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A z score (or standardized value) is measured in units of the standard deviation. It tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
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A z score (or standardized value) is measured in units of the standard deviation. It indicates how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
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z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
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The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
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The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
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A simple score to predict severe leptospirosis.

Simon Smith1,2, Brendan J Kennedy3,4, Alexis Dermedgoglou1

  • 1Department of Medicine, Cairns Hospital, Cairns, Queensland, Australia.

Plos Neglected Tropical Diseases
|February 14, 2019
PubMed
Summary
This summary is machine-generated.

A simple bedside score can identify patients at high risk of severe leptospirosis, enabling prompt transfer for advanced care. This tool is valuable in resource-limited settings for early intervention and improved survival rates.

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Area of Science:

  • Infectious Diseases
  • Clinical Medicine
  • Epidemiology

Background:

  • Severe leptospirosis has a high case-fatality rate, exceeding 50%.
  • Early supportive care improves survival, but predicting severe disease is difficult, especially with limited diagnostics.
  • Leptospirosis is a significant public health concern, particularly in resource-limited regions.

Purpose of the Study:

  • To develop and validate a simple clinical score to predict severe leptospirosis.
  • To identify key clinical predictors of severe disease at presentation.
  • To aid early identification and management of high-risk leptospirosis patients.

Main Methods:

  • Retrospective analysis of laboratory-confirmed leptospirosis cases in Far North Queensland, Australia (1998-2016).
  • Correlation of clinical, laboratory, and radiological findings at presentation with clinical outcomes.
  • Development of the three-point SPiRO score based on oliguria, abnormal respiratory auscultation, and hypotension.

Main Results:

  • Oliguria, abnormal respiratory auscultation, and hypotension independently predicted severe leptospirosis.
  • The SPiRO score demonstrated an increasing likelihood of severe disease with higher scores (p=0.0001).
  • A SPiRO score <1 had a high negative predictive value (97%) for severe disease.

Conclusions:

  • The SPiRO score is a simple, inexpensive bedside tool for rapidly identifying patients at risk of severe leptospirosis.
  • Early identification facilitates timely transfer to referral centers for advanced supportive care.
  • This score has significant utility in resource-limited settings for managing leptospirosis patients.