PubMed · 15960192
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Roy Midyett. 2005. Ten instruments that changed the lab.. https://pubmed.ncbi.nlm.nih.gov/15960192/
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Although measurement of serum thyroid-stimulating hormone (TSH) is the single best test to diagnose thyroid disorders and monitor treatment, there are certain situations in which the TSH level cannot be used as a guideline. In the diagnosis of children with hypopituitary hypothyroidism, TSH is often "inappropriately" normal. Treatment is aimed at adjusting the l-thyroxine dose to maintain the serum free thyroxine (T4) in the upper half of the normal range for age. In children with Graves' disease, serum TSH can be suppressed for several months after a euthyroid state is restored, so the clinician must rely on serum free T4 and triiodothyronine (T3) levels. Up to 30% of infants and 10% of children with congenital hypothyroidism have a mildly elevated TSH level despite other indications that the thyroid hormone dosage is correct. Such resistance to thyroid hormone at the pituitary gland diminishes with age. Pregnancy is another condition in which serum TSH levels are altered (slightly lower); in this situation, it is the result of elevated human chorionic gonadotropin levels that cross-react with the TSH receptor. This alteration must be taken into account when diagnosing or treating maternal thyroid disorders during pregnancy.
The diagnostic approach and the clinical management of critically ill patients is challenging. The recognition of biomarkers related to in-hospital mortality is of importance for identification of patients at increased risk of death. Many prediction models assessing the severity of illness and likelihood of hospital survival were developed using logistic regression analyses. These models include several laboratory parameters, such as white blood cell counts, serum bilirubin, serum albumin, blood glucose, serum electrolytes and markers which reflect acid-base disturbances. Recently, several other biomarkers, including troponin, B-type natriuretic peptide (BNP), N-terminal proBNP, C-reactive protein, procalcitonin, cholesterol and coagulation related markers have emerged as clinically useful tools for risk stratification and mortality prediction of heterogeneous and more specific subgroups of critically ill patients. More investigations are required to verify whether risk stratification based on mortality-related biomarkers may translate into targeted treatment strategies to improve clinical outcome of the critical illness. Biomarkers which are related to in-hospital mortality are highlighted in the current review.
BACKGROUND: The importance of clinical risk factors for postoperative pulmonary complications and the value of preoperative testing to stratify risk are the subject of debate. PURPOSE: To systematically review the literature on preoperative pulmonary risk stratification before noncardiothoracic surgery. DATA SOURCES: MEDLINE search from 1 January 1980 through 30 June 2005 and hand search of the bibliographies of retrieved articles. STUDY SELECTION: English-language studies that reported the effect of patient- and procedure-related risk factors and laboratory predictors on postoperative pulmonary complication rates after noncardiothoracic surgery and that met predefined inclusion criteria. DATA EXTRACTION: The authors used standardized abstraction instruments to extract data on study characteristics, hierarchy of research design, study quality, risk factors, and laboratory predictors. DATA SYNTHESIS: The authors determined random-effects pooled estimate odds ratios and, when appropriate, trim-and-fill estimates for patient- and procedure-related risk factors from studies that used multivariable analyses. They assigned summary strength of evidence scores for each factor. Good evidence supports patient-related risk factors for postoperative pulmonary complications, including advanced age, American Society of Anesthesiologists class 2 or higher, functional dependence, chronic obstructive pulmonary disease, and congestive heart failure. Good evidence supports procedure-related risk factors for postoperative pulmonary complications, including aortic aneurysm repair, nonresective thoracic surgery, abdominal surgery, neurosurgery, emergency surgery, general anesthesia, head and neck surgery, vascular surgery, and prolonged surgery. Among laboratory predictors, good evidence exists only for serum albumin level less than 30 g/L. Insufficient evidence supports preoperative spirometry as a tool to stratify risk. LIMITATIONS: For certain risk factors and laboratory predictors, the literature provides only unadjusted estimates of risk. Prescreening, variable selection algorithms, and publication bias limited reporting of risk factors among studies using multivariable analysis. CONCLUSIONS: Selected clinical and laboratory factors allow risk stratification for postoperative pulmonary complications after noncardiothoracic surgery.