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1.
Infection ; 41(1): 237-41, 2013 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-22930069

RESUMEN

We present a case of hand infection caused by Mycobacterium chelonae. The patient was a 58-year-old woman with Type II diabetes mellitus and stage 4 chronic kidney disease. The infection occurred following a ferret bite and had not responded to oral antibiotics in the primary care setting. She developed signs of pyogenic flexor tenosynovitis of the index and middle fingers of her left hand. Laboratory parameters showed high C-reactive protein, raised erythrocyte sedimentation rate and leucocytosis. Ultrasound imaging confirmed the clinical diagnosis. Plain radiographs showed no osseous involvement. The infection was treated with surgical debridement and broad spectrum parenteral antibiotics. The intra-operative tissue specimens were initially negative on aerobic and anaerobic cultures. Following transient improvement of her inflammatory parameters and clinical signs, she developed a recurrence with added features of osteomyelitis of the index and middle finger metacarpal heads on repeat radiographs. A revision surgical debridement of the flexor tenosynovitis and osteomyelitis with specific long-term antibiotic cover has led to resolution of the infection. Extended cultures of the tissue specimens at the regional laboratory confirmed the causative organism to be M. chelonae. To our knowledge, this is the first reported case of M. chelonae infection resulting from a ferret bite. This case reminds us of the need for a high index of suspicion for infection with uncommon pathogens following animal bites, especially in patients with altered immune status.


Asunto(s)
Mordeduras y Picaduras/complicaciones , Hurones , Traumatismos de la Mano/etiología , Traumatismos de la Mano/microbiología , Infecciones por Mycobacterium no Tuberculosas/complicaciones , Mycobacterium chelonae , Animales , Femenino , Traumatismos de la Mano/diagnóstico , Traumatismos de la Mano/terapia , Humanos , Persona de Mediana Edad , Infecciones por Mycobacterium no Tuberculosas/diagnóstico , Infecciones por Mycobacterium no Tuberculosas/terapia , Resultado del Tratamiento
2.
J Orthop Surg (Hong Kong) ; 14(2): 172-7, 2006 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-16914783

RESUMEN

PURPOSE: To measure the hand grip strength of Malaysians aged 18 to 65 years. METHODS: Between January and April 2003, 412 subjects (200 women and 212 men) were recruited from staff, students, and visitors of the University of Malaya Medical Centre. Socioeconomic, general health, and lifestyle data were collected from each subject using a standard questionnaire. Weight and height were measured prior to testing. Standardised positioning and instructions based on several hand grip protocols were used. Data were collected using the LIDO kinetic work set. RESULTS: 93% of the subjects were right-hand dominant and 7% were left-hand dominant. Hand grip strength was significantly correlated with hand dominance, gender, occupation, height, and weight, but not body mass index. No significant differences in grip strength were noted with regard to race or level of income. Men were stronger than women in all age-groups, with a ratio of 1.75:1. In both right- and left-hand dominant groups, the dominant hand was consistently stronger than the non-dominant side, with a ratio of 1.12:1 in the right-hand dominant group and 1.05:1 in the left-hand dominant group. The strongest hand grip strength in the right-hand dominant group occurred in the age-group of 25 to 34 years; in the left-hand dominant group it was in the age-group of 18 to 24 years. In western populations, the mean grip strength can be as much as 1.5 times greater than in the Malaysian population. CONCLUSION: Data derived from western populations cannot be applied to a comparable Malaysian population. Gender, hand dominance, age, occupation, weight, and height must be considered when establishing normal values for grip strength.


Asunto(s)
Fuerza de la Mano , Adolescente , Adulto , Anciano , Índice de Masa Corporal , Femenino , Humanos , Malasia , Masculino , Persona de Mediana Edad , Análisis de Regresión , Torque
3.
Br Dent J ; 228(11): 827, 2020 06.
Artículo en Inglés | MEDLINE | ID: mdl-32541736
4.
Arch Surg ; 124(7): 814-8, 1989 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-2742482

RESUMEN

Our accuracy in diagnosing 464 solid breast masses by fine-needle aspiration was enhanced by a statistically based algorithm for distinguishing between benign and malignant epithelial cells. Epithelial cells were obtained from 378 breast masses by fine-needle aspiration; nonepithelial cells considered diagnostic of benign conditions were obtained from 66 breast masses, and 19 aspirations were considered unsatisfactory. Excluding one benign cystosarcoma, the algorithm gave 3 false-negative diagnoses and 16 false-positive diagnoses with 211 benign and 167 malignant samples. The overall clinical performance measures for the 444 masses from which diagnostic fine-needle aspirations were obtained and excluding the cystosarcoma were 0.98 sensitivity, 0.94 specificity, and 0.92 positive predictability. Masses diagnosed as benign by fine-needle aspiration can be followed up clinically. Intraoperative frozen section is needed before definitive surgery to determine invasion and confirm the diagnosis of some cytologically malignant masses.


Asunto(s)
Biopsia con Aguja , Neoplasias de la Mama/diagnóstico , Algoritmos , Neoplasias de la Mama/patología , Femenino , Humanos , Valor Predictivo de las Pruebas
5.
Acta Cytol ; 31(6): 737-41, 1987.
Artículo en Inglés | MEDLINE | ID: mdl-3425134

RESUMEN

A statistical algorithm was used for recursively partitioning a consecutive series of 37 benign and 69 malignant fine needle aspirates to produce a decision tree for diagnosing breast masses. Optimal separation between benign and malignant cytology was accomplished by evaluating clump characteristics when clumps were present and evaluating cell integrity when clumps were absent. The 1.5% false-negative and 9.7% false-positive rates obtained through this scheme are better than those reported for most series.


Asunto(s)
Biopsia con Aguja , Neoplasias de la Mama/patología , Estadística como Asunto , Algoritmos , Reacciones Falso Positivas , Femenino , Humanos
6.
CPT Pharmacometrics Syst Pharmacol ; 3: e114, 2014 May 14.
Artículo en Inglés | MEDLINE | ID: mdl-24827872

RESUMEN

A systems pharmacology approach was undertaken to define and identify the proteins/genes significantly associated with clinical incidence and severity of drug-induced peripheral neuropathy (DIPN). Pharmacological networks of 234 DIPN drugs, their known targets (both intended and unintended), and the intermediator proteins/genes interacting with these drugs via their known targets were examined. A permutation test identified 230 DIPN-associated intermediators that were enriched with apoptosis and stress response genes. Neuropathy incidence and severity were curated from drug labels and literature and were used to build a predictive model of DIPN using a regression tree algorithm, based on the drug targets and their intermediators. DIPN drugs whose targets interacted with both v-myc avian myelocytomatosis viral oncogene homolog (MYC) and proliferating cell nuclear antigen-associated factor (PAF15) were associated with a neuropathy incidence of 38.1%, whereas drugs interacting only with MYC had an incidence of 2.9%. These results warrant further investigation in order to develop a predictive tool for the DIPN potential of a new drug.

7.
Biometrics ; 50(2): 471-85, 1994 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-8068846

RESUMEN

A method for fitting piecewise proportional hazards models to censored survival data is described. Stratification is performed recursively, using a combination of statistical tests and residual analysis. The bootstrap is employed to keep the probability of a Type I error (the error of discovering two or more strata when there is only one) of the method close to a predetermined value. The proposed method can thus also serve as a formal goodness-of-fit test for the proportional hazards model. Real and simulated data are used for illustration.


Asunto(s)
Trasplante de Corazón/estadística & datos numéricos , Trasplante de Hígado/estadística & datos numéricos , Modelos de Riesgos Proporcionales , Análisis de Supervivencia , Adulto , Factores de Edad , Trasplante de Corazón/mortalidad , Humanos , Trasplante de Hígado/mortalidad , Persona de Mediana Edad , Valor Predictivo de las Pruebas , Factores de Tiempo
8.
Anal Quant Cytol Histol ; 10(3): 225-8, 1988 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-3044383

RESUMEN

A comparison was made of four statistically based schemes for classifying epithelial cells from 243 fine needle aspirates of breast masses as benign or malignant. Two schemes were computer-generated decision trees and two were user generated. Eleven cytologic characteristics described in the literature as being useful in distinguishing benign from malignant breast aspirates were assessed on a scale of 1 to 10, with 1 being closest to that described as benign and 10 to that described as malignant. The original computer-generated dichotomous decision tree gave 6 false negatives and 12 false positives on the data set; another tree generated from the current data improved performance slightly, with 5 false negatives and 10 false positives. Maximum diagnostic overlap occurred at the cut-point of the original dichotomous tree. The insertion of a third node evaluating additional parameters resulted in one false negative and seven false positives. This performance was matched by summing the scores of the eight characteristics that individually were most effective in separating benign from malignant. We conclude that, while statistically designed, computer-generated dichotomous decision trees identify a starting sequence for applying cytologic characteristics to distinguish between benign and malignant breast aspirates, modifications based on human expert knowledge may result in schemes that improve diagnostic performance.


Asunto(s)
Biopsia con Aguja/métodos , Neoplasias de la Mama/diagnóstico , Diagnóstico por Computador/métodos , Neoplasias de la Mama/patología , Árboles de Decisión , Femenino , Humanos
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