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J Sutton

Publications and source records attributed to J Sutton.

At least 55 records · Page 3Linked to original sources
PubMedDate not supplied

Use of the nursing minimum data set to describe nursing interventions for select nursing diagnoses and related factors in an acute care setting.

This study describes the prevalence of nursing interventions across six nursing diagnoses and their related factors using the framework of the Nursing Minimum Data Set (NMDS). Six nursing diagnoses (pain, potential for injury, anxiety, decreased cardiac output, potential for infection, and knowledge deficit) were among the most prevalent in an acute care setting studied in 1991. The NMDS and a nursing information system using standardized classification systems for nursing diagnoses and interventions provided an opportunity to describe nursing practice. Multiple related factors were identified across all six nursing diagnoses; three or four were selected frequently within each diagnostic category. The related factors also influenced the selection of interventions. Implications for the development of nursing classification systems and recommendations for further research are described.

Acute Disease↗
PubMedDate not supplied

Morphometric differences between cytologically benign and malignant serous effusions.

The morphometric differences between benign and malignant serous effusions, as diagnosed by standard cytologic criteria in 95 unselected cases (50 benign and 45 malignant), were studied using the IBAS semi-automated image analysis system, which calculates various parameters from tracings of cellular and nuclear outlines. Fourteen cases were also stained for cytokeratin proteins (with the CAM 5.2 antibody) by the immunoperoxidase technique and reanalyzed for positive cells. Significant differences were found for mean values between cytologically benign and malignant cases for cellular and nuclear areas, perimeters and maximum diameters, but not for two form factors. Some differences were enhanced in the CAM 5.2-stained cases. Real morphometric differences in samples of cells from benign and malignant cases are the basis of cytologic diagnosis. Fully automated diagnostic systems could operate on arbitrary threshold values, but there is considerable overlap in specimen means for all parameters between benign and malignant cases.

Adult↗