1.Pooled Analysis of the Cow's Milk-related-Symptom-Score (CoMiSS™) as a Predictor for Cow's Milk Related Symptoms.
Yvan VANDENPLAS ; Philippe STEENHOUT ; Anette JÄRVI ; Anne Sophie GARREAU ; Rajat MUKHERJEE
Pediatric Gastroenterology, Hepatology & Nutrition 2017;20(1):22-26
		                        		
		                        			
		                        			PURPOSE: The diagnosis of cow's milk (CM) allergy is a challenge. The Cow's Milk-related-Symptom-Score (CoMiSS™) was developed to offer primary health care providers a reliable diagnostic tool for CM related symptoms. The predictive prospective value of the CoMiSS™ was evaluated in three clinical trials. METHODS: Pooled analyses of the three studies were conducted based on regressing the results of the month-1 challenge test on the month-1 CoMiSS™, adjusting for baseline CoMiSS™ using a logistic regression model. In addition a logistic regression model was also fitted to the month-1 challenge test result with the change in CoMiSS™ from baseline as a predictor. RESULTS: Results suggest that infants having a low CoMiSS™ (median, 5) after 1 month dietary treatment free from intact CM protein have a significant risk of having a positive challenge test (odds ratio, 0.83; 95% confidence interval, 0.75-0.93; p=0.002). Pooled data suggest that the change in CoMiSS™ from baseline to month-1 can predict CM related symptoms as a confirmed diagnosis according to the challenge test at month-1. However, in order to validate such a tool, infants without CM related symptoms would also need to be enrolled in a validation trial. A concern is that it may not be ethical to expose healthy infants to a therapeutic formula and a challenge test. CONCLUSION: Pooled data analysis emphasizes that the CoMiSS™ has the potential to be of interest in infants suspected to have CM-related-symptoms. A prospective validation trial is needed.
		                        		
		                        		
		                        		
		                        			Diagnosis
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		                        			Humans
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		                        			Hypersensitivity
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		                        			Infant
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		                        			Logistic Models
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		                        			Milk*
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		                        			Primary Health Care
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		                        			Prospective Studies
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		                        			Statistics as Topic
		                        			
		                        		
		                        	
            
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