Impact of positive chest X-ray findings and blood cultures on adverse outcomes following hospitalized pneumococcal lower respiratory tract infection: a population-based cohort study.

BACKGROUND: Little is known about the clinical presentation and outcome of pneumococcal lower respiratory tract infection (LRTI) without positive chest X-ray findings and blood cultures. We investigated the prognostic impact of a pulmonary infiltrate and bacteraemia on the clinical course of hospitalized patients with confirmed pneumococcal LRTI. METHODS: We studied a population-based multi-centre cohort of 705 adults hospitalized with LRTI and Streptococcus pneumoniae in LRT specimens or blood: 193 without pulmonary infiltrate or bacteraemia, 250 with X-ray confirmed pneumonia, and 262 with bacteraemia. We compared adverse outcomes in the three groups and used multiple regression analyses to adjust for differences in age, sex, comorbidity, and lifestyle factors. RESULTS: Patients with no infiltrate and no bacteraemia were of similar age but had more comorbidity than the other groups (Charlson index score ≥1: no infiltrate and no bacteraemia 81% vs. infiltrate without bacteraemia 72% vs. bacteraemia 61%), smoked more tobacco, and had more respiratory symptoms. In contrast, patients with a pulmonary infiltrate or bacteraemia had more inflammation (median C-reactive protein: no infiltrate and no bacteraemia 82 mg/L vs. infiltrate without bacteraemia 163 mg/L vs. bacteraemia 316 mg/L) and higher acute disease severity scores. All adverse outcomes increased from patients with no infiltrate and no bacteraemia to those with an infiltrate and to those with bacteraemia: Length of hospital stay (5 vs. 6 vs. 8 days); intensive care admission (7% vs. 20% vs. 23%); pulmonary complications (1% vs. 5% vs. 14%); and 30-day mortality (5% vs. 11% vs. 21%). Compared with patients with no infiltrate and no bacteraemia, the adjusted 30-day mortality rate ratio was 1.9 (95% confidence interval (CI) 0.9-4.1) in patients with an infiltrate without bacteraemia and 4.1 (95% CI 2.0-8.5) in bacteraemia patients. Adjustment for acute disease severity and inflammatory markers weakened these associations. CONCLUSIONS: Hospitalization with confirmed pneumococcal LRTI is associated with substantial morbidity and mortality even without positive chest X-ray findings and blood cultures. Still, there is a clinically important outcome gradient from LRTI patients with pneumococcal isolation only to those with detected pulmonary infiltrate or bacteraemia which is partly mediated by higher acute disease severity and inflammation.

Nationwide trends in pneumonia hospitalization rates and mortality, Denmark 1997-2011.

OBJECTIVE: To provide up-to-date population-based data on nationwide trends in pneumonia hospitalization rates and associated 30-day mortality. METHODS: Using medical databases we identified all in-hospital episodes of pneumonia between 1997 and 2011. We computed age- and sex-standardized hospitalization rates of total and first-time pneumonia-related hospitalization and adjusted 30-day mortality rates by calendar year. RESULTS: Among 552,528 pneumonia-related hospitalizations in Denmark between 1997 and 2011, 385,985 (69.9%) were first-time events. Total pneumonia hospitalizations increased by 63%, from 4.96 per 1000 population in 1997 to 8.09 in 2011. Rates of first-time pneumonia per 1000 population increased by 33%, from 3.99 in 1997 to 5.31 in 2011. Pneumonia rates stabilized in the mid-00s but primary pneumonia rates increased 16% from 2008 to 2011, most notably among children and young adults. In patients aged ≥80 years the rate of hospitalizations with secondary pneumonia more than doubled during the study period. Average 30-day mortality remained stable at 13%, but increased slightly over time in patients aged ≥80 years. CONCLUSIONS: In an era of smoking cessation and vaccination efforts, pneumonia hospitalization rates are continuously increasing, largely driven by secondary diagnoses and recurrent pneumonia episodes in elderly patients. Thirty-day mortality remains persistently high.

Risk of miscarriage among users of corticosteroid hormones: a population-based nested case-control study.

BACKGROUND: The purpose of this nested case-control study in Denmark was to study the association between use of corticosteroids and risk of miscarriage. METHODS: We identified prescriptions for corticosteroids before the miscarriage/index date. We estimated odds ratios (ORs) for miscarriage and for early (<13 weeks) and late (13-21 weeks) miscarriage adjusting for age, history of diabetes and epilepsy, and nonsteroidal anti-inflammatory drug use. RESULTS: We identified 10,974 women with miscarriage and 109,740 controls. Prevalence of inhaled corticosteroid use within 60 days before the index date was 1.3% among the cases and 1.0% among the controls (OR = 1.20; 95% confidence interval [CI] 1.01-1.44). Prevalence of oral corticosteroid use within 60 days before the index date was 0.3% for both cases and controls (OR = 0.78; 95% CI 0.53-1.15). For inhaled and oral corticosteroids, the ORs of early miscarriage were 1.22 (95% CI 1.01-1.49) and 0.81 (95% CI 0.55-1.20), respectively. CONCLUSION: Use of inhaled corticosteroids was associated with a slightly increased risk of early miscarriage, but explanations alternative to causal ones were possible.

Validity of the coding for intensive care admission, mechanical ventilation, and acute dialysis in the Danish National Patient Registry: a short report.

BACKGROUND: Large health care databases provide a cost-effective data source for observational research in the intensive care unit (ICU) if the coding is valid. The aim of this study was to investigate the accuracy of the recorded coding of ICU admission, mechanical ventilation, and acute dialysis in the population-based Danish National Patient Registry (DNPR). METHODS: We conducted the study in the North Denmark Region, including seven ICUs. From the DNPR we selected a total of 150 patients with an ICU admission by the following criteria: (1) 50 patients randomly selected among all patients registered with an ICU admission code, (2) 50 patients with an ICU admission code and a concomitant code for mechanical ventilation, and (3) 50 patients with an ICU admission code and a concomitant code for acute dialysis. Using the medical records as gold standard we estimated the positive predictive value (PPV) for each of the three procedure codes. RESULTS: We located 147 (98%) of the 150 medical records. Of these 147 patients, 141 (95.9%; 95% confidence interval [CI]: 91.8-98.3) had a confirmed ICU admission according to their medical records. Among patients, who were selected only on the coding for ICU admission, the PPV for ICU admission was 87.2% (95% CI: 75.6-94.5). For the mechanical ventilation code, the PPV was 100% (95% CI: 95.1-100). Forty-nine of 50 patients with the coding for acute dialysis received this treatment, corresponding to a PPV of 98.0% (95% CI: 91.0-99.8). CONCLUSION: We found a high PPV for the coding of ICU admission and even higher PPVs for mechanical ventilation, and acute dialysis in the DNPR. The DNPR is a valuable data source for observational studies of ICU patients.

Lifestyle factors among proton pump inhibitor users and nonusers: a cross-sectional study in a population-based setting.

PURPOSE: Lifestyle factors may influence observed associations between proton pump inhibitor (PPI) usage and health outcomes. The aim of the study reported here was to examine characteristics and differences in lifestyle among PPI users and nonusers. METHODS: This cross-sectional study utilized data from a 2006 population-based health survey of 21,637 persons in the Central Danish Region. All persons using prescribed PPIs were identified through linkage to a population-based prescription database. Biometric measures and prevalence of smoking, excessive alcohol consumption, diet, and physical exercise were analyzed, comparing PPI users with nonusers. RESULTS: Among 10,129 (46.8%) male and 11,508 (53.2%) female survey respondents, 1,356 (13.4%) males and 1,691 (14.7%) females reported ever use of PPIs. PPI users were more obese (16.7%) than nonusers (13.1%), with an age- and sex-standardized prevalence ratio (PR) of 1.3 (95% confidence interval [CI]: 1.2-1.4). The prevalence of smokers was also higher in the PPI group (26.2% vs 22.3% [PR =1.2, 95% CI: 1.1-1.3]), as was the prevalence of ex-smokers (41.0% vs 32.0% [PR =1.2, 95% CI: 1.1-1.2]). Unhealthy diet was slightly more common among PPI users than among nonusers (15.4% vs 13.0%), with a PR of 1.2 (95% CI: 1.1-1.3). Physical exercise level and alcohol consumption were similar in the two groups. Hospital-diagnosed comorbidity was observed in 35% of PPI users (a Charlson Comorbidity Index score of 1 or more) compared with only 15% among nonusers. CONCLUSION: PPI users are more obese, smoke more, and have significantly more comorbidities than PPI nonusers. These data are important when evaluating unmeasured confounding in observational studies of PPI effects.

Use of selective serotonin-reuptake inhibitors during early pregnancy and risk of congenital malformations: updated analysis.

BACKGROUND: Data on the safety of selective serotonin-reuptake inhibitors (SSRIs) in pregnancy are inconsistent. We examined associations between SSRI use during early pregnancy and risk of congenital malformations in infants. METHODS: Set in Northern Denmark, our population-based prevalence study included 216,042 women who had a live birth after the 20th week of gestation. We compared the prevalence of malformation in infants born to women who redeemed at least one SSRI prescription during early pregnancy with the prevalence in infants born to women who redeemed no SSRI prescriptions during their pregnancies. Drug use data were extracted from prescription databases, while data on congenital malformations were obtained from the National Registry of Patients. RESULTS: The 2,062 women with SSRI prescriptions during early pregnancy gave birth to 105 (5.1%) infants with malformations, while the 213,712 women with no SSRI prescriptions gave birth to 7,449 (3.5%) infants with malformations. SSRI use was associated with an increased risk of malformations overall (odds ratio [OR] = 1.3; 95% confidence interval (CI): 1.1-1.6) and cardiac malformations (OR = 1.7; 95% CI: 1.1-2.5). For specific SSRIs, we found an increased risk for septal defects associated with sertraline. CONCLUSIONS: We found little overall association between use of SSRIs during pregnancy and congenital malformations, but our findings suggest an association between maternal SSRI use in early pregnancy and cardiac malformations which could be causal.