Temporal changes in incidence of hospital-diagnosed acute pyelonephritis: A 19-year population-based Danish cohort study

Objectives: To examine temporal changes in the incidence of hospital-diagnosed acute pyelonephritis (APN) and characterize associated demographics. Methods: Cohort study including Danish patients with hospital-diagnosed APN during 2000-2018, identified by International Classification of Diseases, 10th Revision codes. Annual sex- and age-standardized incidence rates per 10,000 person years with 95% confidence intervals (CIs) were stratified by sex, age group, diagnosis code, and region of residence. Incidence rates for selected urinary tract infections and sepsis diagnoses were also computed. Results: We included 66,937 hospital-diagnosed APN episodes in 57,162 patients. From 2000 to 2018, the incidence increased from 6.8 (95% CI: 6.8-6.8) to 15.4 (95% CI: 15.4-15.4) in women and from 2.7 (95% CI: 2.7-2.7) to 4.5 (95% CI: 4.5-4.5) in men. Among infants, the rate rose from 7.4 (95% CI: 7.4-7.4) to 64.8 (95% CI: 64.7-64.9) in girls and from 17.1 (95% CI: 17.1-17.2) to 52.5 (95% CI: 52.4-52.6) in boys. Concomitant declines were observed in incidences of hospital-diagnosed unspecified urinary tract infections and sepsis. Conclusion: The APN incidence roughly doubled during 2000-2018. The increase was largely driven by a prominently increasing incidence among young children which was not explained by the enlarging prevalence of congenital anomalies of the kidney and urinary tract.</p

Vascular diseases in patients with chronic myeloproliferative neoplasms:Impact of comorbidity

Background: Patients with chronic myeloproliferative neoplasms (MPNs), including essential thrombocythemia (ET), polycythemia vera (PV), and primary myelofibrosis (PMF), are at high risk of vascular complications. However, the magnitude of this is risk not well known and the possible effect of comorbidity is poorly understood. Aim: Our aim was to compare the risk of vascular diseases in patients with MPNs and matched comparisons from the general population and to study the effect modification of comorbidity. Methods: We followed 3087 patients with ET, 6076 with PV, 3719 with PMF or unspecified MPN, and age- and sex-matched general population comparisons to estimate the risks of cardiovascular diseases such as myocardial infarction and stroke. We computed 5-year cumulative incidences (risks) for vascular disease in patients with MPNs and comparisons as well as 1-year and 5-year risks, risk differences, and hazard ratios (HRs) for vascular diseases comparing rates in each group of patients with their comparison cohort by level of comorbidity based on the Charlson Comorbidity Index (CCI) [score of 0 (low comorbidity), of 1–2 (moderate comorbidity), and of >2 (severe comorbidity)], as well as other comorbid conditions. Results: The overall 5-year risk of vascular disease ranged from 0.5% to 7.7% in patients with MPNs, which was higher than the risk in the general population. In the same period, the adjusted HRs for vascular disease were 1.3 to 3.7 folds higher in patients with MPNs compared to the general population. An increase in CCI score was associated with an equally increased rate of most types of vascular diseases during the first 5 years of follow-up in both MPN and comparisons. Conclusion: Patients with MPNs have a higher risk of vascular diseases during the first 5 years than that of the general population; however, comorbidity modifies the rates similarly in MPN and in the general population

Comparison of Patients with Hospital-Recorded Nephrotic Syndrome and Patients with Nephrotic Proteinuria and Hypoalbuminemia:A Nationwide Study in Denmark

BACKGROUND: Registry-based studies of nephrotic syndrome (NS) may only include a subset of patients with biochemical features of NS. To address this, we compared patients with laboratory-recorded nephrotic proteinuria and hypoalbuminemia to patients with hospital-recorded NS. METHODS: We identified adult patients with first-time hospital-recorded NS (inpatients, outpatients, or emergency-room visitors) in the Danish National Patient Registry and compared them with adults with first-time recorded nephrotic proteinuria and hypoalbuminemia in Danish laboratory databases during 2004–2018, defining the date of admission or laboratory findings as the index date. We characterized these cohorts by demographics, comorbidity, medication use, and laboratory and histopathologic findings. RESULTS: We identified 1139 patients with hospital-recorded NS and 5268 patients with nephrotic proteinuria and hypoalbuminemia; of these, 760 patients were identified in both cohorts. Within 1 year of the first record of nephrotic proteinuria and hypoalbuminemia, 18% had recorded hospital diagnoses indicating the presence of NS, and 87% had diagnoses reflecting any kind of nephropathy. Among patients identified with nephrotic proteinuria and hypoalbuminemia, their most recent eGFR was substantially lower (median of 35 versus 61 ml/min per 1.73 m(2)), fewer underwent kidney biopsies around the index date (34% versus 61%), and the prevalence of thromboembolic disease (25% versus 17%) and diabetes (39% versus 18%) was higher when compared with patients with hospital-recorded NS. CONCLUSIONS: Patients with nephrotic proteinuria and hypoalbuminemia are five-fold more common than patients with hospital-recorded NS, and they have a lower eGFR and more comorbidities. Selective and incomplete recording of NS may be an important issue when designing and interpreting studies of risks and prognosis of NS

Preadmission kidney function and risk of acute kidney injury in patients hospitalized with acute pyelonephritis: A Danish population-based cohort study.

BACKGROUND AND OBJECTIVES: Only few smaller studies have examined if impaired kidney function increases the risk of acute kidney injury in patients with acute pyelonephritis. Therefore, we estimated 30-day risk of acute kidney injury by preadmission kidney function in patients with acute pyelonephritis. Furthermore, we examined if impaired kidney function was a risk factor for development of acute kidney injury in pyelonephritis patients. METHODS: This cohort study included patients with a first-time hospitalization with pyelonephritis from 2000 to 2017. Preadmission kidney function (estimated glomerular filtration rate (eGFR) <30, 30-44, 45-59, 60-89, and ?90 ml/min/1.73 m2) and acute kidney injury within 30 days after admission were assessed using laboratory data on serum creatinine. The absolute 30-days risk of acute kidney injury was assessed treating death as a competing risk. The impact of eGFR on the odds of acute kidney injury was compared by odds ratios (ORs) with 95% confidence intervals estimated using logistic regression adjusted for potential confounding factors. RESULTS: Among 8,760 patients with available data on preadmission kidney function, 25.8% had a preadmission eGFR <60. The 30-day risk of acute kidney injury was 16% among patients with preadmission eGFR ?90 and increased to 22%, 33%, 42%, and 47% for patients with preadmission eGFR of 60-89, 45-59, 30-44, and <30 respectively. Compared with eGFR?90, the adjusted ORs for the subgroups with eGFR 60-89, 45-59, 30-45, and <30 were 0.95, 1.32, 1.78, and 2.19 respectively. CONCLUSION: Acute kidney injury is a common complication in patients hospitalized with acute pyelonephritis. Preadmission impaired kidney function is a strong risk factor for development of acute kidney injury in pyelonephritis patients and more attention should be raised in prevention of pyelonephritis in patients with a low kidney function

Diagnosis and mortality in prehospital emergency patients transported to hospital:a population-based and registry-based cohort study

OBJECTIVE: Knowledge about patients after calling for an ambulance is limited to subgroups, such as patients with cardiac arrest, myocardial infarction, trauma and stroke, while population-based studies including all diagnoses are few. We examined the diagnostic pattern and mortality among all patients brought to hospital by ambulance after emergency calls. DESIGN: Registry-based cohort study. SETTING AND PARTICIPANTS: We included patients brought to hospital in an ambulance dispatched after emergency calls during 2007–2014 in the North Denmark Region (580 000 inhabitants). We reported hospital diagnosis according to the chapters of the International Classification of Diseases, 10th Edition (ICD-10), and studied death on days 1 and 30 after the call. Cohort characteristics and diagnoses were described, and the Kaplan-Meier method was used to estimate mortality and 95% CIs. RESULTS: In total, 148 757 patients were included, mean age 52.9 (SD 24.3) years. The most frequent ICD-10 diagnosis chapters were: ‘injury and poisoning’ (30.0%), and the 2 non-specific diagnosis chapters: ‘symptoms and abnormal findings, not elsewhere classified’ (17.5%) and ‘factors influencing health status and contact with health services’ (14.1%), followed by ‘diseases of the circulatory system’ (10.6%) and ‘diseases of the respiratory system’ (6.7%). The overall 1-day mortality was 1.8% (CI 1.7% to 1.8%) and 30-day mortality 4.7% (CI 4.6% to 4.8%). ‘Diseases of the circulatory system’ had the highest 1-day mortality of 7.7% (CI 7.3% to 8.1%) accounting for 1209 deaths. After 30 days, the highest number of deaths were among circulatory diseases (2313), respiratory diseases (1148), ‘symptoms and abnormal findings, not elsewhere classified’ (1119) and ‘injury and poisoning’ (741), and 30 days mortality in percentage was 14.7%, 11.6%, 4.3% and 1.7%, respectively. CONCLUSIONS: Patients' diagnoses from hospital stay after calling 1-1-2 in this population-based study were distributed across all ICD-10 chapters. Mortality varied widely between diagnostic groups. Non-specific diagnoses accounted for one-third of the patients and contributed to mortality in terms of total number of deaths

Predicting the risks of kidney failure and death in adults with moderate to severe chronic kidney disease : multinational, longitudinal, population based, cohort study

Acknowledgments We thank the interdisciplinary chronic disease collaboration, the Grampian data safe haven team, and the Danish health data authority team for their administrative support and facilitating the access to the data sources. We thank the nephrology research group patient and family engagement advisory committee, University of Calgary, for their feedback on relevant prediction time horizons and how to visualise both risk predictions simultaneously (eg, KDpredict app and fig 4). We also thank Josè Aponte for his support in developing the KDpredict application.Peer reviewe