scholarly journals Lyme neuroborreliosis epidemiology in Sweden 2010 to 2014: clinical microbiology laboratories are a better data source than the hospital discharge diagnosis register

2019 ◽  
Vol 24 (20) ◽  
Author(s):  
Viktor Dahl ◽  
Karin T Wisell ◽  
Christian G Giske ◽  
Anders Tegnell ◽  
Anders Wallensten
Keyword(s):  
Hospital Discharge ◽  
Lyme Borreliosis ◽  
Clinical Microbiology ◽  
Personal Identification ◽  
Lyme Neuroborreliosis ◽  
Epidemiological Surveillance ◽  
Clinical Microbiology Laboratory ◽  
Hospital Discharge Register ◽  
The European Union ◽  
Icd 10

Background In a study from 2013 that prioritised communicable diseases for surveillance in Sweden, we identified Lyme borreliosis as one of the diseases with highest priority. In 2014, when the present study was designed, there were also plans to make neuroborreliosis notifiable within the European Union. Aim We compared possibilities of surveillance of neuroborreliosis in Sweden through two different sources: the hospital discharge register and reporting from the clinical microbiology laboratories. Methods We examined the validity of ICD-10 codes in the hospital discharge register by extracting personal identification numbers for all cases of neuroborreliosis, defined by a positive cerebrospinal fluid–serum anti-Borrelia antibody index, who were diagnosed at the largest clinical microbiology laboratory in Sweden during 2014. We conducted a retrospective observational study with a questionnaire sent to all clinical microbiology laboratories in Sweden requesting information on yearly number of cases, age group and sex for the period 2010 to 2014. Results Among 150 neuroborreliosis cases, 67 (45%) had received the ICD-10 code A69.2 (Lyme borreliosis) in combination with G01.9 (meningitis in bacterial diseases classified elsewhere), the combination that the Swedish National Board of Health and Welfare recommends for neuroborreliosis. All 22 clinical laboratories replied to our questionnaire. Based on laboratory reporting, the annual incidence of neuroborreliosis in Sweden was 6.3 cases per 100,000 in 2014. Conclusion The hospital discharge register was unsuitable for surveillance of neuroborreliosis, whereas laboratory-based reporting was a feasible alternative. In 2018, the European Commission included Lyme neuroborreliosis on the list of diseases under epidemiological surveillance.

scholarly journals Decrease in Enteroviral Meningitis - An Unexpected Benefit of COVID-19 Mitigation?

2020 ◽  
Author(s):  
Kami D Kies ◽  
Amber S Thomas ◽  
Matthew J Binnicker ◽  
Kelli L Bashynski ◽  
Robin Patel
Keyword(s):  
Cerebrospinal Fluid ◽  
Laboratory Testing ◽  
Clinical Microbiology ◽  
Late Summer ◽  
Mitigation Strategies ◽  
Clinical Microbiology Laboratory ◽  
Microbiology Laboratory ◽  
Testing Data ◽  
Early Fall ◽  
Enteroviral Meningitis

Abstract Enteroviral meningitis is seasonal, typically exhibiting a rise in prevalence in late summer/early fall. Based on clinical microbiology laboratory testing data of cerebrospinal fluid, the expected August/September/October peak in enteroviral meningitis did not occur in 2020, possibly related to COVID-19 mitigation strategies.

scholarly journals Implementation and evaluation of a novel real-time multiplex assay for SARS-CoV-2: in-field learnings from a clinical microbiology laboratory

Pathology ◽  
2020 ◽  
Vol 52 (7) ◽  
pp. 754-759 ◽  
Author(s):  
Eloise Williams ◽  
Katherine Bond ◽  
Brian Chong ◽  
Dawn Giltrap ◽  
Malcolm Eaton ◽  
...  
Keyword(s):  
Real Time ◽  
Clinical Microbiology ◽  
Multiplex Assay ◽  
Clinical Microbiology Laboratory ◽  
Microbiology Laboratory

scholarly journals One Small Step for the Gram Stain, One Giant Leap for Clinical Microbiology

2016 ◽  
Vol 54 (6) ◽  
pp. 1416-1417 ◽  
Author(s):  
Richard B. Thomson
Keyword(s):  
Clinical Microbiology ◽  
Rapid Test ◽  
Error Rates ◽  
Clinical Microbiology Laboratory ◽  
Microbiology Laboratory ◽  
Gram Stain ◽  
Small Step ◽  
Link Type ◽  
Giant Leap

The Gram stain is one of the most commonly performed tests in the clinical microbiology laboratory, yet it is poorly controlled and lacks standardization. It was once the best rapid test in microbiology, but it is no longer trusted by many clinicians. The publication by Samuel et al. (J. Clin. Microbiol. 54:1442–1447, 2016,http://dx.doi.org/10.1128/JCM.03066-15) is a start for those who want to evaluate and improve Gram stain performance. In an age of emerging rapid molecular results, is the Gram stain still relevant? How should clinical microbiologists respond to the call to reduce Gram stain error rates?

scholarly journals Descriptive exploration of overdose codes in hospital and emergency department discharge data to inform development of drug overdose morbidity surveillance indicator definitions in ICD-10-CM

2021 ◽  
Vol 27 (S1) ◽  
pp. i27-i34
Author(s):  
Leigh M Tyndall Snow ◽  
Katelyn E Hall ◽  
Cody Custis ◽  
Allison L Rosenthal ◽  
Emilia Pasalic ◽  
...  
Keyword(s):  
Emergency Department ◽  
Adverse Effects ◽  
Drug Overdose ◽  
International Classification Of Diseases ◽  
Primary Diagnosis ◽  
Epidemiological Surveillance ◽  
Discharge Data ◽  
Aggregated Data ◽  
Data Coding ◽  
Icd 10

BackgroundIn October 2015, discharge data coding in the USA shifted to the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM), necessitating new indicator definitions for drug overdose morbidity. Amid the drug overdose crisis, characterising discharge records that have ICD-10-CM drug overdose codes can inform the development of standardised drug overdose morbidity indicator definitions for epidemiological surveillance.MethodsEight states submitted aggregated data involving hospital and emergency department (ED) discharge records with ICD-10-CM codes starting with T36–T50, for visits occurring from October 2015 to December 2016. Frequencies were calculated for (1) the position within the diagnosis billing fields where the drug overdose code occurred; (2) primary diagnosis code grouped by ICD-10-CM chapter; (3) encounter types; and (4) intents, underdosing and adverse effects.ResultsAmong all records with a drug overdose code, the primary diagnosis field captured 70.6% of hospitalisations (median=69.5%, range=66.2%–76.8%) and 79.9% of ED visits (median=80.7%; range=69.8%–88.0%) on average across participating states. The most frequent primary diagnosis chapters included injury and mental disorder chapters. Among visits with codes for drug overdose initial encounters, subsequent encounters and sequelae, on average 94.6% of hospitalisation records (median=98.3%; range=68.8%–98.8%) and 95.5% of ED records (median=99.5%; range=79.2%–99.8%), represented initial encounters. Among records with drug overdose of any intent, adverse effect and underdosing codes, adverse effects comprised an average of 74.9% of hospitalisation records (median=76.3%; range=57.6%–81.1%) and 50.8% of ED records (median=48.9%; range=42.3%–66.8%), while unintentional intent comprised an average of 11.1% of hospitalisation records (median=11.0%; range=8.3%–14.5%) and 28.2% of ED records (median=25.6%; range=20.8%–40.7%).ConclusionResults highlight considerations for adapting and standardising drug overdose indicator definitions in ICD-10-CM.

scholarly journals Demonstration of Cord Formation by Rough Mycobacterium abscessus Variants: Implications for the Clinical Microbiology Laboratory: Fig. 1.

2011 ◽  
Vol 49 (6) ◽  
pp. 2293-2295 ◽  
Author(s):  
Alejandro Sánchez-Chardi ◽  
Francesc Olivares ◽  
Thomas F. Byrd ◽  
Esther Julián ◽  
Cecilia Brambilla ◽  
...  
Keyword(s):  
Clinical Microbiology ◽  
Mycobacterium Abscessus ◽  
Clinical Microbiology Laboratory ◽  
Microbiology Laboratory

scholarly journals Applications of Flow Cytometry to Clinical Microbiology

2000 ◽  
Vol 13 (2) ◽  
pp. 167-195 ◽  
Author(s):  
Alberto Álvarez-Barrientos ◽  
Javier Arroyo ◽  
Rafael Cantón ◽  
César Nombela ◽  
Miguel Sánchez-Pérez
Keyword(s):  
Flow Cytometry ◽  
Clinical Microbiology ◽  
Ex Vivo ◽  
Analytical Techniques ◽  
Clinical Samples ◽  
Clinical Microbiology Laboratory ◽  
Commercial Kits ◽  
Antimicrobial Treatments ◽  
Near Future

SUMMARY Classical microbiology techniques are relatively slow in comparison to other analytical techniques, in many cases due to the need to culture the microorganisms. Furthermore, classical approaches are difficult with unculturable microorganisms. More recently, the emergence of molecular biology techniques, particularly those on antibodies and nucleic acid probes combined with amplification techniques, has provided speediness and specificity to microbiological diagnosis. Flow cytometry (FCM) allows single- or multiple-microbe detection in clinical samples in an easy, reliable, and fast way. Microbes can be identified on the basis of their peculiar cytometric parameters or by means of certain fluorochromes that can be used either independently or bound to specific antibodies or oligonucleotides. FCM has permitted the development of quantitative procedures to assess antimicrobial susceptibility and drug cytotoxicity in a rapid, accurate, and highly reproducible way. Furthermore, this technique allows the monitoring of in vitro antimicrobial activity and of antimicrobial treatments ex vivo. The most outstanding contribution of FCM is the possibility of detecting the presence of heterogeneous populations with different responses to antimicrobial treatments. Despite these advantages, the application of FCM in clinical microbiology is not yet widespread, probably due to the lack of access to flow cytometers or the lack of knowledge about the potential of this technique. One of the goals of this review is to attempt to mitigate this latter circumstance. We are convinced that in the near future, the availability of commercial kits should increase the use of this technique in the clinical microbiology laboratory.

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