Zisovska, Elizabeta (2018) Scoring systems in neonatal medicine and detection of risks. In: Balkan School for Pediatricians, 12-15 Sept 2018, Skopje, Macedonia.
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Abstract
Medical scores, criteria and classification systems support clinical decision-making and management. They enable the clinician to predict the outcome, stratify risk, assess conditions and diagnose diseases accurately[1]. Scoring systems involve using appropriately weighted demographic, physiological, and clinical data collected on the infant to calculate a score that quantifies its morbidity.
The most used scores in neonatal practice are:
-immediate assessment of the newborn: APGAR score and assessment of the gestational age
-morbidity scores: sepsis score, pain score, Silverman score, morbidity score, danger signs of illness, Sarnat&Sarnat classification, Finnegan score;
-prognostic scores: CRIB score, SNAP-Pe score, MAIN score, perinatal risk score and
-scores for behavior and attachment (Brazelton NBAS score).
Although there are many scoring systems and scales for detecting risks in neonates, none of them is of unique value, and still the clinicians’ opinion is the leading force in assessment, treatment and prediction of the neonatal outcome. All of them should be used consciously and in accordance with other determinants of health.
Key words: newborn, morbidity, mortality, disease, hypoxic-ischaemic encephalopathy.
Item Type: | Conference or Workshop Item (Speech) |
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Subjects: | Medical and Health Sciences > Clinical medicine |
Divisions: | Faculty of Medical Science |
Depositing User: | Elizabeta Zisovska |
Date Deposited: | 04 Oct 2018 08:38 |
Last Modified: | 04 Oct 2018 08:38 |
URI: | https://eprints.ugd.edu.mk/id/eprint/20444 |
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