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社会经济地位对工作年龄人群菌血症后死亡率的影响。一项丹麦基于人群的队列研究。

Effect of socioeconomic status on mortality after bacteremia in working-age patients. A Danish population-based cohort study.

机构信息

Department of Clinical Microbiology, Aalborg University Hospital, Aalborg, Denmark.

出版信息

PLoS One. 2013 Jul 25;8(7):e70082. doi: 10.1371/journal.pone.0070082. Print 2013.

DOI:10.1371/journal.pone.0070082
PMID:23936145
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3723741/
Abstract

OBJECTIVES

To examine the effect of socioeconomic status (SES) on mortality in patients with bacteremia and the underlying factors that may mediate differences in mortality.

METHODS

We conducted a population-based cohort study in two Danish regions. All patients 30 to 65 years of age with first time bacteremia from 2000 through 2008 were identified in a population-based microbiological bacteremia database (n = 8,653). Individual-level data on patients' SES (educational level and personal income) and comorbid conditions were obtained from public and medical registries. We used Cox regression to examine mortality within 30 days after bacteremia with and without cumulative adjustment for potential mediators.

RESULTS

Bacteremia patients of low SES were more likely to live alone and be unmarried than patients of high SES. They also had more pre-existing comorbidity, more substance abuse, more Staphylococcus aureus and nosocomial infections, and more admissions to small nonteaching hospitals. Overall, 1,374 patients (15.9%) died within 30 days of follow-up. Patients of low SES had consistently higher mortality after bacteremia than those of high SES crude hazard ratio for low vs. high education, 1.38 [95% confidence interval (CI), 1.18-1.61]; crude hazard ratio for low-income vs. high-income tertile, 1.58 [CI, 1.39-1.80]. Adjustment for differences in social support, pre-existing comorbidity, substance abuse, place of acquisition of the infection, and microbial agent substantially attenuated the effect of SES on mortality (adjusted hazard ratio for low vs. high education, 1.15 [95% CI, 0.98-1.36]; adjusted hazard ratio for low-income vs. high-income tertile, 1.29 [CI, 1.12-1.49]). Further adjustment for characteristics of the admitting hospital had minimal effect on observed mortality differences.

CONCLUSIONS

Low SES was strongly associated with increased 30-day mortality after bacteremia. Less social support, more pre-existing comorbidity, more substance abuse, and differences in place of acquisition and agent of infection appeared to mediate much of the observed disparities in mortality.

摘要

目的

研究社会经济地位(SES)对菌血症患者死亡率的影响,以及可能导致死亡率差异的潜在因素。

方法

我们在丹麦的两个地区进行了一项基于人群的队列研究。从 2000 年至 2008 年,从一个基于人群的微生物菌血症数据库中确定了 30 至 65 岁首次发生菌血症的所有患者(n=8653)。从公共和医疗登记处获得了患者 SES(教育水平和个人收入)和合并症的个体水平数据。我们使用 Cox 回归分析了菌血症后 30 天内的死亡率,包括在累积调整潜在中介因素后。

结果

低 SES 的菌血症患者比高 SES 的患者更有可能独居和未婚。他们也有更多的预先存在的合并症、更多的药物滥用、更多的金黄色葡萄球菌和医院感染,以及更多的小非教学医院入院。总的来说,8653 名患者中有 1374 名(15.9%)在随访 30 天内死亡。与 SES 较高的患者相比,SES 较低的患者菌血症后死亡率始终较高,低 SES 与高 SES 的粗死亡率比为 1.38(95%置信区间[CI],1.18-1.61);低 SES 与高 SES 的低收入组相比,粗死亡率比为 1.58(CI,1.39-1.80)。调整社会支持、预先存在的合并症、药物滥用、感染部位和微生物制剂方面的差异后,SES 对死亡率的影响明显减弱(低 SES 与高 SES 的调整死亡率比为 1.15(95%CI,0.98-1.36);低 SES 与高 SES 的低收入组相比,调整死亡率比为 1.29(CI,1.12-1.49))。进一步调整入院医院的特征对观察到的死亡率差异影响不大。

结论

低 SES 与菌血症后 30 天死亡率增加密切相关。社会支持较少、预先存在的合并症较多、药物滥用较多以及感染部位和病原体的差异似乎在很大程度上解释了观察到的死亡率差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/283e/3723741/2e4285e1444c/pone.0070082.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/283e/3723741/2e4285e1444c/pone.0070082.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/283e/3723741/2e4285e1444c/pone.0070082.g001.jpg

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本文引用的文献

1
Chronic medical conditions and risk of sepsis.慢性医疗状况与脓毒症风险。
PLoS One. 2012;7(10):e48307. doi: 10.1371/journal.pone.0048307. Epub 2012 Oct 31.
2
Classification of positive blood cultures: computer algorithms versus physicians' assessment--development of tools for surveillance of bloodstream infection prognosis using population-based laboratory databases.血培养阳性分类:计算机算法与医生评估——基于人群的实验室数据库的血流感染预后监测工具的开发。
BMC Med Res Methodol. 2012 Sep 12;12:139. doi: 10.1186/1471-2288-12-139.
3
Relation between volume and outcome for patients with severe sepsis in United Kingdom: retrospective cohort study.
成人患者医疗保险状态与脓毒症结局的关联:一项回顾性队列研究
Int J Environ Res Public Health. 2021 May 27;18(11):5777. doi: 10.3390/ijerph18115777.
4
Distance Between Home and the Admitting Hospital and Its Effect on Survival of Low Socioeconomic Status Population With Bacteremia.家庭与收治医院之间的距离及其对低社会经济地位菌血症人群生存的影响。
Public Health Rep. 2022 Jan-Feb;137(1):110-119. doi: 10.1177/0033354921994897. Epub 2021 Mar 9.
5
Contemporary Trends in Native Valve Infective Endocarditis in United States (from the National Inpatient Sample Database).美国原发性心脏瓣膜感染性心内膜炎的当代趋势(来自全国住院患者样本数据库)。
Am J Cardiol. 2020 Jun 1;125(11):1678-1687. doi: 10.1016/j.amjcard.2020.02.035. Epub 2020 Mar 16.
6
Changes in the Characteristics and Long-term Mortality Rates of Intensive Care Unit Patients from 2003 to 2010: A Nationwide Population-Based Cohort Study Performed in the Republic of Korea.2003年至2010年重症监护病房患者特征及长期死亡率的变化:在大韩民国进行的一项基于全国人口的队列研究。
Acute Crit Care. 2018 Aug;33(3):135-145. doi: 10.4266/acc.2018.00164. Epub 2018 Aug 31.
7
Psychosocial Mediators between Socioeconomic Status and Dietary Restrictions among Patients Receiving Hemodialysis in Japan.日本接受血液透析患者中社会经济地位与饮食限制之间的心理社会调节因素
Int J Nephrol. 2019 Apr 17;2019:7647356. doi: 10.1155/2019/7647356. eCollection 2019.
8
The complexity of loneliness.孤独的复杂性。
Acta Biomed. 2018 Jun 7;89(2):302-314. doi: 10.23750/abm.v89i2.7404.
9
Evidence of High Mortality and Increasing Burden of Sepsis in a Regional Sample of the New Zealand Population.新西兰人群区域样本中脓毒症高死亡率及负担加重的证据。
Open Forum Infect Dis. 2017 Aug 24;4(3):ofx106. doi: 10.1093/ofid/ofx106. eCollection 2017 Summer.
10
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BMC Infect Dis. 2017 Aug 25;17(1):589. doi: 10.1186/s12879-017-2691-3.
英国严重脓毒症患者的容量与结局关系:回顾性队列研究。
BMJ. 2012 May 29;344:e3394. doi: 10.1136/bmj.e3394.
4
Bacteremia with Streptococcus pneumoniae: sepsis and other risk factors for 30-day mortality--a hospital-based cohort study.血流感染肺炎链球菌:脓毒症和 30 天死亡率的其他危险因素——一项基于医院的队列研究。
Eur J Clin Microbiol Infect Dis. 2012 Oct;31(10):2719-25. doi: 10.1007/s10096-012-1619-5. Epub 2012 May 13.
5
Relationship between neighborhood poverty rate and bloodstream infections in the critically ill.社区贫困率与危重症患者血流感染的关系。
Crit Care Med. 2012 May;40(5):1427-36. doi: 10.1097/CCM.0b013e318241e51e.
6
Danish registers on personal income and transfer payments.丹麦个人收入和转移支付登记册。
Scand J Public Health. 2011 Jul;39(7 Suppl):103-5. doi: 10.1177/1403494811405098.
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Danish registers on personal labour market affiliation.丹麦个人劳动力市场隶属关系登记册。
Scand J Public Health. 2011 Jul;39(7 Suppl):95-8. doi: 10.1177/1403494811408483.
8
Danish Education Registers.丹麦教育登记册。
Scand J Public Health. 2011 Jul;39(7 Suppl):91-4. doi: 10.1177/1403494810394715.
9
The Danish Civil Registration System.丹麦民事登记系统。
Scand J Public Health. 2011 Jul;39(7 Suppl):22-5. doi: 10.1177/1403494810387965.
10
The predictive value of ICD-10 diagnostic coding used to assess Charlson comorbidity index conditions in the population-based Danish National Registry of Patients.基于人群的丹麦国家患者登记处使用 ICD-10 诊断编码评估 Charlson 合并症指数疾病的预测价值。
BMC Med Res Methodol. 2011 May 28;11:83. doi: 10.1186/1471-2288-11-83.