Artificial Differences in Clostridium difficile Infection Rates Associated with Disparity in Testing.

In 2015, Clostridium difficile testing rates among 30 US community, multispecialty, and cancer hospitals were 14.0, 16.3, and 33.9/1,000 patient-days, respectively. Pooled hospital onset rates were 0.56, 0.84, and 1.57/1,000 patient-days, respectively. Higher testing rates may artificially inflate reported rates of C. difficile infection. C. difficile surveillance should consider testing frequency.

Health literacy, socioeconomic status and self-rated health in Japan.

Health literacy (HL) is a key determinant of health in a contemporary society characterized by abundant information. Previous studies have suggested that basic or functional HL is positively associated with health, whereas evidences on the association between health and communicative/critical HL are scarce. Furthermore, confounding by socioeconomic status on HL-health association has been poorly tested. Using cross-sectional data from a nationally representative community-based survey in Japan, we investigated whether communicative/critical HL is associated with self-rated health independent of socioeconomic status. A total of 1237 subjects participated in this study; the response rate was 62%. To measure communicative/critical HL, we used three questions assessing the respondents' ability to select, to communicate to others and to evaluate specific health-related information. Potential confounders included demographic factors, household income, employment status, and educational attainment. A multivariate model revealed that good self-reported health was significantly associated with younger age [odds ratio (OR), 0.99; 95% confidence interval (CI), 0.97-0.99], employment (OR, 2.89; 95% CI, 1.06-7.88) and higher communicative/critical HL scores (OR 2.75; 95%CI, 1.93-3.90). Respondents with lower education were likely to have poorer communicative/critical HL. These results imply that to close the health gap, policy interventions should focus on the promotion of HL among deprived sociodemographic groups.

Costs of healthcare- and community-associated infections with antimicrobial-resistant versus antimicrobial-susceptible organisms.

OBJECTIVE: We compared differences in the hospital charges, length of hospital stay, and mortality between patients with healthcare- and community-associated bloodstream infections, urinary tract infections, and pneumonia due to antimicrobial-resistant versus -susceptible bacterial strains. METHODS: A retrospective analysis of an electronic database compiled from laboratory, pharmacy, surgery, financial, and patient location and device utilization sources was undertaken on 5699 inpatients who developed healthcare- or community-associated infections between 2006 and 2008 from 4 hospitals (1 community, 1 pediatric, 2 tertiary/quaternary care) in Manhattan. The main outcome measures were hospital charges, length of stay, and mortality among patients with antimicrobial-resistant and -susceptible infections caused by Staphylococcus aureus, Enterococcus faecium, Enterococcus faecalis, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Acinetobacter baumannii. RESULTS: Controlling for multiple confounders using linear regression and nearest neighbor matching based on propensity score estimates, resistant healthcare- and community-associated infections, when compared with susceptible strains of the same organism, were associated with significantly higher charges ($15,626; confidence interval [CI], $4339-$26,913 and $25,573; CI, $9331-$41,816, respectively) and longer hospital stays for community-associated infections (3.3; CI, 1.5-5.4). Patients with resistant healthcare-associated infections also had a significantly higher death rate (0.04; CI, 0.01-0.08). CONCLUSIONS: With careful matching of patients infected with the same organism, antimicrobial resistance was associated with higher charges, length of stay, and death rates. The difference in estimates after accounting for censoring for death highlight divergent social and hospital incentives in reducing patient risk for antimicrobial resistant infections.

The New York State SARS-CoV-2 Testing Consortium: Regional Communication in Response to the COVID-19 Pandemic.

The COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2, created an unprecedented need for comprehensive laboratory testing of populations, in order to meet the needs of medical practice and to guide the management and functioning of our society. With the greater New York metropolitan area as an epicenter of this pandemic beginning in March 2020, a consortium of laboratory leaders from the assembled New York academic medical institutions was formed to help identify and solve the challenges of deploying testing. This report brings forward the experience of this consortium, based on the real-world challenges which we encountered in testing patients and in supporting the recovery effort to reestablish the health care workplace. In coordination with the Greater New York Hospital Association and with the public health laboratory of New York State, this consortium communicated with state leadership to help inform public decision-making addressing the crisis. Through the length of the pandemic, the consortium has been a critical mechanism for sharing experience and best practices in dealing with issues including the following: instrument platforms, sample sources, test performance, pre- and post-analytical issues, supply chain, institutional testing capacity, pooled testing, biospecimen science, and research. The consortium also has been a mechanism for staying abreast of state and municipal policies and initiatives, and their impact on institutional and laboratory operations. The experience of this consortium may be of value to current and future laboratory professionals and policy-makers alike, in dealing with major events that impact regional laboratory services.

A comparison of methods to detect urinary tract infections using electronic data.

BACKGROUND: The use of electronic medical records to identify common health care-associated infections (HAIs), including pneumonia, surgical site infections, bloodstream infections, and urinary tract infections (UTIs), has been proposed to help perform HAI surveillance and guide infection prevention efforts. Increased attention on HAIs has led to public health reporting requirements and a focus on quality improvement activities around HAIs. Traditional surveillance to detect HAIs and focus prevention efforts is labor intensive, and computer algorithms could be useful to screen electronic data and provide actionable information. METHODS: Seven computer-based decision rules to identify UTIs were compared in a sample of 33,834 admissions to an urban academic health center. These decision rules included combinations of laboratory data, patient clinical data, and administrative data (for example, International Statistical Classification of Diseases and Related Health Problems, Ninth Revision [ICD-9] codes). RESULTS: Of 33,834 hospital admissions, 3,870 UTIs were identified by at least one of the decision rules. The use of ICD-9 codes alone identified 2,614 UTIs. Laboratory-based definitions identified 2,773 infections, but when the presence of fever was included, only 1,125 UTIs were identified. The estimated sensitivity of ICD-9 codes was 55.6% (95% confidence interval [CI], 52.5%-58.5%) when compared with a culture- and symptom-based definition. Of the UTIs identified by ICD-9 codes, 167/1,125 (14.8%) also met two urine-culture decision rules. DISCUSSION: Use of the example of UTI identification shows how different algorithms may be appropriate, depending on the goal of case identification. Electronic surveillance methods may be beneficial for mandatory reporting, process improvement, and economic analysis.

Erroneous Reporting of Deaths Attributed to Pneumonia and Influenza at 2 New York City Teaching Hospitals, 2013-2014.

OBJECTIVES: Cause-of-death information, reported by frontline clinicians after a patient's death, is an irreplaceable source of public health data. However, systematic bias in cause-of-death reporting can lead to over- or underestimation of deaths attributable to different causes. New York City consistently reports higher rates of deaths attributable to pneumonia and influenza than many other US cities and the country. We investigated systematic erroneous reporting as a possible explanation for this phenomenon. METHODS: We reviewed all deaths from 2 New York City hospitals during 2013-2014 in which pneumonia or influenza was reported as the underlying cause of death (n = 188), and we examined the association between erroneous reporting and multiple extrinsic factors that may influence cause-of-death reporting (patient demographic characteristics and medical comorbidities, time and hospital location of death, type of medical provider reporting the death, and availability of certain diagnostic information). RESULTS: Pneumonia was erroneously reported as the underlying cause of death in 163 (86.7%) reports. We identified heart disease and dementia as the more likely underlying cause of death in 21% and 17% of erroneously reported deaths attributable to pneumonia, respectively. We found no significant association between erroneous reporting and the multiple extrinsic factors examined. CONCLUSIONS: Our results underscore how erroneous reporting of 1 condition can lead to underreporting of other causes of death. Misapplication or misunderstanding of procedures by medical providers, rather than extrinsic factors influencing the reporting process, are key drivers of erroneous cause-of-death reporting.

Risk of subsequent health care-associated infection among patients with a bloodstream infection present on hospital admission.

BACKGROUND: The risks and outcomes of acquiring a health care-associated infection (HAI) among patients with a bloodstream infection present on hospital admission (BSI-POA) have not been well described. The objective of this study was to examine the incidence of and risk factors for developing a subsequent HAI and to compare length of stay and mortality between patients with a BSI-POA who develop an HAI and those who do not. METHODS: This was a retrospective cohort study of patients aged ≥18 years discharged with a BSI-POA from 3 hospitals in New York City between 2006 and 2014. RESULTS: There were 761 HAIs among the 11,436 patients with a BSI-POA. Incidence rates were: catheter-associated urinary tract infections, 5.03 infections per 1,000 catheter days; pneumonia, 2.7% among BSI-POA patients; surgical site infections, 9.2% among BSI-POA patients. Length of stay was longer among patients who developed an HAI (mean ± SD, 35.0 ± 29.8 vs 12.4 ± 11.9, P < .001). Mortality was higher in patients who developed an HAI (23.9% vs 11.6%, P < .001). CONCLUSIONS: Risk factors for those who developed an HAI differed by infection type. Overall, HAI was associated with longer hospitalization, and pneumonia was associated with increased mortality.

Epidemiology and Clinical Features of Human Coronaviruses in the Pediatric Population.

BACKGROUND: The epidemiology and clinical features of human coronaviruses (HCoVs) in children are not fully characterized. METHODS: A retrospective study of children with HCoV detected by reverse-transcriptase polymerase chain reaction (RT-PCR) was performed for a community cohort and a children's hospital in the same community from January 2013 to December 2014. The RT-PCR assay detected HCoV 229E, HKU1, NL63, and OC43 in nasal swabs from symptomatic children ≤18 years. Factors associated with increased severity of illness in hospitalized children were assessed by multivariable logistic regression. RESULTS: Human coronavirus was detected in 261 children, 49 and 212 from the community and hospital, respectively. The distribution of HCoV types and seasonal trends were similar in the community and hospital. Community cases were older than hospitalized cases (median age, 4.4 versus 1.7 years, respectively; P < .01), and a minority of community cases (26.5%) sought medical attention. Among the hospitalized children with HCoV detected, 39 (18.4%) received respiratory support and 24 (11.3%) were admitted to the pediatric intensive care unit (PICU). Age <2 years (odds ratio [OR] = 5.0; 95% confidence interval [CI], 1.9-13.1) and cardiovascular (OR = 3.9; 95% CI, 1.6-9.5), genetic/congenital (OR = 2.8; 95% CI, 1.1-7.0), and respiratory chronic complex conditions ([CCCs] OR = 4.5; 95% CI, 1.7-12.0) were associated with receiving respiratory support. Genetic/congenital (OR = 2.8; 95% CI, 1.1-7.4) CCCs were associated with PICU admission. Severity of illness was similar among hospitalized children with different HCoV types. CONCLUSIONS: Children in the community with HCoV detected generally had mild illness as demonstrated by few medically attended cases. In hospitalized children, young age and CCCs, but not HCoV type, were associated with increased severity of illness.

Theory based analysis of anti-inflammatory effect of infliximab on Crohn's disease.

Tumor necrosis factor (TNF)-alpha, a primary mediator of inflammatory responses, is increased in patients with active Crohn's disease (CD) and considered to play an important role in the regulation of inflammation in CD. Infliximab (IFX) is a chimeric murine-human monoclonal IgG1 antibody that targets TNF-alpha and is used as a therapeutic agent for CD. Although that dosage regimen has been established through clinical trial experience, it has not been analyzed theoretically. We analyzed of sequential changes of the Crohn's disease activity index (CDAI) using a pharmacokinetic-pharmacodynamic model integrating the pharmacokinetics of IFX and turnover rate of TNF-alpha. The time course effects of IFX derived from the present model were matched to reported data regarding CDAI ratios, and we found that the clinical effect of IFX reached a maximum value 2 to 4 weeks after administration and was maintained for the next several weeks. Our results suggested that the standard dosage regimen of IFX is theoretically appropriate. Further, based on the results of various dosage regimens, a second administration of IFX 2 weeks after the first dose was shown to achieve remission in the early stage of active CD, when IFX was given as a repeated treatment.

Reverse genetic analyses of gamete-enriched genes revealed a novel regulator of the cAMP signaling pathway in Dictyostelium discoideum.

Sexual development in Dictyostelium discoideum is initiated by the fusion of opposite mating type cells to form zygote giant cells, which subsequently gather and phagocytose surrounding cells for nutrition to form macrocysts. Here we performed the targeting of 24 highly gamete-enriched genes we previously isolated, and successfully generated knockout mutants for 16 genes and RNAi mutants for 20 genes including 6 genes without disruptants. In the knockout mutants of two genes, cell aggregation toward the giant cells was much less extensive and many cells remained around poorly formed macrocysts. We named these genes tmcB and tmcC. Although macrocyst formation of wild type cells was suppressed by the addition of exogenous cAMP, that of knockout mutants of tmcB was much less sensitive. The mRNA level of phosphodiesterase (pde) was higher and that of its inhibitor (pdi) was lower in the latter cells compared to the parental strains during sexual development. Thus, tmcB appeared to be a novel regulator of the cAMP signaling pathway specific to sexual development. Knockout mutants of tmcC were indistinguishable from the wild type cells with respect to the cAMP response, suggesting that this gene is relevant to other processes.

Analysis of linkage between lymphotoxin alpha haplotype and polymorphisms in 5'-flanking region of tumor necrosis factor alpha gene associated with efficacy of infliximab for Crohn's disease patients.

Tumor necrosis factor (TNF)alpha is increased in patients with Crohn's disease (CD) and considered to play an important role in the inflammation. Infliximab (IFX) is used as a therapeutic agent for CD. Recently, it was reported that homozygosity for a lymphotoxin alpha (LTA) haplotype (LTA 1-1-1-1) may identify subgroups with a poor response to IFX. In the present study, we characterized the linkage of the LTA haplotype with SNPs in the 5'-flanking region of the TNFalpha gene. In subjects who had homozygosity for each LTA haplotype, 6 nucleotide variations, -857C > T, -522C > G, -357A > C, -261C > G, -159G > T and -96G > T, were found in the 5'-flanking region of the TNFalpha gene. As for linking with the allele, only -857T met the LTA haplotype 1-1-1-1. We concluded that the differences in therapeutic effects of IFX among patients with CD may be explained in part by the induction ability of TNFalpha via the -857C > T polymorphism.

Vaccine-related varicella-zoster rash in a hospitalized immunocompetent patient.

An immunocompetent health care worker with no known history of varicella-zoster virus (VZV) disease was exposed to a patient with herpes zoster and was immunized 2 days later. Twenty-seven days after receiving the varicella vaccine, while hospitalized, she developed a disseminated rash. This exposure and subsequent development of symptoms posed infection control challenges. A polymerase chain reaction analysis of her vesicular fluid was positive for vaccine-type VZV, and a blood specimen collected before vaccination demonstrated a positive VZV titer by the fluorescent antibody to membrane antigen test. To the best of our knowledge, there have been no previous reports of an immunocompetent seropositive person developing vaccine-type VZV after receiving the vaccine.

Comparison of two computer algorithms to identify surgical site infections.

BACKGROUND: Surgical site infections (SSIs), the second most common healthcare-associated infections, increase hospital stay and healthcare costs significantly. Traditional surveillance of SSIs is labor-intensive. Mandatory reporting and new non-payment policies for some SSIs increase the need for efficient and standardized surveillance methods. Computer algorithms using administrative, clinical, and laboratory data collected routinely have shown promise for complementing traditional surveillance. METHODS: Two computer algorithms were created to identify SSIs in inpatient admissions to an urban, academic tertiary-care hospital in 2007 using the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes (Rule A) and laboratory culture data (Rule B). We calculated the number of SSIs identified by each rule and both rules combined and the percent agreement between the rules. In a subset analysis, the results of the rules were compared with those of traditional surveillance in patients who had undergone coronary artery bypass graft surgery (CABG). RESULTS: Of the 28,956 index hospital admissions, 5,918 patients (20.4%) had at least one major surgical procedure. Among those and readmissions within 30 days, the ICD-9-CM-only rule identified 235 SSIs, the culture-only rule identified 287 SSIs; combined, the rules identified 426 SSIs, of which 96 were identified by both rules. Positive and negative agreement between the rules was 36.8% and 97.1%, respectively, with a kappa of 0.34 (95% confidence interval [CI] 0.27-0.41). In the subset analysis of patients who underwent CABG, of the 22 SSIs identified by traditional surveillance, Rule A identified 19 (86.4%) and Rule B identified 13 (59.1%) cases. Positive and negative agreement between Rules A and B within these "positive controls" was 81.3% and 50.0% with a kappa of 0.37 (95% CI 0.04-0.70). CONCLUSION: Differences in the rates of SSI identified by computer algorithms depend on sources and inherent biases in electronic data. Different algorithms may be appropriate, depending on the purpose of case identification. Further research on the reliability and validity of these algorithms and the impact of changes in reimbursement on clinician practices and electronic reporting is suggested.