Dataset Information

Identification of a novel enteric Helicobacter species in a kitten with severe diarrhea.

ABSTRACT: A previously undescribed Helicobacter sp. was recovered from a cat with severe diarrhea. Based upon the absence of any other identifiable cause of diarrhea, this helicobacter may be involved in the development of the disease signs. The organism could not be cultured but was described on the basis of 16S rRNA gene sequence analysis and morphology and appeared to be a new species, with Helicobacter canis being the most genetically similar species. The presence of a diarrhea-inducing helicobacter in a companion animal may pose a risk of zoonosis.

SUBMITTER: Foley JE

PROVIDER: S-EPMC104659 | biostudies-literature | 1998 Apr

REPOSITORIES: biostudies-literature

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Identification of a novel enteric Helicobacter species in a kitten with severe diarrhea.

Foley J E JE Solnick J V JV Lapointe J M JM Jang S S Pedersen N C NC

Journal of clinical microbiology 19980401 4

A previously undescribed Helicobacter sp. was recovered from a cat with severe diarrhea. Based upon the absence of any other identifiable cause of diarrhea, this helicobacter may be involved in the development of the disease signs. The organism could not be cultured but was described on the basis of 16S rRNA gene sequence analysis and morphology and appeared to be a new species, with Helicobacter canis being the most genetically similar species. The presence of a diarrhea-inducing helicobacter i ...[more]

PMID: 9542907

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Project description:BACKGROUND:Moderate-to-severe diarrhea (MSD) in the first 2?years of life can impair linear growth. We sought to determine risk factors for linear growth faltering and to build a clinical prediction tool to identify children most likely to experience growth faltering following an episode of MSD. METHODS:Using data from the Global Enteric Multicenter Study of children 0-23?months old presenting with MSD in Africa and Asia, we performed log-binomial regression to determine clinical and sociodemographic factors associated with severe linear growth faltering (loss of ??0.5 length-for-age z-score [LAZ]). Linear regression was used to estimate associations with ?LAZ. A clinical prediction tool was developed using backward elimination of potential variables, and Akaike Information Criterion to select the best fit model. RESULTS:Of the 5902 included children, mean age was 10?months and 43.2% were female. Over the 50-90-day follow-up period, 24.2% of children had severe linear growth faltering and the mean ?LAZ over follow-up was -?0.17 (standard deviation [SD] 0.54). After adjustment for age, baseline LAZ, and site, several factors were associated with decline in LAZ: young age, acute malnutrition, hospitalization at presentation, non-dysenteric diarrhea, unimproved sanitation, lower wealth, fever, co-morbidity, or an IMCI danger sign. Compared to children 12-23?months old, those 0-6?months were more likely to experience severe linear growth faltering (adjusted prevalence ratio [aPR] 1.97 [95% CI 1.70, 2.28]), as were children 6-12?months of age (aPR 1.72 [95% CI 1.51, 1.95]). A prediction model that included age, wasting, stunting, presentation with fever, and presentation with an IMCI danger sign had an area under the ROC (AUC) of 0.67 (95% CI 0.64, 0.69). Risk scores ranged from 0 to 37, and a cut-off of 21 maximized sensitivity (60.7%) and specificity (63.5%). CONCLUSION:Younger age, acute malnutrition, MSD severity, and sociodemographic factors were associated with short-term linear growth deterioration following MSD. Data routinely obtained at MSD may be useful to predict children at risk for growth deterioration who would benefit from interventions.

Dataset Information

Identification of a novel enteric Helicobacter species in a kitten with severe diarrhea.

Publications

Identification of a novel enteric Helicobacter species in a kitten with severe diarrhea.

Similar Datasets

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