ABSTRACT
Previous research suggests decreased immune function and increased risk of infections in individuals with insomnia. We examined the effect of insomnia symptoms on risk of bloodstream infections (BSIs) and BSI-related mortality in a population-based prospective study. A total of 53,536 participants in the second Norwegian Nord-Trøndelag Health Study (HUNT2) (1995-97) were linked to prospective data on clinically relevant BSIs until 2011. In Cox regression, we estimated hazard ratios (HRs) with 95% confidence intervals (CIs) for a first-time BSI and for BSI-related mortality (BSI registered ≤30 days prior to death) associated with insomnia symptoms. Compared with participants who reported "no symptoms", participants reporting having "difficulty initiating sleep" (DIS) often/almost every night had a HR for a first-time BSI of 1.14 (95% CI 0.96-1.34). Participants reporting "difficulties maintaining sleep" (DMS) often/almost every night had a HR of 1.19 (95% CI 1.01-1.40), whereas those having a feeling of "non-restorative sleep" once a week or more had a HR of 1.23 (95% CI 1.04-1.46). Participants frequently experiencing all three of the above symptoms had a HR of 1.39 (1.04-1.87), whilst those who had both DIS and DMS had a HR of 1.15 (0.93-1.41) and being troubled by insomnia symptoms to a degree that affected work performance was associated with a HR of 1.41 (95% CI 1.08-1.84). The HRs for BSI-related mortality suggest an increased risk with increasing insomnia symptoms, but the CIs are wide and inconclusive. We found that frequent insomnia symptoms and insomnia symptoms that affected work performance were associated with a weak positive increased risk of BSI.
Subject(s)
Sepsis , Sleep Initiation and Maintenance Disorders , Humans , Prospective Studies , Sleep Initiation and Maintenance Disorders/epidemiology , Norway/epidemiology , Risk FactorsABSTRACT
OBJECTIVE: Previous studies on thyroid function and risk of infection is conflicting and often stem from intensive care cohorts were nonthyroidal illness syndrome (NTIS) may be present. The objective of this study was to identify the risk of bloodstream infections (BSI) and BSI-related mortality with thyroid-stimulating hormone (TSH) levels within the reference range in a general population. DESIGN: Prospective follow-up. PARTICIPANTS: The HUNT2 (1995-97) included 34,619 participants with information on TSH levels. MEASUREMENTS: Hazard ratios (HRs) with 95% confidence interval (CI) confirmed BSIs and BSI-related mortality until 2011. RESULTS: During a median follow-up of 14.5 years, 1179 experienced at least one episode of BSI and 208 died within 30 days after a BSI. TSH levels within the reference range of 0.5-4.5 mU/L were not associated with the risk of first-time BSI, with an HR of 0.97 (95% CI: 0.90-1.04) per mU/L. Stratified by baseline age < or ≥65 years, TSH was inversely associated with the risk of BSI (HR: 0.88; 95% CI: 0.78-1.00 per mU/L) in the youngest age group only. Persons with any baseline thyroid disease had a 30% risk and the hyperthyroid subgroup a 57%, and hypothyroidism a 20% increased risk of BSI. TSH levels were not clearly associated with BSI mortality, but the HRs were imprecise due to few BSI-related deaths. CONCLUSION: There was some evidence of a weak inverse association between TSH levels and the risk of BSI in persons below 65 years of age. The increased risk seen in persons with thyroid illness is probably explained by confounding by concurrent ill health.
Subject(s)
Hypothyroidism , Sepsis , Aged , Humans , Hypothyroidism/complications , Prospective Studies , Sepsis/complications , ThyrotropinABSTRACT
BACKGROUND: In observational studies of the general population, higher body mass index (BMI) has been associated with increased incidence of and mortality from bloodstream infection (BSI) and sepsis. On the other hand, higher BMI has been observed to be apparently protective among patients with infection and sepsis. We aimed to evaluate the causal association of BMI with risk of and mortality from BSI. METHODS AND FINDINGS: We used a population-based cohort in Norway followed from 1995 to 2017 (the Trøndelag Health Study [HUNT]), and carried out linear and nonlinear Mendelian randomization analyses. Among 55,908 participants, the mean age at enrollment was 48.3 years, 26,324 (47.1%) were men, and mean BMI was 26.3 kg/m2. During a median 21 years of follow-up, 2,547 (4.6%) participants experienced a BSI, and 451 (0.8%) died from BSI. Compared with a genetically predicted BMI of 25 kg/m2, a genetically predicted BMI of 30 kg/m2 was associated with a hazard ratio for BSI incidence of 1.78 (95% CI: 1.40 to 2.27; p < 0.001) and for BSI mortality of 2.56 (95% CI: 1.31 to 4.99; p = 0.006) in the general population, and a hazard ratio for BSI mortality of 2.34 (95% CI: 1.11 to 4.94; p = 0.025) in an inverse-probability-weighted analysis of patients with BSI. Limitations of this study include a risk of pleiotropic effects that may affect causal inference, and that only participants of European ancestry were considered. CONCLUSIONS: Supportive of a causal relationship, genetically predicted BMI was positively associated with BSI incidence and mortality in this cohort. Our findings contradict the "obesity paradox," where previous traditional epidemiological studies have found increased BMI to be apparently protective in terms of mortality for patients with BSI or sepsis.
Subject(s)
Body Mass Index , Obesity/epidemiology , Sepsis/epidemiology , Sepsis/mortality , Adult , Cohort Studies , Female , Humans , Male , Mendelian Randomization Analysis , Middle Aged , Norway/epidemiology , Proportional Hazards Models , Risk FactorsABSTRACT
Importance: Insomnia has been associated with altered inflammatory response as well as increased risk of infections and sepsis in observational studies. However, these studies are prone to bias, such as residual confounding. To further understand the potential causal association between insomnia and sepsis risk, a 2-sample Mendelian randomization (MR) approach should be explored. Objective: To evaluate whether genetically predicted insomnia is associated with risk of sepsis. Design, Setting, and Participants: Two-sample MR was performed to estimate the association between genetically predicted insomnia and sepsis risk. Data were obtained from a genome-wide association study identifying 555 independent genetic variants (R2 < 0.01) strongly associated with insomnia (P < 5 × 10-8). Sensitivity analyses were conducted to address bias due to pleiotropy and sample overlap, along with mediation analyses and sex-stratified analyses. The insomnia data set included 2.4 million individuals of European ancestry from the UK Biobank and 23andMe. For sepsis, 462â¯918 individuals of European ancestry from the UK Biobank were included. Data were extracted between February and December 2022 and analyzed between March 2022 and March 2023. Exposure: Genetically predicted insomnia. Main Outcome and Measure: Sepsis. Results: There were 593â¯724 individuals with insomnia and 10â¯154 cases of sepsis. A doubling in the population prevalence of genetically predicted insomnia was associated with an odds ratio of 1.37 (95% CI, 1.19-1.57; P = 7.6 × 10-6) for sepsis. Sensitivity analyses supported this observation. One-third of the association between genetically predicted insomnia and risk of sepsis was mediated through a combination of cardiometabolic risk factors for sepsis (body mass index, type 2 diabetes, smoking, or cardiovascular disease; overall proportion, 35.2%; 95% CI, 5.1-76.9). The association between insomnia and sepsis was more pronounced among women compared with men (women: odds ratio, 1.44; 95% CI, 1.24-1.68; men: OR, 1.10; 95% CI, 0.86-1.40). Conclusions and Relevance: The concordance between these findings and previous observational studies supports that insomnia is potentially causally associated with the risk of sepsis. Thus, insomnia is a potential preventable risk factor of sepsis that should be further investigated, also in non-European populations.
Subject(s)
Diabetes Mellitus, Type 2 , Sepsis , Sleep Initiation and Maintenance Disorders , Male , Humans , Female , Sleep Initiation and Maintenance Disorders/epidemiology , Sleep Initiation and Maintenance Disorders/genetics , Genome-Wide Association Study , Mendelian Randomization Analysis , Sepsis/epidemiology , Sepsis/genetics , Polymorphism, Single Nucleotide/geneticsABSTRACT
Observational studies have indicated an association between iron status and risk of sepsis and COVID-19. We estimated the effect of genetically-predicted iron biomarkers on risk of sepsis and risk of being hospitalized with COVID-19, performing a two-sample Mendelian randomization study. For risk of sepsis, one standard deviation increase in genetically-predicted serum iron was associated with odds ratio (OR) of 1.14 (95% confidence interval [CI] 1.01-1.29, P = 0.031). The findings were supported in the analyses for transferrin saturation and total iron binding capacity, while the estimate for ferritin was inconclusive. We found a tendency of higher risk of hospitalization with COVID-19 for serum iron; OR 1.29 (CI 0.97-1.72, P = 0.08), whereas sex-stratified analyses showed OR 1.63 (CI 0.94-2.86, P = 0.09) for women and OR 1.21 (CI 0.92-1.62, P = 0.17) for men. Sensitivity analyses supported the main findings and did not suggest bias due to pleiotropy. Our findings suggest a causal effect of genetically-predicted higher iron status and risk of hospitalization due to sepsis and indications of an increased risk of being hospitalized with COVID-19. These findings warrant further studies to assess iron status in relation to severe infections, including the potential of improved management.
Subject(s)
COVID-19 , Sepsis , Biomarkers , COVID-19/genetics , Female , Ferritins , Genome-Wide Association Study , Humans , Iron/metabolism , Male , Mendelian Randomization Analysis , Polymorphism, Single Nucleotide , Sepsis/genetics , Transferrin/metabolismABSTRACT
Previous studies indicate sex differences in incidence and severity of bloodstream infections (BSI). We examined the effect of sex on risk of BSI, BSI mortality, and BSI caused by the most common infecting bacteria. Using causal mediation analyses, we assessed if this effect is mediated by health behaviours (smoking, alcohol consumption), education, cardiovascular risk factors (systolic blood pressure, non-HDL cholesterol, body mass index) and selected comorbidities. This prospective study included 64,040 participants (46.8% men) in the population-based HUNT2 Survey (1995-1997) linked with hospital records in incident BSI. During median follow-up of 15.2 years, 1840 (2.9%) participants (51.3% men) experienced a BSI and 396 (0.6%) died (56.6% men). Men had 41% higher risk of first-time BSI (95% confidence interval (CI), 28-54%) than women. Together, health behaviours, education, cardiovascular risk factors and comorbidities mediated 34% of the excess risk of BSI observed in men. The HR of BSI mortality was 1.87 (95% CI 1.53-2.28), for BSI due to S. aureus 2.09 (1.28-2.54), S. pneumoniae 1.36 (1.05-1.76), E. coli 0.97 (0.84-1.13) in men vs women. This study shows that men have higher risk of BSI and BSI mortality than women. One-third of this effect was mediated by potential modifiable risk factors for incident BSI.
Subject(s)
Bacteremia , Sepsis , Bacteremia/microbiology , Escherichia coli , Female , Humans , Male , Mediation Analysis , Prospective Studies , Retrospective Studies , Risk Factors , Sepsis/epidemiology , Sex Characteristics , Staphylococcus aureus , Streptococcus pneumoniaeABSTRACT
BACKGROUND: Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia. Anxiety and depression may activate the autonomic nervous system which is likely to play an important role in the etiology of AF. However, little is known about the association between symptoms of anxiety and depression and risk of AF. OBJECTIVE: This study aimed to assess the association between symptoms of anxiety and depression and risk of AF. METHODS: In a population-based study, 37,402 adult residents were followed for incident AF from 2006 to 2008 until 2015. Participants were classified according to data on anxiety and depression symptoms. Cox proportional regression models were used to adjust for common AF risk factors. RESULTS: During a median follow-up of 8.1 years, 1433 (3.8%) participants developed AF. In comparisons with no anxiety symptoms, the multivariable-adjusted hazard ratios (HRs) were 1.1 (95% CI: 0.9-1.5) for mild to moderate anxiety symptoms and 1.0 (95% CI: 0.8-1.4) for severe anxiety symptoms. In comparisons with no depression symptoms, the multivariable-adjusted HRs were 1.5 (95% CI: 1.2-1.8) for mild to moderate depression symptoms and 0.9 (95% CI: 0.6-1.3) for severe depression symptoms. Recurrent anxiety/depression symptoms were not associated with increased AF risk. CONCLUSIONS: In this large, population-based study, we found no evidence of an association between symptoms of anxiety or severe depression and AF risk, even for recurrent anxiety or depression symptoms. An unexpected association of symptoms of mild to moderate depression with increased AF risk requires confirmation in other studies. Our findings add to the sparse literature on symptoms of anxiety and depression and risk of AF.
Subject(s)
Atrial Fibrillation , Adult , Anxiety/diagnosis , Anxiety/epidemiology , Anxiety Disorders , Atrial Fibrillation/diagnosis , Atrial Fibrillation/epidemiology , Depression/diagnosis , Depression/epidemiology , Humans , Risk FactorsABSTRACT
BACKGROUND: We aimed to evaluate the clinical usefulness of qSOFA as a risk stratification tool for patients admitted with infection compared to traditional SIRS criteria or our triage system; the Rapid Emergency Triage and Treatment System (RETTS). METHODS: The study was an observational cohort study performed at one Emergency Department (ED) in an urban university teaching hospital in Norway, with approximately 20,000 visits per year. All patients >16 years presenting with symptoms or clinical signs suggesting an infection (n = 1535) were prospectively included in the study from January 1 to December 31, 2012. At arrival in the ED, vital signs were recorded and all patients were triaged according to RETTS vital signs, presenting infection, and sepsis symptoms. These admission data were also used to calculate qSOFA and SIRS. Treatment outcome was later retrieved from the patients' electronic records (EPR) and mortality data from the Norwegian population registry. RESULTS: Of the 1535 admitted patients, 108 (7.0%) fulfilled the Sepsis2 criteria for severe sepsis. The qSOFA score ≥2 identified only 33 (sensitivity 0.32, specificity 0.98) of the patients with severe sepsis, whilst the RETTS-alert ≥ orange identified 92 patients (sensitivity 0.85, specificity 0.55). Twenty-six patients died within 7 days of admission; four (15.4%) of them had a qSOFA ≥2, and 16 (61.5%) had RETTS ≥ orange alert. Of the 68 patients that died within 30 days, only eight (11.9%) scored ≥2 on the qSOFA, and 45 (66.1%) had a RETTS ≥ orange alert. DISCUSSION: In order to achieve timely treatment for sepsis, a sensitive screening tool is more important than a specific one. Our study is the fourth study were qSOFA finds few of the sepsis cases in prehospital or at arrival to the ED. We add information on the RETTS triage system, the two highest acuity levels together had a high sensitivity (85%) for identifying sepsis at arrival to the ED - and thus, RETTS should not be replaced by qSOFA as a screening and trigger tool for sepsis at arrival. CONCLUSION: In this observational cohort study, qSOFA failed to identify two thirds of the patients admitted to an ED with severe sepsis. Further, qSOFA failed to be a risk stratification tool as the sensitivity to predict 7-day and 30-day mortality was low. The sensitivity was poorer than the other warning scores already in use at the study site, RETTS-triage and the SIRS criteria.
Subject(s)
Infections/diagnosis , Sepsis/diagnosis , Triage , Adult , Aged , Aged, 80 and over , Emergency Service, Hospital/statistics & numerical data , Female , Hospital Mortality , Hospitalization/statistics & numerical data , Hospitals, University/statistics & numerical data , Humans , Infections/mortality , Male , Mass Screening , Middle Aged , Norway/epidemiology , Prognosis , Prospective Studies , Risk Assessment , Sepsis/mortality , Severity of Illness Index , Systemic Inflammatory Response Syndrome/diagnosis , Systemic Inflammatory Response Syndrome/mortality , Triage/statistics & numerical data , Urban PopulationABSTRACT
OBJECTIVES: We aimed to study whether patient-reported outcomes, measured by quality of life (QoL) and functional class, are sensitive to pleural effusion (PLE) in patients with heart failure (HF), and to study changes in QoL and functional class during follow-up of PLE. METHODS: A cohort of 62 patients from an outpatient HF clinic was included. The amount of PLE was quantified using a pocket-sized ultrasound imaging device. Self-reports of QoL and functional class were collected using the Minnesota Living with Heart Failure Questionnaire (MLHFQ) and the New York Heart Association (NYHA) functional classification. RESULTS: At baseline, 26 (42%) patients had PLE of which 19 (31%) patients had moderate to severe amounts of PLE. Patients with no to mild PLE had a lower MLHFQ score (mean 42, SD 21) compared with patients with a moderate to severe amount of PLE (mean 55, SD 24), p=0.03. For 28 patients (45%) with follow-up data, we observed a linear improvement of the MLHFQ-score (3.2, 95% CI 1.2 to 5.1) with each centimetre reduction of PLE. Correspondingly, patient-reported NYHA-class followed the same pattern as the MLHFQ-score. CONCLUSIONS: Our study indicates that patient-reported outcome measures as MLHFQ may be sensitive tools to identify patients with HF at highest risk of symptomatic PLE and that treatment targeting reduction of PLE during follow-up is essential to improvement of QoL and functional capacity of outpatients with HF. TRIAL REGISTRATION NUMBER: NCT01794715; Results.
Subject(s)
Heart Failure/therapy , Outpatients/psychology , Patient Reported Outcome Measures , Pleural Effusion/therapy , Quality of Life/psychology , Adrenergic beta-Antagonists/therapeutic use , Adult , Aged , Aged, 80 and over , Angiotensin-Converting Enzyme Inhibitors/therapeutic use , Cohort Studies , Diuretics/therapeutic use , Female , Follow-Up Studies , Heart Failure/complications , Heart Failure/psychology , Humans , Male , Middle Aged , Norway , Outpatients/statistics & numerical data , Pleural Effusion/etiology , Pleural Effusion/psychology , Prospective Studies , Surveys and QuestionnairesABSTRACT
Intensive Care Unit (ICU) patients are often not able to respond to long self-report instruments, therefore, in order to assess anxiety accurately, a short and easy to use measure is required. The Faces Anxiety Scale (FAS) developed by McKinley et al. [McKinley S, Coote K, Stein-Parbury J. Development and testing of a faces scale for the assessment of anxiety in critically ill patients. J Adv Nurs 2003;41(1):73-9.] has promised to be such an instrument. This study assessed the construct validity of the FAS against the well validated anxiety subscale of the Hospital Anxiety and Depression Scale (HADS), in an ICU population ready for transfer to the ward. The study was a part of a larger study of transfer anxiety. The FAS showed good correlation with the anxiety sub-scale of the HADS which strengthened over time. The FAS was easy and quick to use and seemed to measure anxiety in ICU patients that were ready to move to the wards, however, further testing in a larger sample and with sicker ICU patients is required.
Subject(s)
Anxiety/diagnosis , Critical Illness/psychology , Facial Expression , Patient Transfer , Psychiatric Status Rating Scales/standards , Adolescent , Adult , Aged , Aged, 80 and over , Anxiety/classification , Anxiety/etiology , Anxiety/psychology , Female , Hospitals, Teaching , Humans , Longitudinal Studies , Male , Middle Aged , Nursing Assessment/methods , Nursing Assessment/standards , Nursing Evaluation Research , Psychometrics , Queensland , Severity of Illness Index , Statistics, Nonparametric , Surveys and Questionnaires/standardsABSTRACT
AIMS: Symptoms of anxiety and depression often co-exist with cardiovascular disease, yet little is known about the prospective risk for heart failure (HF) in people with symptoms of depression and anxiety. We aimed to study these prospective associations using self-reported symptoms of anxiety, depression, and mixed symptoms of anxiety and depression (MSAD) in a large population sample. METHODS AND RESULTS: In the second wave of the Nord-Trøndelag Health Study (HUNT 2, 1995-1997), Norway, baseline data on symptoms of anxiety and depression, socio-demographic variables, health status including cardiovascular risk factors, and common chronic somatic diseases were registered for 62,567 adults, men and women, free of known HF. The cohort was followed for incident HF from baseline throughout 2008. A total of 1499 cases of HF occurred during a mean follow-up of 11.3 years (SD = 2.9), identified either in hospital registers or by the National Cause of Death Registry. There was no excess risk for future HF associated with symptoms of anxiety or MSAD at baseline. For depression, the multi-adjusted hazard ratios for HF were 1.07 (0.87-1.30) for moderate symptoms and 1.41 (1.07-1.87) for severe symptoms (P for trend 0.026). Established cardiovascular risk factors, acute myocardial infarction (AMI) prior to baseline, and adjustment for incident AMI as a time-dependent covariate during follow-up had little influence on the estimates. CONCLUSION: Symptoms of depression, but not symptoms of anxiety or MSAD, were associated with increased risk for HF in a dose-response manner. The increased risk could not be fully explained by cardiovascular or socio-economic risk factors, or by co-morbid AMI.