Influenza-Associated Outcomes and Healthcare Utilization by Race and Ethnicity in the USA: a Retrospective Cohort Study Using the National Inpatient Sample Database.

BACKGROUND: The influenza virus continues to be a public health concern every season. We aimed to evaluate influenza-associated outcomes and healthcare utilization by race and ethnicity. METHODS: We conducted a retrospective cohort study using the National Inpatient Sample across 2019 and 2020. Influenza pneumonia was selected as the principal diagnosis. Outcomes included mortality, use of respiratory support ventilation, length of stay, and total hospitalization charge. Regression models were adjusted for age, gender, Charlson Comorbidity Index, hospitals' region, bed size, teaching status, insurance status, and median income. RESULTS: We identified 73,098 individuals hospitalized with influenza pneumonia; 39,807 and 33,291 were admitted in 2019 and 2020, respectively. The sample included 49,829 (68%) White, 11,356 (15.5%) Black, 7526 (10%) Hispanic, 1860 (2.5%) Asian/Pacific, and 617 (0.84%) Native American patients. In-hospital mortality rates and respiratory support (non-invasive ventilation and invasive mechanical ventilation) in 2019 and 2020 were not significantly different across all the races. In 2019 and 2020, the adjusted odds ratios of in-patient mortality were not significantly different. Asians had higher odds of receiving NIV in 2019 but not in 2020 compared to White patients (adjusted odds ratio (aOR) 1.67, p value 0.04). The adjusted odds ratios for receiving IMV were not significantly different between the races in 2019 and 2020. CONCLUSIONS: This study contributes valuable insight into influenza-associated outcomes and healthcare utilization patterns among diverse racial and ethnic groups. Disparities in healthcare utilization were observed among younger (< 65 years) individuals of Black and Hispanic ethnicity.

The Neutrophil/Lymphocyte Ratio and Outcomes in Hospitalized Patients with Community-Acquired Pneumonia: A Retrospective Cohort Study.

We aimed to assess the prognostic role of the neutrophil/lymphocyte ratio (NLR) in community-acquired pneumonia (CAP) via a single-center retrospective cohort of hospitalized adult patients from 1/2009 to 12/2019. Patients were dichotomized into lower NLR (≤12) and higher NLR (>12). The primary outcome was mortality. ICU admission and hospital- and ICU-free days were secondary outcomes. The pneumonia severity index (PSI) and the NLR's ability to predict outcomes was also tested. An NLR ≤12 was observed in 2513 (62.2%) patients and >12 in 1526 (37.8%). After adjusting for PSI, the NLR was not associated with hospital mortality (odds ratio [OR] 1.115; 95% confidence interval [CI] 0.774, 1.606; p = 0.559), but it was associated with a higher risk of ICU admission (OR 1.405; 95% CI 1.216, 1.624; p < 0.001). The PSI demonstrated acceptable discrimination for mortality (area under the receiver operating characteristic curve [AUC] 0.78; 95% CI 0.75, 0.82) which was not improved by adding the NLR (AUC 0.78; 95% CI 0.75, 0.82, p = 0.4476). The PSI's performance in predicting ICU admission was also acceptable (AUC 0.75; 95% CI 0.74, 0.77) and improved by including the NLR (AUC 0.76, 95% CI 0.74, 0.77, p = 0.008), although with limited clinical significance. The NLR was not superior to the PSI for predicting mortality in hospitalized CAP patients.

A Rapidly Enlarging Asymptomatic Parapneumonic Effusion: A Case Report.

A pleural effusion is an accumulation of fluid in the pleural space due to an imbalance between formation and removal. They're commonly caused by heart failure or infections. We report a case of a 56-year-old male with community-acquired pneumonia and a trace pleural effusion on presentation. Despite clinical improvement with antibiotic therapy, the effusion significantly increased on day two. This case report is unique because the patient had an enlarging effusion, but remained asymptomatic and denied worsening shortness of breath, chest pain, or cough. The patient was treated successfully with chest tube placement and intrapleural fibrinolytic therapy. This report emphasizes the importance of repeat imaging for asymptomatic parapneumonic effusions (PPE) that can complicate community-acquired pneumonia. We aim to raise awareness of the atypical presentation and management of parapneumonic effusions through a case report.

Early machine learning prediction of hospitalized patients at low risk of respiratory deterioration or mortality in community-acquired pneumonia: Derivation and validation of a multivariable model.

Current prognostic tools for pneumonia predominantly focus on mortality, often neglecting other crucial outcomes such as the need for advanced respiratory support. The objective of this study was to develop and validate a tool that predicts the early risk of non-occurrence of respiratory deterioration or mortality. We conducted a single-center, retrospective cohort study involving hospitalized adult patients with community-acquired pneumonia (CAP) and acute hypoxic respiratory failure from January 2009 to December 2019 (n = 4379). We employed the gradient boosting machine (GBM) learning to create a model that estimates the likelihood of patients requiring advanced respiratory support (high flow nasal cannula [HFNC], non-invasive mechanical ventilation [NIMV], and invasive mechanical ventilation [IMV]) or facing mortality during hospitalization. This model utilized readily available data including demographic, physiologic, and laboratory data, sourced from electronic health records and obtained within the first six hours of admission. Out of the cohort, 890 patients (25.2%) either required advanced respiratory support or died during their hospital stay. Our predictive model displayed superior discrimination and higher sensitivity (cross-validation C-statistic = 0.71; specificity = 0.56; sensitivity = 0.72) compared to the pneumonia severity index (PSI) (C-statistic = 0.65; specificity = 0.91; sensitivity = 0.24; P value < 0.001), while maintaining a negative predictive value (NPV) of approximately 0.85. These data demonstrate that our machine learning model predicted the non-occurrence of respiratory deterioration or mortality among hospitalized CAP patients more accurately than the PSI. The enhanced sensitivity of this model holds potential for reliably excluding low-risk patients from pneumonia clinical trials.

Characteristics and Outcomes of Critically Ill Patients With Pulmonary Hypertension Who Undergo Endotracheal Intubation and Mechanical Ventilation.

Background: Patients with pulmonary hypertension (PH) who undergo endotracheal intubation have an increased risk of adverse outcomes, but little is known regarding prognostic factors and there is limited evidence to guide management. We sought to define characteristics, prognostic factors, and outcomes of critically ill patients with PH who underwent intubation. Study Design: We performed a single-center retrospective cohort study of critically ill patients with group 1, 3 or 4 PH who underwent intubation. Results: Eighty-one patients were included. Patients had a median age of 56 years (interquartile range 44-65) and were predominantly female (n = 53, 65%) and Caucasian (n = 71, 88%). Forty-five (56%) had group 1 PH while 25 (31%) had group 3 PH and 11 (14%) had group 4 PH. Patients were admitted to the hospital for right ventricular failure (n = 21, 25.6%), sepsis (n = 18, 22.2%), and respiratory failure (n = 19, 23.1%). Hypoxemic respiratory failure (n = 54, 66.7%) was the most common indication for intubation. In-hospital mortality was 30.9% and 1-year mortality was 48.2%. All patients (11 of 11, 100%) intubated electively for intensive care unit procedures survived to hospital discharge while only 1 of 6 (16.7%) intubated in the setting of a cardiac arrest survived. After adjusting for right ventricular systolic pressure, pre-intubation PaO2 (odds ratio [OR] = 0.99, 95% confidence interval [CI] 0.97-1.00, P = .02) and postintubation PaO2 (OR = 0.97 per 1mm Hg, 95% CI 0.95 to 0.99, P = .003), pH (OR = 0.49 per 0.1 increase, 95% CI 0.29 to 0.80, P = .005) and PaCO2 (OR = 1.08 per 1mm Hg, 95% CI 1.02 to 1.14, P = .005) were significantly associated with in-hospital mortality. Results were similar when we excluded patients intubated electively or in the setting of cardiac arrest. Conclusions: Intubation in critically ill patients with PH is associated with significant in-hospital mortality and nearly 50% 1-year mortality. Potentially modifiable factors, such as peri-intubation gas exchange, are associated with an increased risk of death while other demographic and hemodynamic variables are not.

Biomarker-Concordant Steroid Administration in Severe Coronavirus Disease-2019.

BACKGROUND: Although corticosteroids have become the standard of care for patients with coronavirus disease-2019 (COVID-19) on supplemental oxygen, there is growing evidence of differential treatment response. This study aimed to evaluate if there was an association between biomarker-concordant corticosteroid treatment and COVID-19 outcomes. METHODS: This registry-based cohort study included adult COVID-19 hospitalized patients between January 2020 and December 2021 from 109 institutions. Patients with available C-reactive protein (CRP) levels within 48 h of admission were evaluated. Those on steroids before admission, stayed in the hospital for <48 h, or were not on oxygen support were excluded. Corticosteroid treatment was biomarker-concordant if given with high baseline CRP ≥150 mg/L or withheld with low CRP (<150 mg/L) and vice-versa was considered discordant (low CRP with steroids, high CRP without steroids). Hospital mortality was the primary outcome. Sensitivity analyses were conducted using varying CRP level thresholds. The model interaction was tested to determine steroid effectiveness with increasing CRP levels. RESULTS: Corticosteroid treatment was biomarker-concordant in 1778 (49%) patients and discordant in 1835 (51%). The concordant group consisted of higher-risk patients than the discordant group. After adjusting for covariates, the odds of in-hospital mortality were significantly lower in the concordant group than the discordant (odds ratio [95% confidence interval (C.I.)] = 0.71 [0.51, 0.98]). Similarly, adjusted mortality difference was significant at the CRP thresholds of 100 and 200 mg/L (odds ratio [95% C.I.] = 0.70 [0.52, 0.95] and 0.57 [0.38, 0.85], respectively), and concordant steroid use was associated with lower need for invasive ventilation for 200 mg/L threshold (odds ratio [95% C.I.] = 0.52 [0.30, 0.91]). In contrast, no outcome benefit was observed at CRP threshold of 50. When the model interaction was tested, steroids were more effective at reducing mortality as CRP levels increased. CONCLUSION: Biomarker-concordant corticosteroid treatment was associated with lower odds of in-hospital mortality in severe COVID-19.

Development and Validation of an Acute Respiratory Distress Syndrome Prediction Model in Coronavirus Disease 2019: Updated Lung Injury Prediction Score.

OBJECTIVE: To develop and validate an updated lung injury prediction score for coronavirus disease 2019 (COVID-19) (c-LIPS) tailored for predicting acute respiratory distress syndrome (ARDS) in COVID-19. PATIENTS AND METHODS: This was a registry-based cohort study using the Viral Infection and Respiratory Illness Universal Study. Hospitalized adult patients between January 2020 and January 2022 were screened. Patients who qualified for ARDS within the first day of admission were excluded. Development cohort consisted of patients enrolled from participating Mayo Clinic sites. The validation analyses were performed on remaining patients enrolled from more than 120 hospitals in 15 countries. The original lung injury prediction score (LIPS) was calculated and enhanced using reported COVID-19-specific laboratory risk factors, constituting c-LIPS. The main outcome was ARDS development and secondary outcomes included hospital mortality, invasive mechanical ventilation, and progression in WHO ordinal scale. RESULTS: The derivation cohort consisted of 3710 patients, of whom 1041 (28.1%) developed ARDS. The c-LIPS discriminated COVID-19 patients who developed ARDS with an area under the curve (AUC) of 0.79 compared with original LIPS (AUC, 0.74; P<.001) with good calibration accuracy (Hosmer-Lemeshow P=.50). Despite different characteristics of the two cohorts, the c-LIPS's performance was comparable in the validation cohort of 5426 patients (15.9% ARDS), with an AUC of 0.74; and its discriminatory performance was significantly higher than the LIPS (AUC, 0.68; P<.001). The c-LIPS's performance in predicting the requirement for invasive mechanical ventilation in derivation and validation cohorts had an AUC of 0.74 and 0.72, respectively. CONCLUSION: In this large patient sample c-LIPS was successfully tailored to predict ARDS in COVID-19 patients.

Early, biomarker-guided steroid dosing in COVID-19 Pneumonia: a pilot randomized controlled trial.

ClinicalTrials.gov identifier (NCT number): NCT03852537 , Registered February 25, 2019.

FIO2 Trajectory as a Pragmatic Intermediate Marker in Acute Hypoxic Respiratory Failure.

BACKGROUND: Several markers of oxygenation are used as prognostic markers in acute hypoxemic respiratory failure. Real-world use is limited by the need for invasive measurements and unreliable availability in the electronic health record. A pragmatic, reliable, and accurate marker of acute hypoxemic respiratory failure is needed to facilitate epidemiologic studies, clinical trials, and shared decision-making with patients. [Formula: see text] is easily obtained at the bedside and from the electronic health record. The [Formula: see text] trajectory may be a valuable marker of recovery in patients with acute hypoxemic respiratory failure. METHODS: This was a historical cohort study of adult subjects admitted to an ICU with acute hypoxemic respiratory failure secondary to community-acquired pneumonia and/or ARDS. RESULTS: Our study included 2,670 subjects. [Formula: see text] and [Formula: see text] were consistently more available than was [Formula: see text] in the electronic health record: ([Formula: see text] vs [Formula: see text] vs [Formula: see text] : 100 vs 100 vs 72.8% on day 1, and 100 vs 99 vs 21% on day 5). A worsening [Formula: see text] trajectory was associated with reduced ventilator-free days. From days 2 to 5, every increase in [Formula: see text] by 10% from the previous day was associated with fewer ventilator-free days (on day 2: adjusted mean -1.25 [95% CI -1.45 to -1.05] d, P < .001). The [Formula: see text] trajectory also provided prognostic information. On days 3 - 5, an increase in [Formula: see text] from the previous day was associated with increased ventilator-free days (on day 3: adjusted mean 2.09 (95% CI 1.44-2.74) d; P < .001). [Formula: see text] models did not add predictive information compared with models with [Formula: see text] alone (on day 2: adjusted [Formula: see text] vs [Formula: see text] R2 0.122 vs 0.119; and on day 3: 0.153 vs 0.163). CONCLUSIONS: [Formula: see text] and [Formula: see text] are pragmatic and readily available intermediate prognostic markers in acute hypoxic respiratory failure. The [Formula: see text] trajectory in the first 5 d of ICU admission provided important prognostic information (ventilator-free days). Although the [Formula: see text] trajectory was also associated with ventilator-free days, it did not provide more information than the [Formula: see text] trajectory alone.

Rule-Based Cohort Definitions for Acute Respiratory Distress Syndrome: A Computable Phenotyping Strategy Based on the Berlin Definition.

Accurate identification of acute respiratory distress syndrome is essential for understanding its epidemiology, patterns of care, and outcomes. We aimed to design a computable phenotyping strategy to detect acute respiratory distress syndrome in electronic health records of critically ill patients. DESIGN: This is a retrospective cohort study. Using a near real-time copy of the electronic health record, we developed a computable phenotyping strategy to detect acute respiratory distress syndrome based on the Berlin definition. SETTING: Twenty multidisciplinary ICUs in Mayo Clinic Health System. SUBJECTS: The phenotyping strategy was applied to 196,487 consecutive admissions from year 2009 to 2019. INTERVENTIONS: The acute respiratory distress syndrome cohort generated by this novel strategy was compared with the acute respiratory distress syndrome cohort documented by clinicians during the same period. The sensitivity and specificity of the phenotyping strategy were calculated in randomly selected patient cohort (50 patients) using the results from manual medical record review as gold standard. MEASUREMENTS AND MAIN RESULTS: Among the patients who did not have acute respiratory distress syndrome documented, the computable phenotyping strategy identified 3,169 adult patients who met the Berlin definition, 676 patients (21.3%) were classified to have severe acute respiratory distress syndrome (Pao2/Fio2 ratio ≤ 100), 1,535 patients (48.4%) had moderate acute respiratory distress syndrome (100 < Pao2/Fio2 ratio ≤ 200), and 958 patients (30.2%) had mild acute respiratory distress syndrome (200 < Pao2/Fio2 ratio ≤ 300). The phenotyping strategy achieved a sensitivity of 94.4%, specificity of 96.9%, positive predictive value of 94.4%, and negative predictive value of 96.9% in a randomly selected patient cohort. The clinicians documented acute respiratory distress syndrome in 1,257 adult patients during the study period. The clinician documentation rate of acute respiratory distress syndrome was 28.4%. Compared with the clinicians' documentation, the phenotyping strategy identified a cohort that had higher acuity and complexity of illness suggested by higher Sequential Organ Failure Assessment score (9 vs 7; p < 0.0001), higher Acute Physiology and Chronic Health Evaluation score (76 vs 63; p < 0.0001), higher rate of requiring invasive mechanical ventilation (99.1% vs 71.8%; p < 0.0001), higher ICU mortality (20.6% vs 16.8%; p < 0.0001), and longer ICU length of stay (5.1 vs 4.2 d; p < 0.0001). CONCLUSIONS: Our rule-based computable phenotyping strategy can accurately detect acute respiratory distress syndrome in critically ill patients in the setting of high clinical complexity. This strategy can be applied to enhance early recognition of acute respiratory distress syndrome and to facilitate best-care delivery and clinical research in acute respiratory distress syndrome.

Impact of Corticosteroids in Coronavirus Disease 2019 Outcomes: Systematic Review and Meta-analysis.

BACKGROUND: Since its appearance in late 2019, infections caused by severe acute respiratory syndrome coronavirus 2 have created unprecedented challenges for health systems worldwide. Multiple therapeutic options have been explored, including corticosteroids. Preliminary results of corticosteroids in coronavirus disease 2019 (COVID-19) are encouraging; however, the role of corticosteroids remains controversial. RESEARCH QUESTION: What is the impact of corticosteroids in mortality, ICU admission, mechanical ventilation, and viral shedding in COVID-19 patients? STUDY DESIGN AND METHODS: We conducted a systematic review of literature on corticosteroids and COVID-19 in major databases (PubMed, MEDLINE, and EMBASE) of published literature through July 22, 2020, that report outcomes of interest in COVID-19 patients receiving corticosteroids with a comparative group. RESULTS: A total of 73 studies with 21,350 COVID-19 patients were identified. Corticosteroid use was reported widely in mechanically ventilated patients (35.3%), ICU patients (51.3%), and severe COVID-19 patients (40%). Corticosteroids showed mortality benefit in severelly ill COVID-19 patients (OR, 0.65; 95% CI, 0.51-0.83; P = .0006); however, no beneficial or harmful effects were noted among high-dose or low-dose corticosteroid regimens. Emerging evidence shows that low-dose corticosteroids do not have a significant impact in the duration of SARS-CoV-2 viral shedding. The analysis was limited by highly heterogeneous literature for high-dose and low-dose corticosteroids regimens. INTERPRETATION: Our results showed evidence of mortality benefit in severely ill COVID-19 patients treated with corticosteroids. Corticosteroids are used widely in COVID-19 patients worldwide, and a rapidly developing global pandemic warrants further high-quality clinical trials to define the most beneficial timing and dosing for corticosteroids.

Biomarker-Concordant Steroid Use in Critically Ill Patients with Pneumonia.

OBJECTIVES: To evaluate the frequency and consequences of prescribing corticosteroids for pneumonia in a biomarker-concordant manner. PATIENTS AND METHODS: This was a single-center retrospective cohort study of adults with pneumonia admitted to the medical intensive care unit (ICU) at Mayo Clinic in Rochester, Minnesota, between January 1, 2009, and June 30, 2014. Steroid use was "biomarker concordant" if given when C-reactive protein (CRP) was ≥150 mg/L or withheld when CRP was <150 mg/L, and vice versa for biomarker discordant. RESULTS: Of 3481 ICU admissions with community-acquired pneumonia, 169 (4.9%) had CRPs measured within 48 hours of admission to the ICU. Steroid use in the ICU was biomarker concordant in 88 (52%) patients and biomarker discordant in 81 (48%) patients. Biomarker-concordant steroid use was associated with faster resolution of lung injury: median fraction of inspired oxygen on day 3 (0.4 [0.3, 0.5] vs 0.3 [0.21, 0.4], P=.005), day 4 (0.35 [0.3, 0.5] vs 0.28 [0.21, 0.38], P=<.001), and day 5 (0.30 [0.24, 0.45] vs 0.28 [0.21, 0.40], P=.03), and increased ICU (3.5; 95% CI, 0.5 to 6.4, P=.02), and hospital-free days (3.6; 95% CI, 0.4 to 6.8, P=.03) on multivariate analysis. CONCLUSIONS: In critically ill patients with community-acquired pneumonia, steroid use is rarely biomarker informed and often discordant with inflammatory biomarker levels. Biomarker-concordant steroid use was associated with a faster recovery of hypoxemia and increased ICU- and hospital-free days. Future well-designed prospective studies are justified to test the potential value of biomarker-concordant steroid therapy.

Diagnosis and treatment of acute pulmonary inflammation in critically ill patients: The role of inflammatory biomarkers.

Pneumonia and acute respiratory distress syndrome are common and important causes of respiratory failure in the intensive care unit with a significant impact on morbidity, mortality and health care utilization despite early antimicrobial therapy and lung protective mechanical ventilation. Both clinical entities are characterized by acute pulmonary inflammation in response to direct or indirect lung injury. Adjunct anti-inflammatory treatment with corticosteroids is increasingly used, although the evidence for benefit is limited. The treatment decisions are based on radiographic, clinical and physiological variables without regards to inflammatory state. Current evidence suggests a role of biomarkers for the assessment of severity, and distinguishing sub-phenotypes (hyper-inflammatory versus hypo-inflammatory) with important prognostic and therapeutic implications. Although many inflammatory biomarkers have been studied the most common and of interest are C-reactive protein, procalcitonin, and pro-inflammatory cytokines including interleukin 6. While extensively studied as prognostic tools (prognostic enrichment), limited data are available for the role of biomarkers in determining appropriate initiation, timing and dosing of adjunct anti-inflammatory treatment (predictive enrichment).

Clinical Strategies to Prevent Acute Respiratory Distress Syndrome.

Acute respiratory distress syndrome (ARDS) remains an important clinical entity in the intensive care unit with a significant impact on morbidity and mortality. Effective therapeutic interventions are limited; thus current research focus has shifted from treatment to the prevention of this pulmonary syndrome. In recent decades, a decrease in the incidence of ARDS has been observed and this reduction is largely due to preventive strategies including safe lung ventilation practices, avoidance of iatrogenic exposures, and improvement in care of predisposing conditions such as sepsis and pneumonia. Early identification of at-risk patients, prompt treatment of predisposing conditions, and adoption of evidence-based best practice including restrictive transfusion strategies, conservative fluid management, avoidance of large tidal volume ventilation, and aspiration precaution practices are key preventive strategies with demonstrated benefits. There are currently no effective pharmacological preventive strategies for ARDS.

Adjunct corticosteroid treatment in patients with pneumonia: A precision medicine approach.

Pneumonia is the leading infectious cause of death worldwide. While inflammation is critically important in host response to microbial invasion, exaggerated inflammation can damage the lungs, contributing to respiratory failure and mortality. Corticosteroids are effective in reducing inflammation and can also cause immune suppression. Presently, clinicians are unable to reliably distinguish between exaggerated and appropriate immune response and thus cannot rapidly identify patients most likely to benefit from adjunctive corticosteroids. In this review, we propose a biomarker-guided, precision medicine approach to corticosteroid treatment, aimed to give these medications at appropriate dose and time and only to patients who have exaggerated inflammation.

Does Low FEV1 in Addition to Fixed Ratio and/or Lower Limit of Normal of FEV1/FVC Improve Prediction of Mortality in COPD? The NHANES-III-linked-mortality Cohort.

PURPOSE: There is presently an ongoing debate on the relative merits of suggested criteria for spirometric airway obstruction. This study tests the null hypothesis that no superiority exists with the use of fixed ratio (FR) of forced expiratory volume in the first second (FEV1)/forced vital capacity (FVC) < 0.7 versus less than lower limit predicted (LLN) criteria with or without FEV1 <80% predicted in regards to future mortality. METHODS: In 1988-1994 the Third National Health and Nutrition Examination Survey (NHANES III) measured FEV1 and FVC with mortality follow-up data through December 31, 2011. For this survival analysis 7472 persons aged 40 and over with complete data formed the analytic sample. RESULTS: There were a total of 3554 deaths. Weighted Cox proportional hazards regression revealed an increased hazard ratio in persons with both fixed ratio and lower limit of normal with a low FEV1 (1.79, p < 0.0001), in those with fixed ratio only with a low FEV1 (1.77, p < 0.0001), in those with abnormal fixed ratio only with a normal FEV1 (1.28, p < 0.0001) compared with persons with no airflow obstruction (reference group). These remained significant after adjusting for demographic variables and other confounding variables. CONCLUSIONS: The addition of FEV1 < 80% of predicted increased the prognostic power of the fixed ratio <0.7 and/or below the lower limit of predicted criteria for airway obstruction.

Airflow obstruction, cognitive function and mortality in a US national cohort: NHANES-III.

OBJECTIVE: To test the hypothesis that cognitive impairment increases mortality independent of airflow obstruction. MATERIALS AND METHODS: In 1988-1994 the Third National Health and Nutrition Examination Survey (NHANES III) measured forced expiratory volume in the first second (FEV1) and the forced vital capacity (FVC) and selected items on cognitive function with mortality follow-up. For this survival analysis 4365 persons aged 60 and over with complete data formed the analytic sample. RESULTS: The FEV1/FVC less than the lower limit of predicted ratio (LLP) defined airflow obstruction and Composite Cognitive Function Score (CCF) ≤4, cognitive impairment. The percentage who died during follow up was 67% among those with neither FEV1/FVC < LLP nor CCF ≤4, 82% with FEV1/FVC < LLP only, 85% with CCF score ≤4 only and 93% with both FEV1/FVC LLP and CCF score ≤4 (P < .001). Weighted Cox proportional hazards regression revealed an increased hazard ratio (HR) in persons with FEV1/FVC

Screen Hours and Sleep Symptoms: The US National Health and Nutrition Examination Survey.

Few studies have examined the relationship between television viewing, computer use, and sleep symptoms. We hypothesized that television and computer time was associated with sleep symptoms. Screen hours were the sum of daily TV hours and computer hours. A total of 4342 participants 20 years and older had data on screen hours. After adjusting for confounders, 4 or more screen hours were significantly associated with increased odds of reporting long sleep latency, nighttime awakening, high sleep hours, and snoring (P < .05). These findings suggest that increased screen/TV time is an important risk factor for sleep symptoms.

Effect modification by race-ethnicity of environmental tobacco smoke exposure on airway inflammation in US children.

BACKGROUND: Asthma mortality and morbidity are higher in black than in white children. Fractional exhaled nitric oxide (FeNO) is a noninvasive biomarker of eosinophilic airway inflammation. Identification of differences in the effect of environmental tobacco smoke (ETS) on airway inflammation by race and ethnicity from a large sample is needed. OBJECTIVE: To estimate a racial difference in association with ETS and FeNO. METHODS: Data from the 2007 to 2012 National Health and Nutrition Examination Survey were analyzed to compare associations of ETS and FeNO levels in US black and other children. No ETS exposure was defined as a serum cotinine level lower than 0.05 ng/mL and ETS exposure was defined as a serum cotinine level of at least 0.05 ng/mL. FeNO was measured using a device that relies on an electrochemical sensor. Analyses took the complex survey design into account. RESULTS: The analytic sample was formed by 5,473 participants (6-11 years old, n = 2,385; 12-19 years old, n = 3,088) with complete data on demographics, serum cotinine levels, and 2 reproducible FeNO measurements. In weighted linear regression analyses at 6 to 11 years, the interaction term for ETS and black race was not significant (P = .15). At 12 to 19 years, the interaction term was significant (P = .03) in an analysis of all racial groups. In race-specific models, the coefficient for ETS exposure in blacks was -0.033 and that in others was -0.175, ie, ETS exposure was associated with a greater decrease in FeNO in non-blacks than in blacks. CONCLUSION: There was no evidence at 6 to 11 years of age for an effect modification by race of the association between ETS and FeNO. At 12 to 19 years, the data suggested an effect modification.