A Novel Approach to Gathering and Acting on Relevant Clinical Information: SCAMPs

The current tools to adequately inform the process of improving health-care delivery consist primarily of retrospective studies, prospective trials, and clinical practice guidelines. We propose a novel and systematic approach that bridges the gap of our current tools to affect change, provides an infrastructure to improve health-care delivery, and identifies unnecessary resource utilization. The objective of this special article is to introduce the rationale and methods for this endeavor entitled “Standardized Clinical Assessment and Management Plans” (SCAMPs). SCAMPs take a relatively heterogeneous patient population and through a process of iterative analysis and modification of standardized assessment and management algorithms, SCAMPs allow the intrinsic biologic variability in a patient population to emerge and be understood. SCAMPs can be used to complement our currently available tools in order to result in incremental and sustained improvement in health-care delivery.     

Quantification of artistic style through sparse coding analysis in the drawings of Pieter Bruegel the Elder

Recently, statistical techniques have been used to assist art historians in the analysis of works of art. We present a novel technique for the quantification of artistic style that utilizes a sparse coding model. Originally developed in vision research, sparse coding models can be trained to represent any image space by maximizing the kurtosis of a representation of an arbitrarily selected image from that space. We apply such an analysis to successfully distinguish a set of authentic drawings by Pieter Bruegel the Elder from another set of well-known Bruegel imitations. We show that our approach, which involves a direct comparison based on a single relevant statistic, offers a natural and potentially more germane alternative to wavelet-based classification techniques that rely on more complicated statistical frameworks. Specifically, we show that our model provides a method capable of discriminating between authentic and imitation Bruegel drawings that numerically outperforms well-known existing approaches. Finally, we discuss the applications and constraints of our technique.     

Alloantibodies against low-frequency human platelet antigens do not account for a significant proportion of cases of fetomaternal alloimmune thrombocytopenia: evidence from 1054 cases

BACKGROUND: Maternal alloantibodies against the five common human platelet antigen (HPA) systems (HPA-1 to -3, -5, and -15) are found in only 20% of cases referred for fetal and neonatal thrombocytopenia (FMAIT) investigations. The question asked was whether mismatches for the remaining 11 low-frequency HPAs (HPA-4 and -6bw to -17bw) might in part explain the remaining 80% of cases.
STUDY DESIGN AND METHODS: A total of 1054 paternal DNA samples from referred FMAIT cases (among which 223 cases where antibodies against a common HPA were found) were genotyped for 11 low-frequency HPAs as well as a recently discovered polymorphism ( ITGA2B -C2320T). The initial genotyping was carried out by TaqMan and potential heterozygotes were confirmed by DNA sequencing. Clinical and serologic data were collected for each case with a heterozygote father.
RESULTS: In total, eight heterozygous fathers were identified: four for HPA-6w, one each for HPA-10w and -11w, and two for HPA-12w. Maternal antibodies against the corresponding antigen were identified in four of the eight cases. In two of these cases, antibodies against HPA-1a and HPA-1b were also found.
CONCLUSION: It was concluded that the minor alleles of HPA-4 and -6bw to -17bw are exceptionally rare in the Caucasian population and therefore do not explain the large number of FMAIT referrals which test negative for the common HPA antibodies.