Burden of Pneumonia Among Hospitalized Patients with Influenza: Real-World Evidence from a US Managed Care Population

Abstract

Introduction

Pneumonia is among the most prevalent complications of influenza. The purpose of this study is to quantify the burden of pneumonia among hospitalized patients with influenza.

Methods

Real-world retrospective data from 01JAN2014-30JUN2019 (study period) were obtained from Optum’s de-identified Clinformatics® Data Mart Database (2007–2020) for patients who had ≥ 1 diagnosis for influenza during the identification period and ≥ 1 all-cause inpatient visit within 1 day of diagnosis. Cases had ≥ 1 diagnosis claim for an influenza-related pneumonia within the 30 days after the initial influenza diagnosis date. Controls had no evidence of influenza-related pneumonia in the 30 days following the initial influenza diagnosis. Final 1:1 matching was determined using propensity score matching (PSM). Statistical significance between the cohorts was tested.

Results

After PSM, there were 4878 hospitalized patients with influenza in each of the case and control groups. During the index hospitalization, cases vs. controls had longer length of stay [Mean (standard deviation): 6.5 (8.3) vs. 1.9 (3.7)], greater intensive care unit (ICU) use (38.4 vs. 16.8%), and greater mechanical ventilation use (invasive: 11.4 vs. 2.3%; non-invasive: 6.8 vs. 2.6%) (all p < 0.001). Cases also had higher readmission rates than controls (12.3 vs. 3.5% within 30 days; 20.0 vs. 6.1% within 90 days; p < 0.001 for both). Post-index date direct all-cause healthcare costs were higher for cases than for controls (median total cost: $18,428 vs. $621 for 30 days; $21,774 vs. $3312 for 90 days; $25,960 vs. $8699 for 6 months; $35,875 vs. $21,619 for 1 year; all p < 0.001).

Conclusions

Pneumonia as a complication of influenza increases risk of mortality and leads to greater healthcare resource use and direct medical costs among patients hospitalized with influenza. These effects are seen early during the index hospitalization and within the first 30 days after diagnosis, but their impact continues throughout a year of follow-up.

Supplementary Information

The online version contains supplementary material available at 10.1007/s41030-021-00169-2.

Key Summary Points

Why carry out this study?

Influenza is an increasingly prevalent acute respiratory infection, and pneumonia is the most frequent serious complication.

Together, influenza and pneumonia are the eighth leading cause of death in the United States, but there is a lack of real-world studies focusing on the burden of pneumonia as a complication of influenza.

The purpose of this large retrospective observational study was to quantify the burden of pneumonia among hospitalized patients with influenza.

What was learned from this study?

Pneumonia as a complication of influenza increases risk of mortality and leads to greater healthcare resource use and direct medical costs among patients hospitalized with influenza.

These findings demonstrate the need for treatments that reduce influenza complications, especially in the 30 days after an influenza diagnosis.

Introduction

Influenza is an acute respiratory infection, having affected 9.2 million to 35.6 million people in the United States from the 2010–2011 to the 2015–2016 influenza season, resulting in increased morbidity and mortality [1]. Most of the resulting morbidity and mortality in influenza patients is due to complications disproportionately affecting vulnerable groups such as individuals with chronic disease (including chronic pulmonary disease), individuals aged ≥ 50 years, pregnant women, children aged 6–59 months, individuals receiving aspirin- or salicylate-containing medications, extremely obese individuals, and immune-compromised individuals [2, 3].

Pneumonia, either bacterial or viral, is the most frequent serious complication and usually occurs towards the resolution of influenza symptoms 4–14 days after diagnosis [4, 5]. Together, influenza and pneumonia are the eighth leading cause of death in the United States [6]. Respiratory-related deaths from the 2010–2011 to the 2013–2014 influenza season ranged from 12,000 to 56,000. Pneumonia-associated and influenza deaths ranged from 4000–12,000 between the 2010–2011 and the 2015–2016 influenza season [1].

Complications from influenza resulting in hospitalization remain a significant health concern. During the 2017–2018 influenza season, the US Centers for Disease Control and Prevention (CDC) estimates there were > 45 million cases of influenza resulting in > 21 million influenza-associated medical visits, > 810,000 influenza-related hospitalizations, and > 61,000 deaths [7]. Along with the physical burden of influenza, there is also a significant economic burden. Previously, the projected annual cost of influenza-related healthcare has been estimated to range from $2.0–$5.8 billion (for two of the most common sub-types) to $10.4 billion [8, 9].

Previous studies either examined influenza-related or pneumonia-related healthcare resource utilization (HCRU). Many of the studies attempting to quantify the burden of influenza do not calculate the burden of influenza-associated pneumonia [10–16]. At the same time, many pneumonia studies evaluate the burden of pneumonia (not including those evaluating viral or bacterial pneumonia) regardless of the etiology [17, 18]. More specifically, there is a lack of real-world studies focusing on the burden of pneumonia as a complication of influenza—the most frequently reported complication of influenza. The purpose of this study was to quantify the burden of pneumonia among hospitalized patients with influenza.

Methods

Data Source

This real-world observational study was conducted using the Optum de-identified Clinformatics® Data Mart Database (2007–2020) (“Optum”) from January 2014 through June 2019. The Optum database captures administrative claims for > 33 million privately insured members with both medical and pharmacy benefits.

Compliance with Ethics Guidelines

Optum claims data files that were used for this study included medical claims, pharmacy claims, and laboratory results. All patient identifiers in the database have been fully encrypted, and the database is fully compliant with the Health Insurance Portability and Accountability Act (HIPAA) of 1996. As such, Institutional Review Board (IRB) approval to conduct this study was not required and considered exempt according to 45CFR46.101(b)(4): Existing Data & Specimens—No Identifiers.

Patient Selection

Patients with a medical claim for influenza diagnosis (International Classification of Disease, 9th Revision, Clinical Modification [ICD-9-CM] codes 487, 488; ICD-10-CM codes J09, J10, J11) were identified between January 1, 2015 and June 30, 2018. The date of the first observed influenza diagnosis during this period was designated as the initial influenza diagnosis date. Patients were required to have ≥ 1 all-cause inpatient visit within 1 day of the initial influenza diagnosis date during the identification period. The first inpatient visit during this period was designated as the initial influenza hospitalization.

Patients were included in the case cohort if they had ≥ 1 diagnosis for an influenza-related pneumonia (ICD-9-CM: 487.0, 488.01, 488.11, 488.81; ICD-10-CM: J09.X1, J10.0x, J11.0x) within the 30 days after the initial influenza diagnosis date during the identification period (01JAN2015-30JUN2019). The first influenza-related pneumonia diagnosis date was designated as the index date. Control patients were identified as patients with no evidence of influenza-related pneumonia in the 30 days following the initial influenza diagnosis. For each case patient, a control patient of identical age, sex, and region was selected during the same index study year. To reduce bias, distribution of time between initial influenza diagnoses and influenza-related pneumonia diagnoses for cases was calculated. The index date for controls was then randomly assigned based on the distribution of influenza-related pneumonia diagnoses to the index date for case patients.

Patients in both case and control cohorts were required to be ≥ 13 years at the time of index, with continuous medical and pharmacy benefits for ≥ 12 months prior to the index date (baseline period) and ≥ 12 months after the index date (follow-up period). Patients who died during the follow-up period were also included in the study. To exclude patients with recurrent pneumonia leading up to the initial influenza diagnosis, patients were excluded if they had a diagnosis of pneumonia in the 30 days before the initial influenza diagnosis. Patients with recurrent pneumonia during the full baseline period were not excluded. (Fig. 1)

Fig. 1.

Patient selection flow chart. *Patients who died during the 12-month follow-up period were included in the analysis

Study Variables

Baseline patient demographics including age, sex, US geographic region, health insurance plan type, and Charlson Comorbidity Index (CCI) score were evaluated [19, 20]. Baseline comorbidities were assessed during the 12-month baseline period for all patients. Comorbidities of interest included ankylosing spondylitis, anxiety, asthma, cancer, chronic kidney disease, chronic liver disease, chronic obstructive pulmonary disease, congenital heart disease, congestive heart failure, coronary artery disease, Crohn’s disease, cystic fibrosis, depression, diabetes, leukemia, high cholesterol, HIV, hypertension, lymphoma, multiple sclerosis, osteoarthritis, osteoporosis, plaque psoriasis, plasma cell neoplasms psoriatic arthritis, rheumatoid arthritis, solid organ transplant, stem cell transplant, stroke, systemic lupus erythematosus, and ulcerative colitis. All comorbid conditions were identified using ICD-9-CM or ICD-10-CM codes.

Characteristics of the initial influenza hospitalization were examined including the length of stay (LOS), intensive care unit (ICU) use, mechanical ventilation (MV) use, and initial influenza hospitalization healthcare costs. In addition, cumulative 30- and 90-day readmission as well as all-cause mortality during 30 days, 90 days, 6 months, and 12 months in the follow-up period were examined. All-cause HCRU and costs during the pre- and post-index period were assessed, including hospital LOS, office visits, pharmacy use, emergency department/room (ER), inpatient (across all hospitalization), and cumulative outpatient visits during 30 days, 90 days, 6 months, and 12 months in the follow-up. Costs were adjusted to 2019 US dollars using the medical care component of the Consumer Price Index.

Statistical Methods

All baseline and outcome variables were analyzed descriptively and compared between cases and controls. Propensity score matching (PSM) was performed to adjust for observed differences between the case and control cohorts. An unconditional logistic regression was fitted to determine the baseline characteristics associated with being in the case or control cohort. Using this model, a propensity score was developed for each patient which characterized the probability of being a member of the case cohort. Covariates in the propensity model included baseline demographic and clinical characteristics such as age, sex, US geographic region, health plan, payer type, pre-index CCI score, baseline all-cause HCRU, and individual comorbidities. Each patient in the case cohort was matched to a patient in the control cohort with the closest propensity score. Percentages and counts were provided for categorical variables. Means and standard deviations (SDs) were computed for continuous variables. Student’s t tests and Pearson’s Chi-squared tests were used to test statistical significance for continuous and categorical variables, respectively, between the cohorts.

Statistical analyses were conducted using Statistical Analysis System (SAS) v.9.3. (Cary, NC, USA). The p values level of significance was set at α-level 0.05.

Results

Baseline Characteristics

There was a total of 106,914 patients aged ≥ 13 years old with a diagnosis of influenza during the identification period (01JAN2015-30JUN2018). A total of 51,638 (48%) patients were hospitalized within 0–1 days of being diagnosed with influenza in the Optum database. After applying the inclusion and exclusion criteria, the final analytical sample was composed of a total of 25,159 patients including 12,350 influenza-related pneumonia cases (49.1%) and 12,809 potential controls (50.9%) without an influenza-related pneumonia diagnosis in the 30 days after the initial influenza diagnosis. After performing a 1:1 hard matching ratio based on age, gender, and region, there was a total of 11,169 patients with influenza-related pneumonia cases and 11,169 controls.

Pre-PSM patient characteristics and baseline HCRU and costs are summarized in Table 1. Prior to PSM, the average age among influenza-related pneumonia cases and controls was 76.4 years. Much of the total sample population were women residing in the south US region. Compared to controls, influenza-related pneumonia cases had higher mean CCI (3.9 vs. 3.6, p < 0.001). The most prevalent comorbidities for both cohorts included hypertension, chronic obstructive pulmonary disease, diabetes, osteoarthritis, coronary artery disease, and chronic kidney disease. Baseline all-cause HCRU were slightly higher among influenza-related pneumonia cases than controls. On average, total baseline all-cause healthcare costs were higher among influenza-related pneumonia cases than controls ($50,964 vs. $42,684, p < 0.001). After 1:1 PSM, most baseline characteristics were well balanced between the study cohorts, with 4878 patients in each cohort (Table 1).

Table 1.

Baseline demographics, clinical characteristics, and health care utilization and costs among hospitalized influenza patients with vs. without influenza-related pneumonia: before and after PSM

	Before PSM					After PSM
	Cases (N = 11,169)		Controls (N = 11,169)		p value	Cases (N = 4878)		Controls (N = 4878)		p value
	N	%	N	%		N	%	N	%
Age on index date (years)
Mean ± SD	76.4	11.1	76.4	11.1	0.858	78.4	9.0	78.4	8.9	0.841
Median	78.0		78.0			80.0		80.0
Sex
Male	4794	42.9%	4794	42.9%	1.000	2043	41.9%	2043	41.9%	1.000
Female	6375	57.1%	6375	57.1%	1.000	2835	58.1%	2835	58.1%	1.000
Health plan type
Indemnity	197	1.8%	268	2.4%	0.001	25	0.5%	25	0.5%	1.000
Non-capitated point of service	753	6.7%	781	7.0%	0.459	186	3.8%	186	3.8%	1.000
Health maintenance organization	3059	27.4%	3053	27.3%	0.928	1215	24.9%	1215	24.9%	1.000
Preferred provider organization	828	7.4%	886	7.9%	0.145	204	4.2%	204	4.2%	1.000
Exclusive provider organization	99	0.9%	128	1.1%	0.053	10	0.2%	10	0.2%	1.000
Others	6233	55.8%	6053	54.2%	0.016	3238	66.4%	3238	66.4%	1.000
Payer Type
Medicare	9948	89.1%	9794	87.7%	0.001	4639	95.1%	4639	95.1%	1.000
Commercial	1221	10.9%	1375	12.3%	0.001	239	4.9%	239	4.9%	1.000
US geographic region
Northeast	1693	15.2%	1693	15.2%	1.000	673	13.8%	673	13.8%	1.000
North Central	3076	27.5%	3066	27.5%	0.881	1414	29.0%	1414	29.0%	1.000
South	4164	37.3%	4167	37.3%	0.967	1851	37.9%	1851	37.9%	1.000
West	2227	19.9%	2232	20.0%	0.933	940	19.3%	940	19.3%	1.000
Unknown	9	0.1%	11	0.1%	0.655	0	0.0%	0	0.0%
Charlson comorbidity index score
Mean ± SD	3.9	3.1	3.6	3.0	< 0.001	3.1	2.7	3.1	2.7	1.000
Median	3.0		3.0			2.0		2.0
Baseline comorbidities
Anxiety	2093	18.9%	2085	18.9%	0.929	807	16.5%	828	17.0%	0.569
Asthma	1779	16.1%	1727	15.6%	0.361	632	13.0%	675	13.8%	0.201
Cancer	1907	17.2%	1635	14.8%	< .001	585	12.0%	578	11.8%	0.827
Chronic kidney disease (CKD)	3431	31.0%	3268	29.6%	0.020	1238	25.4%	1294	26.5%	0.196
Chronic obstructive pulmonary disease (COPD)	4595	41.5%	4205	38.1%	< 0.001	1796	36.8%	1750	35.9%	0.333
Congestive heart failure (CHF)	3456	31.2%	3169	28.7%	< 0.001	1164	23.9%	1164	23.9%	1.000
Coronary artery disease (CAD)	3712	33.6%	3587	32.5%	0.086	1491	30.6%	1481	30.4%	0.826
Depression	2457	22.2%	2369	21.4%	0.168	955	19.6%	901	18.5%	0.164
Diabetes	4130	37.3%	4086	37.0%	0.593	1634	33.5%	1656	33.9%	0.638
High cholesterol	2322	21.0%	2310	20.9%	0.884	975	20.0%	989	20.3%	0.724
Hypertension	9031	81.6%	8987	81.3%	0.582	3847	78.9%	3892	79.8%	0.261
Osteoarthritis	3776	34.1%	3761	34.0%	0.888	1570	32.2%	1571	32.2%	0.983
Osteoporosis	1445	13.1%	1315	11.9%	0.009	368	7.5%	368	7.5%	1.000
Stroke	1093	9.9%	1079	9.8%	0.777	411	8.4%	397	8.1%	0.607
Baseline all-cause healthcare resource utilization
Hospitalizations
Patients with ≥ 1 hospitalization (n, %)	4900	43.9%	5731	51.3%	< 0.001	1843	37.8%	1843	37.8%	1.000
Hospitalizations per patients (mean, SD)	1.0	1.8	1.1	1.6	0.014	0.8	1.5	0.8	1.4	0.531
Outpatient Office visits
Patients with ≥ 1 outpatient visit (n, %)	10,442	93.5%	10,248	91.8%	< 0.001	4,497	92.2%	4,501	92.3%	0.880
Outpatient visits per patients (mean, SD)	10.2	8.6	9.6	8.1	< 0.001	8.9	7.6	8.8	7.3	0.431
Outpatient ER visits
Patients with ≥ 1 outpatient ER visit (n, %)	6741	60.4%	6577	58.9%	0.025	2608	53.5%	2608	53.5%	1.000
Outpatient ER visits per patients (mean, SD)	2.0	3.5	1.8	3.1	< 0.001	1.6	2.8	1.5	2.7	0.061
Pharmacy fills
Patients with ≥ 1 pharmacy fills (n, %)	9541	85.4%	9500	85.1%	0.439	4032	82.7%	4100	84.1%	0.065
Fills per patients (mean, SD)	27.1	24.5	25.6	23.1	< 0.001	23.9	22.5	23.4	21.3	0.242
Baseline all-cause healthcare costs
Inpatient costs	$18,079	$57,455	$17,115	$44,214	< 0.001	$13,379	$51,461	$12,196	$36,859	0.192
Outpatient costs	$27,143	$75,008	$20,638	$52,934	< 0.001	$19,341	$56,112	$16,474	$44,947	0.005
Pharmacy costs	$5,742	$15,995	$4931	$13,274	< 0.001	$4129	$11,133	$3859	$10,592	0.220
Total costs	$50,964	$104,524	$42,684	$77,864	< 0.001	$36,848	$84,006	$32,529	$65,532	0.005
Characteristics of index hospitalization
LOS (mean, SD)	6.5	7.5	1.7	3.6	< 0.001	6.5	8.3	1.9	3.7	< 0.001
Index costs (mean, SD)	$18,300	$48,662	$3,933	$19,781	< 0.001	$18,221	$56,143	$4,478	$23,539	< 0.001
ICU use (n, %)	4476	40.1%	1599	14.3%	< 0.001	1875	38.4%	771	15.8%	< 0.001
MV use (n, %)	2160	19.3%	493	4.4%	< 0.001	887	18.2%	239	4.9%	< 0.001
Invasive MV	1362	12.2%	249	2.2%	< 0.001	556	11.4%	111	2.3%	< 0.001
Non-invasive MV	798	7.1%	244	2.2%	< 0.001	331	6.8%	128	2.6%	< 0.001

LOS length of stay, ICU intensive care unit, MV mechanical ventilation, ER emergency department/room, SD standard deviation

p values were calculated using Student’s t tests and Pearson’s Chi-squared tests for continuous and categorical variables, respectively

Initial Influenza Hospitalization

The characteristics of patients’ initial influenza hospitalization are presented in Table 2. Compared to controls, influenza-related pneumonia cases had longer initial influenza hospitalization (6.5 days vs. 1.9, p < 0.001), higher initial influenza hospitalization costs ($18,221 vs. $4478, p < 0.001), higher proportion of ICU use (38.4 vs. 15.8%, p < 0.001), higher MV use (18.2 vs. 4.9%, p < 0.001), higher invasive MV (11.4 vs. 2.3%, p < 0.001), and higher non-invasive MV use (6.8 vs. 2.6%, p < 0.001) during the initial influenza hospitalization.

Table 2.

PSM-adjusted mortality and hospital readmission during the follow-up among hospitalized influenza patients with vs. without influenza-related pneumonia

	Cases N = 4878		Controls N = 4878		P value
	N	%	N	%
Mortality
30-day	360	7.4%	44	0.9%	< .001
90-day	699	14.3%	143	2.9%	< .001
6-month	836	17.1%	209	4.3%	< .001
1-year	1,021	20.9%	361	7.4%	< .001
Readmission
30-day Readmission	599	12.3%	170	3.5%	< .001
90-day Readmission Rate	974	20.0%	299	6.1%	< .001

p values were calculated using Student’s t tests and Pearson’s Chi-squared tests for continuous and categorical variables, respectively

Outcome Assessment

Mortality and hospital readmission trends are presented in Table 3. Compared with controls, influenza-related pneumonia case patients also had higher mortality rates at 30 days (7.4 vs. 0.9%, p < 0.001), 90 days (14.3 vs. 2.9%, p < 0.001), 6 months (17.1 vs. 4.3%, p < 0.001), and 1 year (20.9 vs. 7.4%, p < 0.001) after the influenza-related pneumonia diagnosis date or randomly selected index date. Readmission rate was also higher in influenza-related pneumonia cases when compared to controls at 30 days (12.3 vs. 3.5%, p < 0.001) and 90 days (20.0 vs. 6.1%, p < 0.001) after the influenza-related pneumonia diagnosis date or randomly selected index date.

Table 3.

PSM adjusted follow-up all-cause healthcare resource utilization among hospitalized influenza patients with vs. without influenza-related pneumonia

	Cases (N = 4878)		Control (N = 4878)		P value
	N	%	N	%
At 30 days
Hospitalizations
Patients with ≥ 1 hospitalization (n, %)	4578	93.8%	784	16.1%	< 0.001
Hospitalizations per patients (mean, SD)	1.2	0.7	0.2	0.5	< 0.001
LOS, (mean, SD)	12.3	18.0	1.8	8.6	< 0.001
Outpatient office visits
Patients with ≥ 1 outpatient office visit (n, %)	2721	55.8%	2363	48.4%	< 0.001
Outpatient office visits per patients (mean, SD)	1.0	1.2	0.8	1.1	< 0.001
Outpatient ER visits
Patients with ≥ 1 outpatient ER visit (n, %)	3716	76.2%	864	17.7%	< 0.001
Outpatient ER visits per patients (mean, SD)	1.0	0.8	0.3	0.7	< 0.001
Pharmacy fills
Patients with ≥ 1 pharmacy fills (n, %)	3289	67.4%	3376	69.2%	0.058
Fills per patients (mean, SD)	2.1	2.2	2.1	2.1	0.198
At 90 days
Hospitalizations
Patients with ≥ 1 hospitalization (n, %)	4617	94.6%	1440	29.5%	< 0.001
Hospitalizations per patients (mean, SD)	1.4	1.0	0.4	0.8	< .001
LOS, (mean, SD)	14.7	22.4	4.0	12.9	< 0.001
Outpatient office visits
Patients with ≥ 1 outpatient office visit (n, %)	3636	74.5%	3710	76.1%	0.082
Outpatient office visits per patients (mean, SD)	2.6	2.6	2.4	2.4	< 0.001
Outpatient ER visits
Patients with ≥ 1 outpatient ER visit (n, %)	3863	79.2%	1646	33.7%	< 0.001
Outpatient ER visits per patients (mean, SD)	1.3	1.3	0.6	1.2	< 0.001
Pharmacy fills
Patients with ≥ 1 pharmacy fills (n, %)	3660	75.0%	3866	79.3%	< 0.001
Fills per patients (mean, SD)	5.8	5.7	6.0	5.6	0.049
At 6 months
Hospitalizations
Patients with ≥ 1 hospitalization (n, %)	4642	95.2%	1807	37.0%	< 0.001
Hospitalizations per patients (mean, SD)	1.6	1.3	0.6	1.1	< 0.001
LOS, (mean, SD)	16.7	26.0	6.1	16.9	< .001
Outpatient office visits
Patients with ≥ 1 outpatient office visit (n, %)	3857	79.1%	4170	85.5%	< 0.001
Outpatient office visits per patients (mean, SD)	4.7	4.5	4.6	4.3	0.446
Outpatient ER visits
Patients with ≥ 1 outpatient ER visit (n, %)	4011	82.2%	2160	44.3%	< 0.001
Outpatient ER visits per patients (mean, SD)	1.6	1.8	1.0	1.8	< 0.001
Pharmacy fills
Patients with ≥ 1 pharmacy fills (n, %)	3733	76.5%	3,974	81.5%	< 0.001
Fills per patients (mean, SD)	11.1	11.2	11.8	11.0	0.003
At 12 months
Hospitalizations
Patients with ≥ 1 hospitalization (n, %)	4679	95.9%	2762	56.6%	< 0.001
Hospitalizations per patients (mean, SD)	2.0	1.8	1.2	1.6	< 0.001
LOS, (mean, SD)	20.4	31.0	11.6	26.9	< 0.001
Outpatient office visits
Patients with ≥ 1 outpatient office visit (n, %)	3961	81.2%	4373	89.6%	< 0.001
Outpatient office visits per patients (mean, SD)	8.6	8.3	9.0	7.8	0.007
Outpatient ER visits
Patients with ≥ 1 outpatient ER visit (n, %)	4183	85.8%	3091	63.4%	< 0.001
Outpatient ER visits per patients (mean, SD)	2.4	3.1	2.0	3.0	< 0.001
Pharmacy fills
Patients with ≥ 1 pharmacy fills (n, %)	3814	78.2%	4116	84.4%	< 0.001
Fills per patients (mean, SD)	19.8	20.6	21.7	20.3	< 0.001

ER emergency department/room, LOS length of stay, SD standard deviation

p values were calculated using Student’s t tests and Pearson’s Chi-squared tests for continuous and categorical variables, respectively

All-cause Healthcare Utilization and Costs

Healthcare resource utilization is summarized in Table 3. Compared to controls, influenza-related pneumonia cases had higher all-cause inpatient admissions (93.8 vs. 16.1% within 30 days; 94.6 vs. 29.5% within 90 days; 95.2 vs. 37.0% within 6 months; 95.9 vs. 56.6% within 1 year of the influenza-related pneumonia diagnosis date or the randomly selected index date; p < 0.001 for all) and ER visits (76.2 vs. 17.7% within 30 days; 79.2 vs. 33.7% within 90 days; 82.2 vs. 44.3% within 6 months; 85.8 vs. 63.4% within 1 year of the influenza-related pneumonia diagnosis date or the randomly selected index date; p < 0.001 for all). On average, cases had more inpatient admissions (1.2 vs. 0.2 within 30 days; 1.4 vs. 0.4 within 90 days; 1.6 vs. 0.6 within 6 months; 2.0 vs. 1.2 within 1 year post-index date; p < 0.001 for all), more ER visits admissions (1.0 vs. 0.3 within 30 days; 1.3 vs. 0.6 within 90 days; 1.6 vs. 1.0 within 6 months; 2.4 vs. 2.0 within 1 year of the influenza-related pneumonia diagnosis date or the randomly selected index date; p < 0.001 for all), and longer LOS (12.3 vs. 1.8 within 30 days; 14.7 vs. 4.0 within 90 days; 16.7 vs. 6.1 within 6 months; 20.4 vs. 11.6 within 1 year of the influenza-related pneumonia diagnosis date or the randomly selected index date; p < 0.001 for all) per patient than controls. All healthcare utilization results were cumulative.

Figure 2 illustrates the differences in all-cause healthcare costs during the follow-up. Average total all-cause healthcare costs post influenza-related pneumonia diagnosis date or the randomly selected index date among cases were higher when compared to controls ($28,051 vs. $6037 for 30 days; $37,082 vs. $13,309 for 90 days; $46,835 vs. $23,399 for 6 months; $64,052 vs. $43,976 for 1 year; p < 0.001 for all). The major costs driver was predominantly in the inpatient setting where influenza-related pneumonia cases incurred $19,740 more than controls within 30 days, $20,896 within 90 days, $20,319 within 6 months and $18,401 within 1 year of follow-up (all p < 0.001). All healthcare cost results were cumulative.

Fig. 2.

PSM adjusted all-cause healthcare costs among hospitalized influenza patients with vs. without influenza-related pneumonia

Discussion

This real-world retrospective data study quantified the burden of pneumonia among hospitalized patients with influenza using a large US managed care population. Overall, 48% of influenza patients were initially hospitalized within 0–1 day of diagnosis. After controlling for baseline differences using PSM, the baseline characteristics were well balanced between hospitalized influenza patients with influenza-related pneumonia (cases) versus influenza patients without (controls).

The findings of this study suggest that pneumonia as a complication of influenza increases the risk of mortality and hospital re-admission and also leads to greater HCRU and direct medical costs among patients hospitalized with influenza. The impact of pneumonia on these outcomes was evident particularly during the index hospitalization and within the first 30 days after diagnosis; however, their effects continued during the course of the first year of follow-up.

In most influenza cases, the infection is a self-limiting disease that resolves on its own without the risk of developing serious complications [21–23]. However, most of the resulting morbidity and mortality in influenza patients is due to complications, with pneumonia being the most prevalent complication of influenza [5, 24]. The average age of this study population was 76 years, which is consistent with previous findings that adults aged ≥ 65 years are at high risk of developing pneumonia and being hospitalized [5, 10, 25]. This risk, as well as the risk for subsequent reinfection and slow recovery, may remain elevated for several months. The current guidelines recommend both influenza and pneumococcal vaccines in patients aged > 65 years [26]. However, the uptake for both vaccinations is low in this high-risk population [26]. The results of this study underscore the need to prevent and reduce the risk of pneumonia in the elderly population alongside the associated burden in mortality and morbidity.

During the index hospitalization, case patients with influenza-related pneumonia remained in the hospital 5 days longer than controls; they were also more likely to be in the ICU and require MV and incurred more than $13,743 compared to controls. These findings are consistent with studies that have demonstrated that the duration of influenza associated hospitalization averages 4–8 days: this is dependent of several factors including patient’s age, the nature of complications and comorbidities, and whether patients require the use of MV, which may impact hospital LOS [27–30]. These factors potentially lead to increased economic burden.

In our study, we found significant 30-day readmission percentage differences between our cases and controls. Similar work calculating 30-day readmission among Canadian patients hospitalized with acute respiratory distress with laboratory-confirmed influenza calculated their 30-day readmission to be 5.7% [31]. While our results seem different, the 30-day readmission of our pooled population is 7.9%. The difference we are observing in our cohorts may be representative of the spectrum of influenza patients hospitalized and then readmitted.

It is known that influenza-related pneumonia has long been associated with increased morbidity and mortality [25, 29, 32]. In addition, deaths caused by influenza are usually due to complications including secondary pneumonia or worsening of an underlying condition. Previous studies have reported varying mortality rates from 11.78 per 100,000 person-years in the general population to 100 per 100,000 person-years in the Veterans Affairs population [15, 25]. Mortality rates as high as 141.15 per 100,000 person-years have been noted for older adults aged ≥ 75 compared to adults aged 65–74 [10, 25]. Between October 2017 and January 2018, the weekly percentage of deaths attributed to pneumonia and influenza has ranged from 5.8 to 10.1% [33]. Both cases and controls cohorts in this study were elderly hospitalized influenza patients with a close comorbidity profile during the baseline period. However, having influenza-related pneumonia increased the risk of mortality by ~ 7% during the first 30 days post influenza-related pneumonia diagnosis. This risk remained elevated by the end of the first year of follow-up.

Previous studies have also focused exclusively on patients with influenza-related complications [4, 9, 34]. Our results were consistent with those of a previous study in which administrative claims were also used to analyze healthcare costs and HCRU between influenza patients with and without influenza-related complications [4]. Both healthcare costs and HCRU were found to be higher among influenza patients with complications and critical illnesses necessitating hospitalization [4]. Among influenza patients in large commercial claims database, Karve et al. estimated mean predicted total healthcare costs to be twice as high for influenza patients with influenza-related complications versus those without ($3422 vs. $1510) at the end of the 1-year follow-up period [4]. Our study found differences in costs between cases versus controls; however, our estimated costs were significantly higher for both cohorts ($64,052 vs. $43,976). It should be noted that Karve et al. did not require influenza patients to have an inpatient visit and did not restrict the timeframe for the outcome of the index influenza-related complication [4]. Additionally, their list of influenza-related complications was much more inclusive than ours and included various other conditions including acute otitis media, cardiovascular disease, and respiratory disorders [4].

Putri et al. focused on estimating the economic burden of influenza regardless of the incidence of complications [34]. The authors used previously published health outcome rates and age-specific symptomatic attack rates for seasonal influenza to estimate the direct and indirect costs of influenza, including the costs of hospitalizations among patients with specified influenza ICD codes [34]. Their mean estimated costs for hospitalized patients aged 65–84 (mean: $8330) falls in between the mean costs of both cohorts’ index hospitalization cost (mean: $18,221 vs. $4478) [34]. Subsequent costs for our case patients are higher, as these are the patients that developed pneumonia—requiring further HCRU.

To our knowledge, this is the largest retrospective observational study to compare the risk of ICU admission, mechanical ventilation use, hospital re-admission, mortality and economic burden in patients with a pneumonia diagnosis within 30 days of a hospitalization for influenza compared to patients who did not have a diagnosis of pneumonia in the 30 days after influenza hospitalization. There is a need for early and appropriate management of hospitalized influenza patients with influenza-related pneumonia. The findings from this study have demonstrated that complications resulting from influenza infection—particularly pneumonia—can lead to increased morbidity including longer hospital stay, ICU and MV utilization, risk of mortality, and increased HCRU and costs, especially in the elderly population. The need for early and appropriate management to avoid influenza-related complications has become even more emergent during the COVID-19 pandemic, which may place influenza patients in competition with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) patients for already scarce hospital resources.

Limitations

Our study had multiple limitations that need to be taken into consideration. While claims data are extremely valuable for the efficient and effective examination of healthcare outcomes, resource use, and costs, claims data are collected for the purpose of payment and not research. Therefore, certain limitations are associated with claims data use. Given the observational nature of the study, only associations without causal linkage can be inferred. Pneumonia diagnoses were captured based on ICD-9/ICD-10 codes and not based on clinical parameters. The presence of an ICD-9/ICD-10 diagnosis code for pneumonia on a medical claim does not necessarily indicate the presence of the condition which may have resulted in patient misclassification. Influenza diagnosis was also identified using ICD-9/ICD-10 codes as opposed to laboratory data which could have led to the inclusion of influenza-like illness. Retrospective claims analyses are subject to coding errors or incorrectly entered diagnoses that were primarily coded for reimbursement purposes rather than clinical accuracy, therefore, some medical information may be unavailable or inaccurate.

Conclusions

Influenza-related pneumonia among those hospitalized with influenza led to an increased risk of mortality and greater HCRU and direct medical costs. These effects were seen early during the index hospitalization in the form of longer LOS and greater MV and ICU use and continued within the first 30 days after influenza diagnosis, but their impact remained throughout a year of follow-up. These findings demonstrate the need for treatments that reduce influenza complications—especially during the index hospitalization and in the 30 days after an influenza diagnosis.

Supplementary Information

Below is the link to the electronic supplementary material.