Sweden and its effect on low-density lipoprotein cholesterol levels.

Background: Treatment with proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors reduces low-density lipoprotein cholesterol (LDL-C) levels and decreases the incidence of major ischaemic events in clinical trials. However, less is known about the efficacy of PCSK9 inhibition in clinical practice. This study aimed to describe the change in LDL-C levels over time and LDL-C goal achievement in patients with/without atherosclerotic cardiovascular disease (ASCVD), who were prescribed evolocumab in clinical practice, and to describe adherence to and persistence with treatment. Methods: Patients in Sweden with at least one evolocumab prescription filled between July 2015 and May 2020 were included. Medical history and lipid-lowering therapy (LLT) were sourced from national registries. LDL-C levels before and after treatment initiation were assessed using medical records. Persistence with and adherence to evolocumab and oral LLT were assessed up to 12 months after treatment initiation using the refill-gap method and proportion of days covered, respectively. Results: Of the 2,360 patients with at least one prescription for evolocumab, 2,341 were included; 1,858 had ASCVD. Persistence with (76%) and adherence to (86%) evolocumab were high throughout the 12 months following initiation. Mean LDL-C levels decreased by 53% (95% confidence interval [CI]: 51-55%) in patients adherent to evolocumab (n = 567) and 59% (95% CI: 55-63%) in patients adherent to evolocumab and oral LLT (n = 186). Similar reductions in LDL-C were observed in patients with/without ASCVD. Reduced LDL-C levels remained stable during follow-up. Amongst patients adherent to evolocumab and those adherent to evolocumab and oral LLT, 23 and 55% achieved the LDL-C goal of <1.4 mmol/L, respectively. Conclusions: The evolocumab LDL-C-lowering effect observed in clinical trials was confirmed in clinical practice in Sweden, particularly in patients also treated with oral LLT. During follow-up, adherence to and persistence with evolocumab were high, with stable reduced levels of LDL-C during observation.

Hyperkalaemia-related reduction of RAASi treatment associates with more subsequent inpatient care.

BACKGROUND: Hyperkalaemia is a barrier to achieving optimal, guideline-directed treatment with renin-angiotensin-aldosterone system inhibitors (RAASi) in patients with chronic kidney disease (CKD) and/or heart failure (HF). This study describes the association between hyperkalaemia-related RAASi treatment reduction and number of hospitalized days in patients with CKD and/or HF in Sweden and Japan. METHODS: Using data from health registers and hospital medical records, patients with CKD and/or HF currently receiving RAASi who experienced an index hyperkalaemia episode were identified and categorized as having maintained or reduced RAASi treatment post-index; propensity-score matching (1:1) was applied to balance the groups in terms of baseline characteristics. Changes in the number of all-cause, CKD-, and HF-related hospitalized days per patient-year during 6 months before versus after index, and the number of days alive and out of hospital (DAOH) during 6 months post-index were described. RESULTS: Overall, 20 824 and 7789 patients were included from Sweden and Japan, respectively, 42% and 38% of whom reduced their RAASi treatment after the index hyperkalaemia episode. During the 6 months post-index, all-cause hospitalization (95% confidence intervals) increased by 18.2 (17.0-19.2) days per person-year in Sweden and 17.9 (17.4-18.5) days per person-year in Japan among patients with reduced RAASi treatment compared with increases of 9.4 (8.6-10.4) and 8.5 (8.0-9.0) days per person-year, respectively, among patients with maintained RAASi treatment. Mean (standard deviation) DAOH were 121.5 (75.0) in Sweden and 141.7 (54.5) in Japan among patients with reduced RAASi treatment compared with 154.0 (51.3) and 157.5 (31.6) days, respectively, among patients with maintained RAASi treatment. CONCLUSION: Patients whose RAASi treatment was reduced after a hyperkalaemia episode had more hospitalized days and fewer DAOH compared with patients whose RAASi treatment was maintained.

Time after time: failure to identify and support females with ADHD - a Swedish population register study.

BACKGROUND: Attention deficit hyperactivity disorder (ADHD) is associated with risk taking and negative health-related outcomes across the lifespan. Due to delay in referral and diagnostics, young females with ADHD may not be identified, nor appropriately supported by adequate interventions. METHODS: A total of 85,330 individuals with ADHD, all of whom were residents in Stockholm County between January 01, 2011, and December 31, 2021, were included as participants in this population-based, cross-sectional cohort study. Population controls (n = 426,626) were matched by age, sex, and socioeconomic status (SES). Data was obtained from Regional Healthcare Data Warehouse of Region Stockholm (VAL) in Stockholm County. Exposure was ADHD-index, defined as the first record of either ICD-10 F90 diagnosis and/or ATC-code for stimulant or non-stimulant ADHD-medication during the study period. Primary outcome was age at ADHD-index. Secondary outcome measures were psychiatric comorbidity, pharmacological treatment, and health care utilization, prior to and after ADHD-index. RESULTS: Females were older at ADHD-index (23.5 years, SD 13.8) compared to males (19.6 years, SD 13.9, 95% CI of difference 3.74-4.11). Overall, females with ADHD showed higher rates of psychiatric comorbidity, pharmacological treatment, and health care utilization, compared to males with ADHD and female controls. CONCLUSIONS: Females with ADHD receive diagnosis and treatment for ADHD approximately 4 years later than males. They have a higher burden of comorbid psychiatric conditions and health care utilization, compared to males with ADHD and female controls, both prior to and after ADHD-index. To prevent long-term adverse consequences for females with ADHD, methods, and tools for early diagnosis and treatments that mitigate personal suffering and societal burden are warranted.

Determinants and Outcomes of Suicidal Behavior Among Patients With Major Depressive Disorder.

Importance: Major depressive disorder (MDD) is an important risk factor of suicidal behavior, but the added burden of suicidal behavior and MDD on the patient and societal level, including all-cause mortality, is not well studied. Also, the contribution of various prognostic factors for suicidal behavior has not been quantified in larger samples. Objective: To describe the clinical and societal outcomes, including all-cause mortality, of suicidal behavior in patients with MDD and to explore associated risk factors and clinical management to inform future research and guidelines. Design, Setting, and Participants: This population-based cohort study used health care data from the Stockholm MDD Cohort. Patients aged 18 years or older with episodes of MDD diagnosed between January 1, 2012, and December 31, 2017, in any health care setting were included. The dates of the data analysis were February 1 to November 1, 2022. Exposures: Patients with MDD with and without records of suicidal behavior. Main Outcomes and Measures: The main outcome was all-cause mortality. Secondary outcomes were comorbid conditions, medications, health care resource utilization (HCRU), and work loss. Using Region Stockholm registry variables, a risk score for factors associated with suicidal behavior within 1 year after the start of an MDD episode was calculated. Results: A total of 158 169 unipolar MDD episodes were identified in 145 577 patients; 2240 (1.4%) of these episodes, in 2219 patients, included records of suicidal behavior (mean [SD] patient age, 40.9 [18.6] years; 1415 episodes [63.2%] in women and 825 [36.8%] in men). A total of 11 109 MDD episodes in 9574 matched patients with MDD without records of suicidal behavior were included as controls (mean [SD] patient age, 40.8 [18.5] years; 7046 episodes [63.4%] in women and 4063 [36.6%] in men). The all-cause mortality rate was 2.5 per 100 person-years at risk for the MDD-SB group and 1.0 per 100 person-years at risk for the MDD-non-SB group, based on 466 deaths. Suicidal behavior was associated with higher all-cause mortality (hazard ratio, 2.62 [95% CI, 2.15-3.20]), as well as with HCRU and work loss, compared with the matched controls. Patients with MDD and suicidal behavior were younger and more prone to have psychiatric comorbid conditions, such as personality disorders, substance use, and anxiety, at the start of their episode. The most important factors associated with suicidal behavior within 1 year after the start of an MDD episode were history of suicidal behavior and age, history of substance use and sleep disorders, and care setting in which MDD was diagnosed. Conclusions and Relevance: This cohort study's findings suggest that high mortality, morbidity, HCRU, and work loss associated with MDD may be substantially accentuated in patients with MDD and suicidal behavior. Use of medication aimed at decreasing the risk of all-cause mortality during MDD episodes should be systematically evaluated to improve long-term outcomes.

Association of Treatment-Resistant Depression With Patient Outcomes and Health Care Resource Utilization in a Population-Wide Study.

Importance: The totality of the societal and individual impact of treatment-resistant depression (TRD) is unknown, as is the potential to prognosticate TRD. The generalizability of many observational studies on TRD is limited. Objective: To estimate the burden of TRD in a large population-wide cohort in an area with universal health care by including data from both health care types (psychiatric and nonpsychiatric) and, further, to develop a prognostic model for clinical use. Design, Setting, and Participants: This cohort study, a population-based observational study, assessed data from the Stockholm MDD Cohort for episodes of major depressive disorder (MDD) between 2010 and 2017 that fulfilled predefined criteria for TRD (≥3 consecutive antidepressant treatments). Data analysis was performed from August 2020 to May 2022. Main Outcomes and Measures: Outcomes were psychiatric and nonpsychiatric comorbid conditions, antidepressant treatments, health care resource utilization, lost workdays, all-cause mortality, and intentional self-harm and, in the prognostic model, TRD. Results: A total of 158 169 unipolar MDD episodes (in 145 577 patients) were identified between January 1, 2012, and December 31, 2017 (64.7% women; median [IQR] age, 42 years [30-56]). Of these, 12 793 episodes (11%) fulfilled criteria for TRD. The median (IQR) time from the start of MDD episode to TRD was 552 days (294-932). Selective serotonin reuptake inhibitor was the most common class of antidepressant treatment in all treatment steps, and 5907 patients (46.2%) received psychotherapy at some point before initiation of the third pharmacological antidepressant treatment. Compared with matched non-TRD episodes, TRD episodes had more inpatient bed-days (mean, 3.9 days; 95% CI, 3.6-4.1, vs 1.3 days; 95% CI, 1.2-1.4) and more lost workdays (mean, 132.3 days; 95% CI, 129.5-135.1, vs 58.7 days; 95% CI, 56.8-60.6) 12 months after the index date. Anxiety, stress, sleep disorder, and substance use disorder were all more common comorbid conditions in TRD episodes. Intentional self-harm was more than 4 times more common in TRD episodes. The all-cause mortality rate for patients with MDD with TRD episodes was 10.7/1000 person-years at risk, compared with 8.7/1000 person-years at risk for patients with MDD without TRD episodes (hazard ratio, 1.23; 95% CI, 1.07-1.41). Median time from start of the first antidepressant treatment to start of the second, and from start of the second antidepressant treatment to start of the third, was 165 and 197 days, respectively. The severity of MDD, defined using the self-rating Montgomery-Åsberg Depression Rating Scale (MADRS-S) at time of MDD diagnosis, was found to be the most important prognostic factor for TRD (C index = 0.69). Conclusions and Relevance: In this cohort study, TRD was a common variant of MDD when including patients from both health care types, which is associated with a high disease burden for both patients and society. The median time between initiation of new antidepressant treatments was longer than recommended in current treatment guidelines, suggesting room for more structured and timely depression care.

Clinical and societal burden of incident major depressive disorder: A population-wide cohort study in Stockholm.

OBJECTIVE: Major depressive disorder (MDD) is a highly prevalent condition and a significant contributor to global disability. The vast majority of MDD is handled by primary care, but most real-life studies on MDD only include data from secondary care. The aim of this study was therefore to estimate the total clinical and societal burden of incident MDD including data from all healthcare levels in a large well-defined western European healthcare region. METHODS: Population-wide observational study included healthcare data from Region Stockholm, Sweden's largest region with approximately 2.4 million inhabitants. All patients in Region Stockholm having their first unipolar MDD episode between January 1, 2012, and December 31, 2018, were included. The sample also included matched study population controls. Outcomes were psychiatric and non-psychiatric comorbid conditions, antidepressant therapy use, healthcare resource utilization, work loss, and all-cause mortality. RESULTS: In the study period, 137,822 patients in Region Stockholm were diagnosed with their first unipolar MDD episode. Compared with matched controls, MDD patients had a higher burden of non-psychiatric and psychiatric comorbid conditions, 3.2 times higher outpatient healthcare resource utilization and 8.6 times more work loss. MDD was also associated with a doubled all-cause mortality compared with matched controls (HR: 2.2 [95% CI: 2.0-2.4]). CONCLUSIONS: The high mortality, morbidity, healthcare resource utilization, and work loss found in this study confirms that MDD is associated with individual suffering and low functioning leading to substantial costs for patients and society. These findings should motivate additional efforts in improving outcomes for MDD patients.

Real-World Effectiveness of Anti-Resorptive Treatment in Patients With Incident Fragility Fractures-The STORM Cohort-A Swedish Retrospective Observational Study.

Results from real-world evidence (RWE) from the largest healthcare region in Sweden show low uptake of antiresorptive (AR) treatment, but beneficial effect in those receiving treatment, especially for the composite outcome of hip fracture or death. For RWE studies, Sweden is unique, with virtually complete coverage of electronic medical records (EMRs) and both regional and national registries, in a universal publicly funded healthcare system. To our knowledge, there is no previous RWE study evaluating the efficacy of AR treatment compared to no AR treatment after fragility fracture, including data on parenteral treatments administered in hospital settings. The Stockholm Real World Management (STORM) study cohort was established in the healthcare region of Stockholm to retrospectively assess the effectiveness of AR treatment after first fragility fracture using the regional EMR system for both hospital and primary care. Between 2012 and 2018, we identified 69,577 fragility fracture episodes among 59,078 patients, men and women, 50 years and older. Of those, 21,141 patients met inclusion and exclusion criteria (eligible cohort). From these, the final matched study cohort comprised 9840 fragility fractures (cases receiving AR treatment [n = 1640] and controls not receiving AR treatment [n = 8200]). Propensity scores were estimated using logistic regression models with AR treatment as outcome and confounders as independent variables followed by analysis using Cox proportional hazard models. Real world evidence from Sweden's largest healthcare region, comprising a quarter of the Swedish population, show that only 10% of patients receive AR treatment within 1 year after a fragility fracture. Factors associated with not receiving treatment include having a diagnosis of cardiovascular disease. In those treated, AR have positive effects particularly on the composite of fracture and death (any fracture/death and hip fracture/death) in individuals matched for all major confounders. © 2022 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).

Risk factors for COVID-19-related death, hospitalization and intensive care: a population-wide study of all inhabitants in Stockholm.

Since the beginning of the Covid-19 pandemic, the scientific community has explored determinants of Covid 19 disease severity. However, the majority of studies are based on in-hospital patients with high risk of collider- or selection bias. The present investigation details risk factors associated with overall mortality, hospitalization and intensive care unit (ICU) admission in Covid-19 infections, with complete population coverage and high-resolution data on patient characteristics and comorbid conditions This population-based observational study comprises all residents 18 years and older in Stockholm Region-1.8 million inhabitants-using the real-time Covid-19 monitoring framework. The observation period lasted between March 1 to December 31, 2020. Hazard ratios (HR) for risk factors of Covid-19 disease severity were assessed using Cox proportional hazard models. In total, 3322 deaths, 11,508 hospitalizations and 1423 ICU-admissions related to Covid-19 occurred during the study period. Kidney failure, diabetes and obesity increased risk of mortality and so did heart failure and ischemic heart disease. However, atrial fibrillation and hypertension did not. Risk of hospitalization follow a similar pattern, whereas admission to intensive care differs; triage processes where clearly present as certain co-morbid conditions were associated with lower ICU admission. Observed differences in risk of mortality and hospitalization among patients with Covid 19 raise important questions about potentially protective comedication which will be further addressed using the real-time Covid-19 monitoring framework.

Renin-Angiotensin Aldosterone System Inhibitors in Primary Prevention and COVID-19.

Background Considering the widespread risk of collider bias and confounding by indication in previous research, the associations between renin-angiotensin aldosterone system (RAAS) inhibitor use and COVID-19 remain unknown. Accordingly, this study tested the hypothesis that RAAS inhibitors influence the summation effect of COVID-19 and its progression to severe outcomes. Methods and Results This nationwide cohort study compared all residents of Sweden, without prior cardiovascular disease, in monotherapy (as of January 1, 2020) with a RAAS inhibitor to those using a calcium channel blocker or a thiazide diuretic. Comparative cohorts were balanced using machine-learning-derived propensity score methods. Of 165 355 people in the analysis (51% women), 367 were hospitalized or died with COVID-19 (246 using a RAAS inhibitor versus 121 using a calcium channel blocker or thiazide diuretic; Cox proportional hazard ratio [HR], 0.97; 95% CI, 0.74-1.27). When each outcome was assessed separately, 335 people were hospitalized with COVID-19 (HR, 0.92; 95% CI, 0.70-1.22), and 64 died with COVID-19 (HR, 1.22; 95% CI, 0.68-2.19). The severity of COVID-19 outcomes did not differ between those using a RAAS inhibitor and those using a calcium channel blocker or thiazide diuretic (ordered logistic regression odds ratio, 1.01; 95% CI, 0.89-1.14). Conclusions Despite potential limitations, this study is among the best available evidence that RAAS inhibitor use in primary prevention does not increase the risk of severe COVID-19 outcomes; presenting strong data from which scientists and policy makers alike can base, with greater confidence, their current position on the safety of using RAAS inhibitors during the COVID-19 pandemic.

A framework for monitoring of new drugs in Sweden.

In order to monitor the net public health benefit of new drugs, especially in the light of recent stepwise approval approaches, there is a need to optimize real-time post-marketing evaluation of new drugs using data collected in routine care. Sweden, with its unique possibilities for observational research, can provide these data. We herein propose a framework for continuous monitoring of the effectiveness, safety, and cost-effectiveness of new drugs, using prospectively determined protocols designed in collaboration between all relevant stakeholders. We believe that this framework can be a useful tool for healthcare authorities and reimbursement agencies in the introduction of new drugs.

Persistence with dimethyl fumarate in relapsing-remitting multiple sclerosis: a population-based cohort study.

PURPOSE: To describe patients initiating dimethyl fumarate (DMF) and measure persistence with DMF, discontinuation, and switching in treatment-naïve DMF patients and patients switching to DMF from other multiple sclerosis disease-modifying treatments (DMTs). METHODS: A population-based cohort study of all Stockholm County residents initiating DMF from 9 May 2014 until 31 May 2017. All data were derived from a regional database that collects individual-level data on healthcare and drug utilization of all residents. The study outcomes were persistence with DMF and DMF discontinuation and switching to other DMTs. Persistence was measured as the number of days until either DMF discontinuation (treatment gap ≥ 60 days) or switching to another DMT. RESULTS: The study included 400 patients (median follow-up = 2.5 years). The majority had previously been treated with other DMTs (61%). Throughout the follow-up period, 124 patients (31%) discontinued DMF and 114 patients (29%) switched treatment. Overall, 34% of patients initiating DMF stopped treatment within 1 year and only 43% of patients remained on DMF at 2 years from treatment initiation. CONCLUSIONS: DMF had a rapid market uptake likely due to high expectations held by both patients and clinicians. However, persistence with DMF in routine clinical practice was found to be low.

Antibiotic use and bacterial complications following upper respiratory tract infections: a population-based study.

OBJECTIVES: To investigate if use of antibiotics was associated with bacterial complications following upper respiratory tract infections (URTIs). DESIGN: Ecological time-trend analysis and a prospective cohort study. SETTING: Primary, outpatient specialist and inpatient care in Stockholm County, Sweden. All analyses were based on administrative healthcare data on consultations, diagnoses and dispensed antibiotics from January 2006 to January 2016. MAIN OUTCOME MEASURES: Ecological time-trend analysis: 10-year trend analyses of the incidence of URTIs, bacterial infections/complications and respiratory antibiotic use. Prospective cohort study: Incidence of bacterial complications following URTIs in antibiotic-exposed and non-exposed patients. RESULTS: The utilisation of respiratory tract antibiotics decreased by 22% from 2006 to 2015, but no increased trend for mastoiditis (p=0.0933), peritonsillar abscess (p=0.0544), invasive group A streptococcal disease (p=0.3991), orbital abscess (p=0.9637), extradural and subdural abscesses (p=0.4790) and pansinusitis (p=0.3971) was observed. For meningitis and acute ethmoidal sinusitis, a decrease in the numbers of infections from 2006 to 2015 was observed (p=0.0038 and p=0.0003, respectively), and for retropharyngeal and parapharyngeal abscesses, an increase was observed (p=0.0214). Bacterial complications following URTIs were uncommon in both antibiotic-exposed (less than 1.5 per 10 000 episodes) and non-exposed patients (less than 1.3 per 10 000 episodes) with the exception of peritonsillar abscess after tonsillitis (risk per 10 000 tonsillitis episodes: 32.4 and 41.1 in patients with no antibiotic treatment and patients treated with antibiotics, respectively). CONCLUSIONS: Bacterial complications following URTIs are rare, and antibiotics may lack protective effect in preventing bacterial complications. Analyses of routinely collected administrative healthcare data can provide valuable information on the number of URTIs, antibiotic use and bacterial complications to patients, prescribers and policy-makers.

Healthcare Utilisation and Drug Treatment in a Large Cohort of Patients with Inflammatory Bowel Disease.

BACKGROUND AND AIMS: Crohn's disease [CD] and ulcerative colitis [UC] are chronic diseases associated with a substantial utilisation of healthcare resources. We aimed to estimate the prevalence of inflammatory bowel disease [IBD], CD, and UC and to describe and compare healthcare utilisation and drug treatment in CD and UC patients. METHODS: This was a cross-sectional study of all patients with a recorded IBD diagnosis in Stockholm County, Sweden. Data on outpatient visits, hospitalisations, surgeries, and drug treatment during 2013 were analysed. RESULTS: A total of 13 916 patients with IBD were identified, corresponding to an overall IBD prevalence of 0.65% [CD 0.27%, UC 0.35%, inflammatory bowel disease unclassified 0.04%]; 49% of all IBD patients were treated with IBD-related drugs. Only 3.6% of the patients received high-dose corticosteroids, whereas 32.4% were treated with aminosalicylates [CD 21.2%, UC 41.0%, p < 0.0001]. More CD patients were treated with biologicals compared with UC patients [CD 9.6%, UC 2.9%, p < 0.0001] and surgery was significantly more common among CD patients [CD 3.0%, UC 0.8%, p < 0.0001]. CONCLUSIONS: This study indicates that patients with CD are the group with the highest medical needs. Patients with CD utilised significantly more healthcare resources [including outpatient visits, hospitalisations, and surgeries] than UC patients. Twice as many CD patients received immunomodulators compared with UC patients and CD patients were treated with biologicals three times more often. These results highlight that CD remains a challenge and further efforts are needed to improve care in these patients.

Dabigatran - a continuing exemplar case history demonstrating the need for comprehensive models to optimize the utilization of new drugs.

BACKGROUND: There are potential conflicts between authorities and companies to fund new premium priced drugs especially where there are effectiveness, safety and/or budget concerns. Dabigatran, a new oral anticoagulant for the prevention of stroke in patients with non-valvular atrial fibrillation (AF), exemplifies this issue. Whilst new effective treatments are needed, there are issues in the elderly with dabigatran due to variable drug concentrations, no known antidote and dependence on renal elimination. Published studies showed dabigatran to be cost-effective but there are budget concerns given the prevalence of AF. These concerns resulted in extensive activities pre- to post-launch to manage its introduction. OBJECTIVE: To (i) review authority activities across countries, (ii) use the findings to develop new models to better manage the entry of new drugs, and (iii) review the implications based on post-launch activities. METHODOLOGY: (i) Descriptive review and appraisal of activities regarding dabigatran, (ii) development of guidance for key stakeholder groups through an iterative process, (iii) refining guidance following post launch studies. RESULTS: Plethora of activities to manage dabigatran including extensive pre-launch activities, risk sharing arrangements, prescribing restrictions and monitoring of prescribing post launch. Reimbursement has been denied in some countries due to concerns with its budget impact and/or excessive bleeding. Development of a new model and future guidance is proposed to better manage the entry of new drugs, centering on three pillars of pre-, peri-, and post-launch activities. Post-launch activities include increasing use of patient registries to monitor the safety and effectiveness of new drugs in clinical practice. CONCLUSION: Models for introducing new drugs are essential to optimize their prescribing especially where concerns. Without such models, new drugs may be withdrawn prematurely and/or struggle for funding.

Most common diseases diagnosed in primary care in Stockholm, Sweden, in 2011.

BACKGROUND: The most commonly reported diagnoses in primary care are useful to identify and meet health care needs in society. We estimated the rates of the most common diagnoses in primary health care in total and also by gender. METHODS: This was a cross-sectional study including all 2.0 million inhabitants living in Stockholm County, Sweden, on 1 January 2009. Data on all health care appointments made in primary care in 2011 and during 2009-11 were extracted from the Stockholm County Council data warehouse VAL (Vårdanalysdatabasen; Stockholm regional health care data warehouse). Primary care data were analysed by underlying population and age. Appropriate specialist open care and inpatient data were used for comparison. RESULTS: The five most common diagnoses in primary care (in 2011) were acute upper respiratory tract infections (6.0% of the population), essential hypertension (5.6%), coughing (2.6%), dorsalgia (2.6%) and acute tonsillitis (2.4%). Female-to-male ratios were higher for 27 of the 30 most common diagnoses, the exceptions being type 2 diabetes, unspecified types of diabetes and multiple wounds. CONCLUSIONS: The 30 most common diagnoses in primary care reflect the complexity of disorders cared for in the first line of health care. Knowledge of these patterns is important when aiming at using primary health care resources in a proper way.

Extraction of electronic health record data in a hospital setting: comparison of automatic and semi-automatic methods using anti-TNF therapy as model.

There is limited experience and methods for extractions of drug therapy data from electronic health records (EHR) in the hospital setting. We have therefore developed and evaluated completeness and consistency of an automatic versus a semi-automatic extraction procedure applied on prescribing and administration of the TNF inhibitor infliximab using a hospital EHR system in Karolinska University Hospital, Sweden. Using two different extraction methods (automatic and semi-automatic), all administered infusions of infliximab between 2007 and 2010 were extracted from a database linked to the EHR system. Extracted data included encrypted personal identity number (PIN), date of birth, sex, time of prescription/administration, healthcare units, prescribed/administered dose and time of admission/discharge. The primary diagnosis (ICD-10) for the treatment with infliximab was extracted by linking infliximab infusions to their corresponding treatment episode. A total of 13,590 infusions of infliximab were administered during the period of 2007 to 2010. Of those were 13,531 (99.6%) possible to link to a corresponding treatment episode, and a primary diagnosis was extracted for 13,530 infusions. Information on encrypted PIN, date of birth, time of prescription/administration, time of admission/discharge and healthcare unit was complete. Information about sex was missing in one patient only. Calculable information about dosage was extracted for 13,300 (98.3%) of all linked infusions. This methodological study showed the potential to extract drug therapy data in a hospital setting. The semi-automatic procedure produced an almost complete pattern of demographics, diagnoses and dosages for the treatment with infliximab.

A MiniReview of the use of hospital-based databases in observational inpatient studies of drugs.

The majority of pharmacoepidemiological data resources are based on data generated in primary health care. Although inpatient data resources have existed since the 1960s, inpatient pharmacoepidemiological studies are relatively scarce. The objectives of this MiniReview were to describe pharmacoepidemiological studies in hospital settings and the underlying databases to provide an overview of research questions addressed by such databases. The studies were retrieved by chain searching. We included pharmacoepidemiological studies in hospital settings containing data on inpatient drug use. Twelve inpatient databases in Asia, the United States and Europe were found. Most databases were automatically collected from claims data or generated from electronic medical records. The contents of the databases varied as well as the potential for linkage with other data sources such as laboratory and outpatient data. Twenty studies were selected and discussed to illustrate the diversity of inpatient pharmacoepidemiological studies. Hospital-based databases had mainly been used for drug utilization studies and research in adverse drug reactions. Five studies within comparative effectiveness were found. The number of pharmacoepidemiological studies in inpatient settings was low compared with studies from primary healthcare settings. These resources may be under-utilized.