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1.
Int Wound J ; 17(3): 790-803, 2020 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-32149471

RESUMO

The aim of this study is to evaluate the clinical and economic burden of wound care in the Tropics via a 5-year institutional population health review. Within our data analysis, wounds are broadly classified into neuro-ischaemic ulcers (NIUs), venous leg ulcers (VLUs), pressure injuries (PIs), and surgical site infections (SSIs). Between 2013 and 2017, there were a total of 56 583 wound-related inpatient admissions for 41 461 patients, with a 95.1% increase in wound episodes per 1000 inpatient admissions over this period (142 and 277 wound episodes per 1000 inpatient admissions in 2013 and 2017, respectively). In 2017, the average length of stay for each wound episode was 17.7 days, which was 2.4 times that of an average acute admission at our institution. The average gross charge per wound episode was USD $12 967. Among the 12 218 patients with 16 674 wound episodes in 2017, 71.5% were more than 65 years of age with an average Charlson Comorbidity Index (CCI) of 7.2. Half (51.9%) were moderately or severely frail, while 41.3% had two or more wound-related admission episodes. In 2017, within our healthcare cluster, the gross healthcare costs for all inpatient wound episodes stand at USD $216 million within hospital care and USD $596 000 within primary care. Most NIU patients (97.2%) had diabetes and they had the most comorbidities (average CCI 8.4) and were the frailest group of patients (44.9% severely frail). The majority of the VLU disease burden was at the specialist outpatient setting, with the average 1-year VLU recurrence rate at 52.5% and median time between healing and recurrence at 9.5 months. PI patients were the oldest (86.5% more than 65 years-old), constituted the largest cohort of patients with 3874 patients at an incidence of 64.6 per 1000 admissions in 2017, and have a 1-year all-cause mortality rate of 14.3%. For SSI patients, there was a 125% increase of 14.2 SSI wound episodes per 1000 inpatient admissions in 2013 to 32.0 in 2017, and a 413% increase in wound-related 30-day re-admissions, from 40 in 2013 (4.1% of all surgeries) to 205 (8.3% of all surgeries) in 2017. The estimated gross healthcare cost per patient ranges from USD $15789-17 761 across the wound categories. Similar to global data, there is a significant and rising trend in the clinical and economic burden of wound care in Tropics.


Assuntos
Efeitos Psicossociais da Doença , Custos de Cuidados de Saúde , Úlcera Cutânea/epidemiologia , Úlcera Cutânea/terapia , Infecção da Ferida Cirúrgica/terapia , Adulto , Idoso , Assistência Ambulatorial/economia , Feminino , Hospitalização/economia , Humanos , Masculino , Pessoa de Meia-Idade , Estudos Retrospectivos , Singapura , Úlcera Cutânea/economia , Infecção da Ferida Cirúrgica/economia , Cicatrização , Adulto Jovem
2.
J Diabetes ; 10(4): 296-301, 2018 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-28834603

RESUMO

BACKGROUND: The mean annual direct medical cost of type 2 diabetes mellitus (T2DM) in Singapore has been found to be SGD 2034 using the prevalence-based approach, but the lifetime direct medical cost of T2DM in Singapore remains largely unknown. The aim of the present study was to determine the lifetime direct medical cost attributable to T2DM and provide estimates of potential savings if T2DM can be prevented or delayed. METHODS: The incidence-based approach was used for the cost-of-illness analysis. Yearly medical expenses were obtained from a regional health system database in Singapore to estimate the lifetime medical cost of T2DM patients. Then, the lifetime medical cost of non-T2DM subjects was predicted using a regression model. From the database, gender- and age-specific annual survival rates of T2DM and non-T2DM subjects were obtained and survival-adjusted yearly expenses over the estimated remaining life span were added to obtain lifetime medical costs. The difference between T2DM and non-T2DM subjects was attributed to excess direct medical costs of T2DM. RESULTS: The excess lifetime medical expenses for T2DM patients were SGD 132 506, 108 589, 83 326 and 70 110 when the age of T2DM diagnosis was 40, 50, 60, and 65 years, respectively. CONCLUSIONS: Even though T2DM patients have a lower life expectancy, T2DM is associated with substantially higher lifetime medical costs. Delaying the onset of T2DM, especially in the young, may lead to lower lifetime medical expenses. If prevention costs can be kept sufficiently low, effective T2DM prevention efforts would likely lead to a reduction in long-term medical costs.


Assuntos
Efeitos Psicossociais da Doença , Diabetes Mellitus Tipo 2/tratamento farmacológico , Diabetes Mellitus Tipo 2/economia , Hipoglicemiantes/uso terapêutico , Adulto , Idoso , Idoso de 80 Anos ou mais , Análise Custo-Benefício , Diabetes Mellitus Tipo 2/epidemiologia , Feminino , Humanos , Incidência , Masculino , Pessoa de Meia-Idade , Singapura/epidemiologia , Análise de Sobrevida
3.
J Diabetes ; 10(5): 380-385, 2018 May.
Artigo em Inglês | MEDLINE | ID: mdl-29030996

RESUMO

BACKGROUND: One of the laboratory tests recommended by the American Diabetes Association (ADA) to screen for diabetes mellitus (DM) is HbA1c, and it is particularly suitable for segments of the population that cannot or are unwilling to fast for a screening test. The aim of this study was to determine whether HbA1c would be a useful tool to screen for DM in a real-world setting if ADA guidelines for repeat testing to confirm the diagnosis of DM are strictly adhered to. METHODS: A retrospective database study was performed by extracting demographic and laboratory data from a chronic disease registry that collects data on adults from three tertiary hospitals and nine large primary care clinics in Singapore. Data were extracted and analyzed for adults not previously known to have DM whose data was captured in the registry between 2005 and 2016 with HbA1c and at least two diagnostic tests for DM (fasting plasma glucose or 2-h plasma glucose) performed within 4 weeks after HbA1c determination. RESULTS: In all, 3928 adults were included in this study. The sensitivity, specificity, and area under the receiver operating characteristic curve for HbA1c at a threshold of 6.5% were 85.2%, 82.3%, and 0.914, respectively. A higher sensitivity was found in female adults, younger adults, and those of non-Chinese ethnicity. CONCLUSIONS: The sensitivity of HbA1c as a screening test for DM in this study was significantly higher than that reported previously. This work provides additional evidence supporting the inclusion of HbA1c as one of the screening tests for DM.


Assuntos
Diabetes Mellitus/diagnóstico , Hemoglobinas Glicadas/metabolismo , Adulto , Idoso , Área Sob a Curva , Biomarcadores/sangue , Glicemia/metabolismo , Diabetes Mellitus/sangue , Diabetes Mellitus/etnologia , Feminino , Teste de Tolerância a Glucose , Fidelidade a Diretrizes , Humanos , Masculino , Pessoa de Meia-Idade , Guias de Prática Clínica como Assunto , Valor Preditivo dos Testes , Prognóstico , Curva ROC , Sistema de Registros , Reprodutibilidade dos Testes , Estudos Retrospectivos , Singapura/epidemiologia , Centros de Atenção Terciária
4.
J Chem Inf Model ; 49(4): 877-85, 2009 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-19267483

RESUMO

Lymphocyte-specific protein tyrosine kinase (Lck) inhibitors have treatment potential for autoimmune diseases and transplant rejection. A support vector machine (SVM) model trained with 820 positive compounds (Lck inhibitors) and 70 negative compounds (Lck noninhibitors) combined with 65 142 generated putative negatives was developed for predicting compounds with a Lck inhibitory activity of IC(50) < or = 10 microM. The SVM model, with an estimated sensitivity of greater than 83% and specificity of greater than 99%, was used to screen 168 014 compounds in the MDDR and was found to have a yield of 45.8% and a false positive rate of 0.52%. The model was also able to identify novel Lck inhibitors and distinguish inhibitors from structurally similar noninhibitors at a false positive rate of 0.27%. To the best of our knowledge, the SVM model developed in this work is the first model with a broad applicability domain and low false positive rate, which makes it very suitable for the virtual screening of chemical libraries for Lck inhibitors.


Assuntos
Inteligência Artificial , Avaliação Pré-Clínica de Medicamentos/métodos , Inibidores Enzimáticos/síntese química , Inibidores Enzimáticos/farmacologia , Proteína Tirosina Quinase p56(lck) Linfócito-Específica/antagonistas & inibidores , Redes Neurais de Computação , Simulação por Computador , Desenho de Fármacos , Inibidores Enzimáticos/química , Modelos Logísticos , Modelos Químicos , Reprodutibilidade dos Testes , Relação Estrutura-Atividade , Descritores
5.
Drug Discov Today ; 11(9-10): 412-20, 2006 May.
Artigo em Inglês | MEDLINE | ID: mdl-16635803

RESUMO

Drugs exert their therapeutic effect by binding and regulating the activity of a particular protein or nucleic acid target. A large number of targets have been explored for drug discovery. Continuous effort has been directed at the search for new targets and more-extensive exploration of existing targets. Knowledge of these targets facilitates the understanding of molecular mechanisms of drugs and the effort required for drug discovery and target searches. Areas of progress, current focuses of research and development and the difficulties in target exploration are reviewed. The characteristics of the currently explored targets and their correlation to the level of difficulty for target exploration are analyzed. From these characteristics, simple rules can be derived for estimating the difficulty level of target exploration. The feasibility of predicting druggable proteins by using simple rules and sequence-derived physicochemical properties is also discussed.


Assuntos
Anti-Infecciosos/administração & dosagem , Antineoplásicos/administração & dosagem , Fármacos Cardiovasculares/administração & dosagem , Sistemas de Liberação de Medicamentos/tendências , Desenho de Fármacos , Animais , Inteligência Artificial , Humanos , Modelos Químicos , Receptores de Superfície Celular/química , Receptores de Superfície Celular/efeitos dos fármacos
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