Impact of HbA1c measurement on hospital readmission rates: analysis of 70,000 clinical database patient records.
Impact of HbA1c measurement on hospital readmission rates: analysis of 70,000 clinical database patient records.
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DOI：
10.1155/2014/781670
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发表时间：
2014
影响因子：
--
通讯作者：
Clore JN
中科院分区：
文献类型：
--
作者：
Strack B;DeShazo JP;Gennings C;Olmo JL;Ventura S;Cios KJ;Clore JN
住院患者的高血糖管理在发病率和死亡率方面对预后有重要影响。然而，很少有国家对住院期间糖尿病护理的评估，可以作为改变的基线。这项对大型临床数据库（7400万例独特遭遇对应1700万例独特患者）的分析是为了提供这样的评估，并找到可能导致改善患者安全的未来方向。近7万名住院糖尿病患者被确认有足够的细节供分析。采用多变量logistic回归拟合HbA1c测量与早期再入院之间的关系，同时控制人口统计学、疾病严重程度和类型以及入院类型等协变量。结果显示，住院患者很少检测HbA1c（18.4%）。统计模型提示再入院概率与HbA1c测定之间的关系取决于初始诊断。这些数据进一步表明，在HbA1c检测中反映的对糖尿病的更多关注可能会改善患者的预后并降低住院治疗的成本。
Management of hyperglycemia in hospitalized patients has a significant bearing on outcome, in terms of both morbidity and mortality. However, there are few national assessments of diabetes care during hospitalization which could serve as a baseline for change. This analysis of a large clinical database (74 million unique encounters corresponding to 17 million unique patients) was undertaken to provide such an assessment and to find future directions which might lead to improvements in patient safety. Almost 70,000 inpatient diabetes encounters were identified with sufficient detail for analysis. Multivariable logistic regression was used to fit the relationship between the measurement of HbA1c and early readmission while controlling for covariates such as demographics, severity and type of the disease, and type of admission. Results show that the measurement of HbA1c was performed infrequently (18.4%) in the inpatient setting. The statistical model suggests that the relationship between the probability of readmission and the HbA1c measurement depends on the primary diagnosis. The data suggest further that the greater attention to diabetes reflected in HbA1c determination may improve patient outcomes and lower cost of inpatient care.
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DOI：
10.1111/j.1464-5491.2011.03432.x
发表时间：
2011-12
期刊：
Diabetic medicine : a journal of the British Diabetic Association
影响因子：
--
作者：
Anwar H;Fischbacher CM;Leese GP;Lindsay RS;McKnight JA;Wild SH;Scottish Diabetes Research Network Epidemiology Group
通讯作者：
Scottish Diabetes Research Network Epidemiology Group
影响因子：
16.2
作者：
Levetan, CS;Passaro, M;Ratner, RE
通讯作者：
Ratner, RE
影响因子：
--
作者：
Pittas, AG;Siegel, RD;Lau, J
通讯作者：
Lau, J
影响因子：
4.8
作者：
Britton, Kathryn A.;Aggarwal, Vikas;Fox, Caroline S.
通讯作者：
Fox, Caroline S.
影响因子：
2.8
作者：
Shah, Ravi V.;Altman, Robert K.;Das, Saumya
通讯作者：
Das, Saumya