Underlying Disease Severity as a Major Risk Factor for Nosocomial Clostridium difficile Diarrhea

2002 ◽  
Vol 23 (11) ◽  
pp. 653-659 ◽  
Author(s):  
Lorraine Kyne ◽  
Stavros Sougioultzis ◽  
Lynne V. McFarland ◽  
Ciarán P. Kelly
Keyword(s):  
Cohort Study ◽  
Clostridium Difficile ◽  
Disease Severity ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Severe Disease ◽  
Underlying Disease ◽  
Hospitalized Patients ◽  
Antibiotic Prescribing ◽  
Predictive Values

Objective:To determine the diagnostic accuracy of an index of underlying disease severity (Horn's index) in identifying patients with a high probability of having nosocomial Clostridium difficile diarrhea as a complication of antimicrobial therapy.Design:A prospective cohort study of 252 adult patients admitted to the hospital and receiving antibiotics. Risk factors for C. difficile diarrhea were first determined retrospectively in a different cohort of 300 hospitalized patients (primary cobort) and then prospectively in this cohort of 252 hospitalized patients receiving antibiotics (secondary cohort). At the time of hospital admission, disease was rated by clinicians as mild (1), moderate (2), severe (3), or extremely severe (4) using a modified Horn's index. Multivariable logistic regression analysis was used to determine the odds ratio (OR) for C. difficile diarrhea associated with increasing levels of disease severity.Setting:An urban teaching hospital affiliated with a medical school in Boston, Massachusetts.Results:The incidence of nosocomial C. difficile diarrhea was 8.7% in the primary cohort and 11% in the secondary cohort. In the prospective cohort study (secondary cohort), the OR for C. difficile diarrhea associated with extremely severe disease was 17.6 (95% confidence interval, 5.8 to 53.5). The sensitivity, specificity, and positive and negative predictive values of a Horn's index score of 3 or more (severe to extremely severe disease) as a predictor of nosocomial C. difficile diarrhea were 79%, 73%, 27%, and 96%, respectively.Conclusions:These findings provide a means of early stratification of hospitalized patients receiving antibiotics according to their risk for nosocomial C. difficile diarrhea. Patients with severe to extremely severe disease at the time of admission may benefit from careful monitoring of antibiotic prescribing and early attention to infection control issues. In the future, these “high-risk” patients may benefit from prophylaxis studies of novel agents being developed to prevent C. difficile diarrhea.

scholarly journals Growth Patterns of Clostridium difficile – Correlations with Strains, Binary Toxin and Disease Severity: A Prospective Cohort Study

PLoS ONE ◽  
2016 ◽  
Vol 11 (9) ◽  
pp. e0161711 ◽  
Author(s):  
Sarah Tschudin-Sutter ◽  
Olivier Braissant ◽  
Stefan Erb ◽  
Anne Stranden ◽  
Gernot Bonkat ◽  
...  
Keyword(s):  
Cohort Study ◽  
Clostridium Difficile ◽  
Disease Severity ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Growth Patterns ◽  
Binary Toxin

scholarly journals Relationship Between Enteropathogen and Acute Gastroenteritis Disease Severity: A Prospective Cohort Study

2017 ◽  
Vol 4 (suppl_1) ◽  
pp. S364-S364
Author(s):  
Stephen Freedman ◽  
Jianling Xie ◽  
Alberto Nettel-Aguirre ◽  
Bonita Lee ◽  
Linda Chui ◽  
...  
Keyword(s):  
Cohort Study ◽  
Disease Severity ◽  
Prospective Cohort Study ◽  
Acute Gastroenteritis ◽  
Prospective Cohort ◽  
Rectal Swab ◽  
Severe Disease ◽  
Molecular Diagnostic ◽  
Emergency Department Care ◽  
Norovirus Gii

Abstract Background Little is known about the association between specific enteropathogens and disease severity in outpatient children with acute gastroenteritis. Recent advances in diagnostics enabling the rapid and simultaneous detection of common enteropathogens have become readily available. While such knowledge can be used to optimize therapy it also has the potential to predict disease severity. Such knowledge can aid clinical decision making, can clarify guidance and expectations provided to families, and can guide public health policy. Methods We conducted a prospective cohort study of children with acute gastroenteritis who were brought for emergency department care. The primary outcome measure was the 20-point Modified Vesikari Scale (MVS) score calculated from symptom onset until day14 of follow-up (total MVS score). Stool and/or rectal swab specimens were collected and analyzed for 18 unique pathogens by molecular diagnostic assays (in-house 5 virus panel, Luminex xTAG Gastrointestinal Pathogen Panel) and/or bacterial culture. An enteropathogen was deemed to be present if a candidate pathogen was identified in the rectal swab or stool specimens by any testing method. Binary logistic regression was performed to assess the association between pathogens (including all pathogens as present or not) and disease severity with the dependent variable being the total MVS score categorized as severe (11–20 points) vs.. non-severe (0–10 points). Results The mean total MVS score (SD) was 12.8 (3.2) and 73.0% (807/1102) of participants experienced severe disease. A pathogen was identified in 72.8% (802/1102) of study participants. Rotavirus, norovirus GII and adenovirus were identified in 26.6% (293/1102), 23.0% (253/1102) and 16.0% (176/1102) of participants respectively. After adjusting for other pathogens significant predictors of severe disease were: rotavirus (OR=8.0; 95% CI: 4.8, 13.2), Salmonella (OR=5.4; 95% CI: 1.2, 24.4), adenovirus (OR=2.1; 95% CI: 1.3, 3.3), and norovirus GII (OR=1.8; 95% CI: 1.3, 2.6). Clostridium difficile (OR=1.6; 95% CI: 0.96, 2.6) and Aeromonas (OR=0.97; 95% CI: 0.2, 4.7) were not significantly associated with severe disease. Conclusion In children with acute gastroenteritis, the enteropathogens associated with severe disease included rotavirus, Salmonella, adenovirus and norovirus GII. Disclosures All authors: No reported disclosures.

scholarly journals SARS-CoV-2 viral load as a predictor for disease severity in outpatients and hospitalised patients with COVID-19: A prospective cohort study

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258421
Author(s):  
Fredrikke Christie Knudtzen ◽  
Thøger Gorm Jensen ◽  
Susan Olaf Lindvig ◽  
Line Dahlerup Rasmussen ◽  
Lone Wulff Madsen ◽  
...  
Keyword(s):  
Cohort Study ◽  
Viral Load ◽  
Hospital Admission ◽  
Disease Severity ◽  
Prospective Cohort Study ◽  
Symptom Onset ◽  
Prospective Cohort ◽  
Severe Disease ◽  
Adult Patients ◽  
Hospitalised Patients

Introduction We aimed to examine if severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) polymerase chain reaction (PCR) cycle quantification (Cq) value, as a surrogate for SARS-CoV-2 viral load, could predict hospitalisation and disease severity in adult patients with coronavirus disease 2019 (COVID-19). Methods We performed a prospective cohort study of adult patients with PCR positive SARS-CoV-2 airway samples including all out-patients registered at the Department of Infectious Diseases, Odense University Hospital (OUH) March 9-March 17 2020, and all hospitalised patients at OUH March 10-April 21 2020. To identify associations between Cq-values and a) hospital admission and b) a severe outcome, logistic regression analyses were used to compute odds ratios (OR) and 95% Confidence Intervals (CI), adjusting for confounding factors (aOR). Results We included 87 non-hospitalised and 82 hospitalised patients. The median baseline Cq-value was 25.5 (interquartile range 22.3–29.0). We found a significant association between increasing Cq-value and hospital-admission in univariate analysis (OR 1.11, 95% CI 1.04–1.19). However, this was due to an association between time from symptom onset to testing and Cq-values, and no association was found in the adjusted analysis (aOR 1.08, 95% CI 0.94–1.23). In hospitalised patients, a significant association between lower Cq-values and higher risk of severe disease was found (aOR 0.89, 95% CI 0.81–0.98), independent of timing of testing. Conclusions SARS-CoV-2 PCR Cq-values in outpatients correlated with time after symptom onset, but was not a predictor of hospitalisation. However, in hospitalised patients lower Cq-values were associated with higher risk of severe disease.

scholarly journals Predictive value of the neutrophil to lymphocyte ratio for disease deterioration and serious adverse outcomes in patients with COVID-19: a prospective cohort study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhi-Yong Zeng ◽  
Shao-Dan Feng ◽  
Gong-Ping Chen ◽  
Jiang-Nan Wu
Keyword(s):  
Cohort Study ◽  
Hospital Admission ◽  
Clinical Outcomes ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Characteristic Curve ◽  
Adverse Outcomes ◽  
Neutrophil To Lymphocyte Ratio ◽  
Predictive Values ◽  
Lymphocyte Ratio

Abstract Background Early identification of patients who are at high risk of poor clinical outcomes is of great importance in saving the lives of patients with novel coronavirus disease 2019 (COVID-19) in the context of limited medical resources. Objective To evaluate the value of the neutrophil to lymphocyte ratio (NLR), calculated at hospital admission and in isolation, for the prediction of the subsequent presence of disease progression and serious clinical outcomes (e.g., shock, death). Methods We designed a prospective cohort study of 352 hospitalized patients with COVID-19 between January 9 and February 26, 2020, in Yichang City, Hubei Province. Patients with an NLR equal to or higher than the cutoff value derived from the receiver operating characteristic curve method were classified as the exposed group. The primary outcome was disease deterioration, defined as an increase of the clinical disease severity classification during hospitalization (e.g., moderate to severe/critical; severe to critical). The secondary outcomes were shock and death during the treatment. Results During the follow-up period, 51 (14.5%) patients’ conditions deteriorated, 15 patients (4.3%) had complicated septic shock, and 15 patients (4.3%) died. The NLR was higher in patients with deterioration than in those without deterioration (median: 5.33 vs. 2.14, P < 0.001), and higher in patients with serious clinical outcomes than in those without serious clinical outcomes (shock vs. no shock: 6.19 vs. 2.25, P < 0.001; death vs. survival: 7.19 vs. 2.25, P < 0.001). The NLR measured at hospital admission had high value in predicting subsequent disease deterioration, shock and death (all the areas under the curve > 0.80). The sensitivity of an NLR ≥ 2.6937 for predicting subsequent disease deterioration, shock and death was 82.0% (95% confidence interval, 69.0 to 91.0), 93.3% (68.0 to 100), and 92.9% (66.0 to 100), and the corresponding negative predictive values were 95.7% (93.0 to 99.2), 99.5% (98.6 to 100) and 99.5% (98.6 to 100), respectively. Conclusions The NLR measured at admission and in isolation can be used to effectively predict the subsequent presence of disease deterioration and serious clinical outcomes in patients with COVID-19.

scholarly journals Impact of antibiotics for children presenting to general practice with cough on adverse outcomes: secondary analysis from a multicentre prospective cohort study

2018 ◽  
Vol 68 (675) ◽  
pp. e682-e693 ◽  
Author(s):  
Niamh M Redmond ◽  
Sophie Turnbull ◽  
Beth Stuart ◽  
Hannah V Thornton ◽  
Hannah Christensen ◽  
...  
Keyword(s):  
Primary Care ◽  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Respiratory Symptoms ◽  
Linear Models ◽  
Secondary Analysis ◽  
Adverse Outcomes ◽  
Antibiotic Prescribing ◽  
Acute Cough

BackgroundClinicians commonly prescribe antibiotics to prevent major adverse outcomes in children presenting in primary care with cough and respiratory symptoms, despite limited meaningful evidence of impact on these outcomes.AimTo estimate the effect of children’s antibiotic prescribing on adverse outcomes within 30 days of initial consultation.Design and settingSecondary analysis of 8320 children in a multicentre prospective cohort study, aged 3 months to <16 years, presenting in primary care across England with acute cough and other respiratory symptoms.MethodBaseline clinical characteristics and antibiotic prescribing data were collected, and generalised linear models were used to estimate the effect of antibiotic prescribing on adverse outcomes within 30 days (subsequent hospitalisations and reconsultation for deterioration), controlling for clustering and clinicians’ propensity to prescribe antibiotics.ResultsSixty-five (0.8%) children were hospitalised and 350 (4%) reconsulted for deterioration. Clinicians prescribed immediate and delayed antibiotics to 2313 (28%) and 771 (9%), respectively. Compared with no antibiotics, there was no clear evidence that antibiotics reduced hospitalisations (immediate antibiotic risk ratio [RR] 0.83, 95% confidence interval [CI] = 0.47 to 1.45; delayed RR 0.70, 95% CI = 0.26 to 1.90, overall P = 0.44). There was evidence that delayed (rather than immediate) antibiotics reduced reconsultations for deterioration (immediate RR 0.82, 95% CI = 0.65 to 1.07; delayed RR 0.55, 95% CI = 0.34 to 0.88, overall P = 0.024).ConclusionMost children presenting with acute cough and respiratory symptoms in primary care are not at risk of hospitalisation, and antibiotics may not reduce the risk. If an antibiotic is considered, a delayed antibiotic prescription may be preferable as it is likely to reduce reconsultation for deterioration.

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