Predictors of major toxicity after theophylline overdose. 1993

M Shannon
Children's Hospital, Harvard Medical School, Boston, Massachusetts.

OBJECTIVE To identify patients at high risk for major toxicity after theophylline intoxication who might benefit from early charcoal hemoperfusion. METHODS A 67-month prospective study. METHODS Massachusetts Poison Control System. METHODS 249 consecutive patients referred after theophylline intoxication (defined by a peak serum theophylline concentration > or = 167 mumol/L [30 mg/L]). METHODS Uniform, protocol-directed management recommendations. METHODS Identification of risk factors for major toxicity. RESULTS 119 patients (48%) not receiving theophylline therapy had acute intoxication; among those receiving such therapy, 92 (37%) had theophylline intoxication because of chronic overmedication and 38 (15%) had acute intoxication. Major toxicity developed in 62 patients (25%); 13 patients (5%) died. Major toxicity was more common in patients with intoxication due to chronic overmedication than in those with acute intoxication who were not receiving theophylline therapy (49% compared with 10%, risk ratio, 4.85; 95% CI, 2.96 to 7.94), even though the former group had lower peak serum theophylline concentrations (283 mumol/L compared with 777 mumol/L, P = 0.001). Logistic regression analysis identified two major factors associated with the development of major toxicity: 1) peak serum theophylline concentrations in cases of acute intoxication and 2) patient age in cases of chronic overmedication. Receiver-operating characteristic curve analysis indicated that major toxicity occurred in patients with a peak serum theophylline concentration of greater than 555 mumol/L (100 mg/L) after acute intoxication and in patients older than 60 years (regardless of peak serum theophylline concentration) after chronic overmedication. CONCLUSIONS Predictors for major toxicity after theophylline intoxication differ by type of overdose.

UI MeSH Term Description Entries
D008508 Medication Errors Errors in prescribing, dispensing, or administering medication with the result that the patient fails to receive the correct drug or the indicated proper drug dosage. Drug Use Error,Errors, Medication,High-Alert Drug Error,High-Alert Medication Error,LASA Medication Errors,Look-Alike Drug Name Errors,Look-Alike Sound-Alike Drug Errors,Look-Alike Sound-Alike Drug Substitution Errors,Look-Alike Sound-Alike Medication Errors,Lookalike Drug Name Errors,Lookalike Soundalike Drug Errors,Lookalike Soundalike Drug Substitution Errors,Lookalike Soundalike Medication Errors,Drug Error, High-Alert,Drug Use Errors,Error, Drug Use,Error, LASA Medication,Error, Medication,High Alert Drug Error,High Alert Medication Error,High-Alert Drug Errors,High-Alert Medication Errors,LASA Medication Error,Look Alike Drug Name Errors,Look Alike Sound Alike Drug Errors,Look Alike Sound Alike Drug Substitution Errors,Look Alike Sound Alike Medication Errors,Medication Error,Medication Error, High-Alert,Medication Error, LASA,Medication Errors, High-Alert,Medication Errors, LASA
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D011446 Prospective Studies Observation of a population for a sufficient number of persons over a sufficient number of years to generate incidence or mortality rates subsequent to the selection of the study group. Prospective Study,Studies, Prospective,Study, Prospective
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D002908 Chronic Disease Diseases which have one or more of the following characteristics: they are permanent, leave residual disability, are caused by nonreversible pathological alteration, require special training of the patient for rehabilitation, or may be expected to require a long period of supervision, observation, or care (Dictionary of Health Services Management, 2d ed). For epidemiological studies chronic disease often includes HEART DISEASES; STROKE; CANCER; and diabetes (DIABETES MELLITUS, TYPE 2). Chronic Condition,Chronic Illness,Chronically Ill,Chronic Conditions,Chronic Diseases,Chronic Illnesses,Condition, Chronic,Disease, Chronic,Illness, Chronic
D006464 Hemoperfusion Removal of toxins or metabolites from the circulation by the passing of blood, within a suitable extracorporeal circuit, over semipermeable microcapsules containing adsorbents (e.g., activated charcoal) or enzymes, other enzyme preparations (e.g., gel-entrapped microsomes, membrane-free enzymes bound to artificial carriers), or other adsorbents (e.g., various resins, albumin-conjugated agarose). Hemosorption,Hemoperfusions,Hemosorptions
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000208 Acute Disease Disease having a short and relatively severe course. Acute Diseases,Disease, Acute,Diseases, Acute
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults

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