1034. COVID-19 Bloodstream Infection Outcomes Stratified by Social Determination Index (SDI) in NYC Public Hospital System

Abstract Background Impact of socioeconomic factors on outcomes was significant during the COVID-19 pandemic. We aim to study disparities in outcomes among hospitalized COVID-19 patients with bloodstream infection (BSI) stratified by SDI in the NYC Public Health System. Methods Retrospective multice...

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Veröffentlicht in:Open forum infectious diseases 2023-11, Vol.10 (Supplement_2)
Hauptverfasser: Yao Lim, Chee, Johan, Kenneth, Gutierrez, Jorge, Romero Garcia, Alberto, Afzal, Afsheen, Al-Khateeb, Mohannad Al-Khateeb, Yankulova, Boyana, Yusuf, Mubarak, De Castro, Yinelka Silverio, Venugopal, Usha, Feinstein, Addi, La Fortune, Alexander, Sittler, Daniel, Menon, Vidya
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container_issue Supplement_2
container_start_page
container_title Open forum infectious diseases
container_volume 10
creator Yao Lim, Chee
Johan, Kenneth
Gutierrez, Jorge
Romero Garcia, Alberto
Afzal, Afsheen
Al-Khateeb, Mohannad Al-Khateeb
Yankulova, Boyana
Yusuf, Mubarak
De Castro, Yinelka Silverio
Venugopal, Usha
Feinstein, Addi
La Fortune, Alexander
Sittler, Daniel
Menon, Vidya
description Abstract Background Impact of socioeconomic factors on outcomes was significant during the COVID-19 pandemic. We aim to study disparities in outcomes among hospitalized COVID-19 patients with bloodstream infection (BSI) stratified by SDI in the NYC Public Health System. Methods Retrospective multicenter study of hospitalized patients with COVID-19 in 11 acute care hospitals in the NYC public health system from March 2020 to May 2020 was collected. Hospitals are further stratified according to the median household income of NYC using their zip code area into high (≥$65,000), medium ($40,000-64,999) and low income (< $40,000). Descriptive statistics were used to compare baseline patient characteristics including COVID-19 severity and BSI features. The primary outcome was in-hospital mortality. Logistic regression models were used to adjust for potential confounders. Inclusion Process of Study Population Results Eleven hospitals were stratified based on SDI (high income: 2, medium income: 4, low income: 3), 2 were excluded as they lie on zip codes with overlapping income. Patients’ baseline and BSI characteristics are described in Table 1. For every change in income group: high-middle and middle-low, the odds of mortality increased by 1.33 times (p=0.048). Additionally, for every increase in 1 year of age above 23, the risk of mortality from BSI increased by 2.2% (p=0.004). Baseline Characteristics of Subjects Stratified by Household Income Status Bloodstream Infection Characteristics Stratified by Household Income Status Conclusion The study shows the impact of health disparities during COVID-19 among hospitals with the same standard of care, where higher mortality rates were observed in low and middle-income zip code areas in NYC, likely due to the burden of social determinants of health. Hospital acquired BSI was uniformly high in all income groups, compared to primary BSI. Nonetheless, it provided an insight about the need for further investigation about the impact of socioeconomic factors on mortality and for strategies to address disparities in access to healthcare. Disclosures All Authors: No reported disclosures
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COVID-19 Bloodstream Infection Outcomes Stratified by Social Determination Index (SDI) in NYC Public Hospital System</title><source>Oxford Journals Open Access Collection</source><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Yao Lim, Chee ; Johan, Kenneth ; Gutierrez, Jorge ; Romero Garcia, Alberto ; Afzal, Afsheen ; Al-Khateeb, Mohannad Al-Khateeb ; Yankulova, Boyana ; Yusuf, Mubarak ; De Castro, Yinelka Silverio ; Venugopal, Usha ; Feinstein, Addi ; La Fortune, Alexander ; Sittler, Daniel ; Menon, Vidya</creator><creatorcontrib>Yao Lim, Chee ; Johan, Kenneth ; Gutierrez, Jorge ; Romero Garcia, Alberto ; Afzal, Afsheen ; Al-Khateeb, Mohannad Al-Khateeb ; Yankulova, Boyana ; Yusuf, Mubarak ; De Castro, Yinelka Silverio ; Venugopal, Usha ; Feinstein, Addi ; La Fortune, Alexander ; Sittler, Daniel ; Menon, Vidya</creatorcontrib><description>Abstract Background Impact of socioeconomic factors on outcomes was significant during the COVID-19 pandemic. We aim to study disparities in outcomes among hospitalized COVID-19 patients with bloodstream infection (BSI) stratified by SDI in the NYC Public Health System. Methods Retrospective multicenter study of hospitalized patients with COVID-19 in 11 acute care hospitals in the NYC public health system from March 2020 to May 2020 was collected. Hospitals are further stratified according to the median household income of NYC using their zip code area into high (≥$65,000), medium ($40,000-64,999) and low income (&lt; $40,000). Descriptive statistics were used to compare baseline patient characteristics including COVID-19 severity and BSI features. The primary outcome was in-hospital mortality. Logistic regression models were used to adjust for potential confounders. Inclusion Process of Study Population Results Eleven hospitals were stratified based on SDI (high income: 2, medium income: 4, low income: 3), 2 were excluded as they lie on zip codes with overlapping income. Patients’ baseline and BSI characteristics are described in Table 1. For every change in income group: high-middle and middle-low, the odds of mortality increased by 1.33 times (p=0.048). Additionally, for every increase in 1 year of age above 23, the risk of mortality from BSI increased by 2.2% (p=0.004). Baseline Characteristics of Subjects Stratified by Household Income Status Bloodstream Infection Characteristics Stratified by Household Income Status Conclusion The study shows the impact of health disparities during COVID-19 among hospitals with the same standard of care, where higher mortality rates were observed in low and middle-income zip code areas in NYC, likely due to the burden of social determinants of health. Hospital acquired BSI was uniformly high in all income groups, compared to primary BSI. 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COVID-19 Bloodstream Infection Outcomes Stratified by Social Determination Index (SDI) in NYC Public Hospital System</title><title>Open forum infectious diseases</title><description>Abstract Background Impact of socioeconomic factors on outcomes was significant during the COVID-19 pandemic. We aim to study disparities in outcomes among hospitalized COVID-19 patients with bloodstream infection (BSI) stratified by SDI in the NYC Public Health System. Methods Retrospective multicenter study of hospitalized patients with COVID-19 in 11 acute care hospitals in the NYC public health system from March 2020 to May 2020 was collected. Hospitals are further stratified according to the median household income of NYC using their zip code area into high (≥$65,000), medium ($40,000-64,999) and low income (&lt; $40,000). Descriptive statistics were used to compare baseline patient characteristics including COVID-19 severity and BSI features. The primary outcome was in-hospital mortality. Logistic regression models were used to adjust for potential confounders. Inclusion Process of Study Population Results Eleven hospitals were stratified based on SDI (high income: 2, medium income: 4, low income: 3), 2 were excluded as they lie on zip codes with overlapping income. Patients’ baseline and BSI characteristics are described in Table 1. For every change in income group: high-middle and middle-low, the odds of mortality increased by 1.33 times (p=0.048). Additionally, for every increase in 1 year of age above 23, the risk of mortality from BSI increased by 2.2% (p=0.004). Baseline Characteristics of Subjects Stratified by Household Income Status Bloodstream Infection Characteristics Stratified by Household Income Status Conclusion The study shows the impact of health disparities during COVID-19 among hospitals with the same standard of care, where higher mortality rates were observed in low and middle-income zip code areas in NYC, likely due to the burden of social determinants of health. Hospital acquired BSI was uniformly high in all income groups, compared to primary BSI. Nonetheless, it provided an insight about the need for further investigation about the impact of socioeconomic factors on mortality and for strategies to address disparities in access to healthcare. 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Descriptive statistics were used to compare baseline patient characteristics including COVID-19 severity and BSI features. The primary outcome was in-hospital mortality. Logistic regression models were used to adjust for potential confounders. Inclusion Process of Study Population Results Eleven hospitals were stratified based on SDI (high income: 2, medium income: 4, low income: 3), 2 were excluded as they lie on zip codes with overlapping income. Patients’ baseline and BSI characteristics are described in Table 1. For every change in income group: high-middle and middle-low, the odds of mortality increased by 1.33 times (p=0.048). Additionally, for every increase in 1 year of age above 23, the risk of mortality from BSI increased by 2.2% (p=0.004). 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title 1034. COVID-19 Bloodstream Infection Outcomes Stratified by Social Determination Index (SDI) in NYC Public Hospital System
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