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Related Concept Videos

Methods of reducing fever01:22

Methods of reducing fever

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The signs and symptoms of fever include hot and dry skin, flushed face, thirst, muscle aches, anorexia, headache, tachycardia, tachypnea, and fatigue. Elevated body temperature is reduced using two methods: pharmacological and nonpharmacological. Proper identification and treatment of the root cause of a fever is of utmost importance.
Pharmacological Methods of Reducing Fever:
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Increased Body Temperature01:25

Increased Body Temperature

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A body temperature above  38°C  (100.4 °F) is known as fever or pyrexia, and a person with fever is termed 'febrile.' Typically, the hypothalamus, a part of the brain that acts as the body's thermostat, regulates body temperature through a thermoregulatory setpoint. It receives signals from cold and warm thermal receptors throughout the body and adjusts the body's temperature accordingly. Fever occurs when this hypothalamic setpoint is altered, usually in...
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Decreased Body Temperature01:29

Decreased Body Temperature

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A decreased body temperature can occur in patients with hypothermia and frostbite. Heat loss with extended cold exposure overpowers the body's ability to create heat, resulting in hypothermia. Core temperature readings help classify hypothermia. Mild hypothermia is temperatures between 32 °C (89.6 °F) and 35°C (95 °F) and is caused by impaired thermoregulation. Moderate hypothermia is temperatures between 28 C (82.4 °F) and 32 °C (89.6 °F) caused by...
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Homeostatic Imbalances in Body Temperature01:19

Homeostatic Imbalances in Body Temperature

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Hyperthermia occurs when the body's temperature becomes unusually high, often due to heat exposure, intense physical activity, or certain illnesses. This condition can create a dangerous cycle where elevated body temperature increases the metabolic rate, generating more heat and potentially leading to organ failure and brain damage. A severe form of hyperthermia, called heat stroke, can raise body temperature to life-threatening levels. Fever, on the other hand, is a controlled form of...
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Strength and Heat of Hydration01:29

Strength and Heat of Hydration

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The hydration of cement is an exothermic reaction in which heat is generated as cement hydrates. This heat of hydration is critical to cement's strength development. The rate at which this heat is generated affects the temperature rise, with a majority of the heat being released early in the hydration process, half within the first three days, and about 75% within the first week.
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Burn Injuries01:22

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Burn injuries occur when the skin and underlying tissues are damaged due to exposure to heat, electricity, chemicals, radiation, or friction. They can vary in severity, from minor superficial burns to severe deep burns that can be life-threatening.
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A Preclinical Model of Exertional Heat Stroke in Mice
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A NOMOGRAM FOR PREDICTING PATIENTS WITH SEVERE HEATSTROKE.

Dongyue Wei1, Tijun Gu2, Chunhua Yi2

  • 1Department of Pediatrics, The Affiliated Changzhou NO.2 People's Hospital of Nanjing Medical University, Jiangsu, China.

Shock (Augusta, Ga.)
|August 11, 2022
PubMed
Summary
This summary is machine-generated.

A new nomogram model accurately predicts severe heatstroke patient survival within 10 and 30 days. This tool helps clinicians assess risk and personalize treatment for better patient outcomes.

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Area of Science:

  • Critical Care Medicine
  • Environmental Health
  • Clinical Prediction Modeling

Background:

  • Severe heatstroke lacks predictive models for patient prognosis.
  • Clinicians need tools to identify high-risk individuals and tailor treatments.
  • Existing models do not adequately predict mortality in severe heatstroke cases.

Purpose of the Study:

  • To develop and validate a predictive model for severe heatstroke patient mortality.
  • To establish a nomogram for individualized risk assessment and treatment planning.
  • To compare the predictive performance of the new model against the APACHE II score.

Main Methods:

  • Retrospective analysis of 115 severe heatstroke patients for model development.
  • External validation using data from 84 additional patients.
  • Analysis of hematological parameters, including liver/renal function and coagulation markers.
  • Screening risk factors using LASSO and Cox regression; nomogram construction.
  • Evaluation using ROC curves, decision curve analysis, and calibration curves.

Main Results:

  • Key predictors identified: neutrophil/lymphocyte ratio, PLT, troponin I, CK-MB, LDH, albumin, D-dimer, and APACHE-II scores.
  • The developed nomogram demonstrated superior predictive power over APACHE II (AUCs 0.905-0.918 vs. APACHE II).
  • External validation confirmed the model's accuracy (AUCs 0.908-0.930).
  • The model showed significant improvements in integrated discrimination and net reclassification compared to APACHE II.

Conclusions:

  • A simple nomogram effectively predicts 10- and 30-day survival in severe heatstroke patients.
  • The model aids in clinical risk evaluation and decision-making.
  • This tool supports individualized patient management and improves prognostic accuracy.