The Effects of Intravenous Diuretics on the Use of Mechanical Ventilation on Covid 19 Patients requiring Supplemental Oxygen: A Propensity Score Matched Observational Study

doi:10.21203/rs.3.rs-3098134/v1

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The Effects of Intravenous Diuretics on the Use of Mechanical Ventilation on Covid 19 Patients requiring Supplemental Oxygen: A Propensity Score Matched Observational Study

https://doi.org/10.21203/rs.3.rs-3098134/v1

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Objective

To examine the effects of intravenous diuresis on the use of mechanical ventilation in Covid patients requiring supplemental oxygen.

Methods

983 hospitalized adult patients with Covid 19 infections needing supplemental oxygen at XXX between March 2020 to February 2022 were included in the study. The primary outcome was the use of mechanical ventilation. We compared the outcome in patients who were exposed to intravenous furosemide before mechanical ventilation to those patients who were not exposed to intravenous furosemide during hospitalization using propensity-score matching analysis.

Results

Among the 983 patients who received intravenous furosemide, 186 (18.9%) patients required mechanical ventilation. Of the 491 patients who did not receive intravenous furosemide during hospitalization, 102 (20.7%) required mechanical ventilation. There was a significant negative association between patients exposed to intravenous furosemide who required mechanical ventilation than those who did not receive intravenous furosemide who required mechanical ventilation. (Odds Ratio of 0.37; 95% Confidence Interval 0.21 to 0.66; P value < 0.01)

Conclusions

In this retrospective cohort study involving a moderately sized sample of hospitalized Covid 19 patients who required supplemental oxygen, intravenous diuresis was significantly associated with lower use of mechanical ventilation compared to those that were not exposed to intravenous diuresis (adjusted Odds Ratio 0.37; 95% Confidence Interval 0.21 to 0.66; P value < 0.01)

Health sciences/Diseases/Respiratory tract diseases/Respiratory distress syndrome

Health sciences/Diseases/Infectious diseases/Viral infection

Infections from the Coronavirus 2 (SARS-CoV-2), the virus that causes Coronavirus disease in 2019 to 2023 now number more than 104 million in the United States. (1) A subset of these patients developed a more severe form of the disease characterized by acute respiratory distress syndrome and respiratory failure (2). Subsequently, mechanical ventilation was common and has been associated with high rates of morality in Covid 19 patients (3). The COVID-19 epidemic revealed the vulnerability of healthcare systems and how they can rapidly be overloaded in excess of the available ICU beds and ventilator capacity. (19) The number of ventilators and critical care beds had reach maximum capacity, which strained resources and may have ultimately cost patient lives. Nearly eight in ten hospitalized Covid patients required supplemental oxygen and as many as one third of these patients were mechanically ventilated (4, 5, 6, 7). High intensive care unit occupancy has been linked to worse patient outcomes, including mortality (4, 8, 9). Ultimately, the emergence of the coronavirus disease in 2019 (COVID-19) led to high demand for intensive care services worldwide (23).

The use of diuretics has been studied in critical ill patients, specifically in acute respiratory distress syndrome (34). Recent literature advocates for a conservative fluid strategy in acute respiratory distress syndrome patients (57). However, little data exists on the Covid 19 patients who develop acute respiratory distress syndrome and the effects of diuresis on mechanical ventilation. To our knowledge, no or few studies have evaluated the association between intravenous diuretics and the use of mechanical ventilation in moderate to severe Covid 19 patients.

We therefore undertook this study to evaluate the effects of intravenous diuretics on the use of mechanical ventilation in moderate to severe Covid 19 patients. We designed a retrospective cohort study to examine the association between intravenous diuretics and the use of mechanical ventilation on hospitalized COVID-19 patients requiring supplemental oxygen.

Setting and Data

We conducted this retrospective cohort study at The University of Chicago Medical Center in Chicago, Illinois. The study protocol was approved by the University of Chicago Biological Sciences Division/The University of Chicago Medical Center’s Institutional Review Board (IRB) Committee. Patient informed consent was waived by the University of Chicago Biological Sciences Division/The University of Chicago Medical Center’s IRB because the data was analyzed anonymously. All research was performed in accordance with relevant guidelines and regulations by the University of Chicago Biological Sciences Division/The University of Chicago Medical Center. The data was obtained from the COVID Datamart maintained by the Center for Research Informatics at The University of Chicago Medical Center. The COVID Datamart contains all clinical data available on all inpatient and outpatient visits to the University of Chicago Medical Center facilities. No data were manually abstracted from the electronic medical record or charts. The data obtained included patients’ demographics (age, gender, and race/ethnicity), vital signs, laboratory test results, imaging test results, medication administration data, historical and current medication lists, historical and current diagnoses, hospital discharge and procedure diagnoses. All personal health-identifying information was de-identified, and data were extracted using an electronic coding system to maintain confidentiality. International Classification of Diseases (ICD)-9 and ICD-10 codes were pulled from the index hospitalization to construct comorbidity variables using the Elixhauser Comorbidity Software.

Study Sample

Study sample included adult patients age 18 or above who had a positive test result for SARS-CoV-2 from March 2020 to February 15, 2022, were hospitalized within 2 days before and 14 days after their positive test, and who received supplemental oxygen support (including nasal cannula mask, venturi mask, non-rebreather mask or high flow nasal cannula mask) during first two days of hospitalization. Patients were excluded if they were “do not intubate” or “do not resuscitate” or had prior diuretics (Furosemide) use within 12 months prior to COVID-19 hospitalization admission date. Patients were defined as receiving intravenous diuretic (Furosemide) if they received the medication before the start of ventilation versus those who were not exposed to intravenous diuretic at all during hospitalization. The study’s design is illustrated in Figure #1.

End Points

The primary endpoint was mechanical ventilation, defined as the patient requiring either noninvasive or invasive mechanical ventilation at any point during the hospitalization.

Statistical Analysis

We performed all statistical using Stata M16 and R version 4.1.1 statistical software. Baseline patient characteristics are summarized using mean and standard deviation for continuous variables and as numbers and percentages for categorical variables. Chi squared tests were conducted to detect differences in baseline characteristics. Fisher’s exact test was used in cases of cell sizes < 5.

A propensity score method was used to account for confounders using R’s MatchIt package. The variables included in the propensity score calculation were chosen in based on association with intravenous diuretic exposure. A nearest neighbor match without replacement and a caliper of 0.2 was used.

We assessed ventilation status between the intravenous diuretic and no intravenous diuretic groups using unadjusted and adjusted logistic regression. Adjusted models included covariates for demographics, comorbidities, COVID-19 specific therapies (Dexamethasone, Remdesivir, and Tocilizumab), length of stay, and ICU admission.

We conducted multiple sensitivity analyses including a smaller, 0.1 Caliper in the Propensity Score Matching Analysis, Adjusted Multivariable Logistic Regression Analysis and a Competing Risk Regression Analysis, where death was the competing risk.

Cohort Characteristics

There were 981 patients included in our sample. Of these, 491 (50%) received intravenous diuretic prior to ventilation and 490 did not received any intravenous diuretic exposure during hospitalization. The cohort characteristics are presented in Table #1.

Table #1. Baseline Characteristics of the Overall Cohort

	No IV diuretic use at all during hospitalization (N = 491)		IV diuretic use during hospitalization before ventilation (N = 492)		p-value
	N	%	N	%
Age (mean)	52.2		59.3		0.000
Female	243	49.5	237	48.2	0.679
Race
Black	431	87.8	404	82.1	0.035
White	35	7.1	46	9.3
Other	25	5.1	42	8.5
Hispanic	23	4.7	37	7.5	0.063
Comorbidities
CHF	29	5.9	25	5.1	0.570
Cirrhosis	6	1.2	3	0.6	0.341
Sepsis	7	1.4	4	0.8	0.385
Renal Insufficiency	4	0.8	1	0.2	0.217
CKD	28	5.7	21	4.3	0.302
ESRD	30	6.1	7	1.4	0.000
Hypertension	100	20.4	100	20.3	0.987
Diabetes	60	12.2	70	14.2	0.353
Obesity	291	59.3	329	66.9	0.014
COPD	30	6.1	21	4.3	0.193
Asthma	41	8.4	20	4.1	0.005
Hypernatremia	3	0.6	0	0.0	0.124
Hyponatremia	7	1.4	6	1.2	0.777
Hyperkalemia	17	3.5	7	1.4	0.038
Hypokalemia	22	4.5	8	1.6	0.009
Kidney Failure	21	4.3	17	3.5	0.504
Length of Stay (mean)	7.4		11		0.000
ICU admission	95	19.3	182	37.0	0.000
Drug Exposure
Previous Diuretic	31	6.3	35	7.1	0.616
Previous Vasopressor	50	10.2	56	11.4	0.530
Tocilizumab during hospitalization	19	3.9	65	13.2	0.000
Dexamethasone during hospitalization	189	38.5	281	57.1	0.000
Remdesivir during hospitalization	239	48.7	369	75.0	0.000

Propensity Score Matched Analysis

After the propensity score matching for the receipt of intravenous furosemide, our sample included 754 patients. The propensity score matching was successful with no statistically significant baseline differences between the groups. The mean age in our cohort was 58.9 years, was predominantly Black (97.3%), and 11.8% had received at least one dose of COVID-19 vaccination before their positive COVID-19 test. The baseline cohort characteristics before and after the propensity score matching are presented in Tables #2 and #3 reespectively.

Table #2: Baseline Cohort Characteristics Before Propensity Score Matching

	No IV diuretic use at all during hospitalization (N = 490)		IV diuretic use during hospitalization before ventilation (N = 491)		p-value
	N	%	N	%
Demographics
Age (mean)
Female	243	49.6	237	48.3	0.67
Race
Black	430	87.8	404	82.4	0.05
White	35	7.1	46	9.4
Other	25	5.1	21	4.3
Comorbidities
Congestive Heart Failure	29	5.9	25	5.1	0.57
Cirrhosis	6	1.2	3	0.6	0.34
Acute Kidney Injury	4	0.8	1	0.2	0.19
Chronic Kidney Disease	28	5.7	21	4.3	0.30
Hypertension	100	20.4	100	20.4	0.99
Diabetes	60	12.2	70	14.3	0.35
COPD	30	6.1	21	4.3	0.19
Labs
Elevated Serum Creatinine/BUN	1	0.2	1	0.2	1.00
Hyponatremia	3	0.6	2	0.4	0.69
Hyperkalemia	6	1.2	3	0.6	0.34
Physical Exam		0.0
Weight (mean)	85.4 kg		100.7 kg		0.00
O2 dependence	4	0.8	1	0.2	0.22
Leg Edema	1	0.2	2	0.4	1.00
Pulmonary Edema	0	0.0	0	0.0	1.00
Dyspnea	5	1.0	2	0.4	0.29
Fluid Balance	0	0.0	0	0.0	1.00
Systolic/	128		132		0.01
Diastolic BP (mean)	78		80		0.06
Drug Exposure
Previous Diuretic	31	6.3	35	7.1	0.62
Previous ACE Inhibitors	31	6.3	36	7.3	0.53
Previous Beta Blocker	39	8.0	48	9.8	0.32
COVID Vaccination	63	12.9	49	10.0	0.16

Table #3: Baseline Cohort Characteristics After Propensity Score Matching

	No IV diuretic use at all during hospitalization (N = 377)		IV diuretic use during hospitalization before ventilation (N = 377)		p-value
	N	%	N	%
Demographics
Age (mean)	58.9 years		58.9 years		0.98
Female	186	49.3	190	50.4	0.77
Race
Black	329	87.3	314	83.3	0.25
White	28	7.4	33	8.8
Other	20	5.3	30	8.0
Comorbidities		0.0
Congestive Heart Failure	19	5.0	22	5.8	0.65
Cirrhosis	2	0.5	3	0.8	1.00
Acute Kidney Injury	0	0.0	1	0.3	1.00
Chronic Kidney Disease	18	4.8	19	5.0	0.87
Hypertension	84	22.3	82	21.8	0.86
Diabetes	49	13.0	58	15.4	0.35
COPD	20	5.3	20	5.3	1.00
Labs
Elevated Serum Creatinine/BUN	1	0.3	1	0.3	1.00
Hyponatremia	1	0.3	1	0.3	1.00
Hyperkalemia	3	0.8	3	0.8	0.66
Physical Exam
Weight (mean)	93.5 kg		97.2 kg		0.08
O2 dependence	2	0.5	1	0.3	1.00
Leg Edema	1	0.3	1	0.3	1.00
Pulmonary Edema	0	0.0	0	0.0	1.00
Dyspnea	1	0.3	2	0.5	1.00
Fluid Balance	0	0.0	0	0.0	1.00
Systolic/ Diastolic BP (mean)	131/ 80		133/ 81		0.22/ 0.30
Drug Exposure
Previous Diuretic	25	6.6	28	7.4	0.67
Previous ACE Inhibitors	23	6.1	28	7.4	0.47
Previous Beta Blocker	33	8.8	40	10.6	0.39
COVID Vaccination	46	12.2	43	11.4	0.74

Mechanical Ventilation

Among the 754 patients included in the analysis, 122 patients (16.2%) required mechanical ventilation in their index COVID hospitalization. Figure 2 illustrates the number of mechanical ventilations in those patients exposed to intravenous furosemide compared to those patients not exposed to intravenous furosemide. In the unadjusted analysis, there was no significant association between patients who had received intravenous diuretic and the primary endpoint compared to those who did not receive intravenous diuretic (unadjusted odds ratio 1.08, 95% CI 0.73–1.59). In the multivariable regression analysis adjusting for demographic variables, comorbidities, medication history, ICU admission, LOS, and COVID-19 vaccination, there was a significant lower odds ratio associated with intravenous diuretic and mechanical ventilation compared to those who did not receive intravenous diuretic (adjusted OR 0.37, 95% CI 0.21–0.66) (p-value = 0.001) as shown in Table #4.

Table #4: Mechanical Ventilation during index COVID Hospitalization

		Adjusted analyses: OR (95% CI)
	Unadjusted OR (95% CI)	Adjusted for demographic variables¹	Adjusted for demographic variables and comorbidities²	Adjusted for demographic variables, comorbidities, medication history, ICU, LOS, vaccination³
Ventilation during index COVID hospitalization	1.08 (0.73, 1.59)	1.08 (0.73, 1.60)	1.13 (0.76, 1.68)	0.37 (0.21, 0.66)**
* p < .05; p < .01; * p < .001
¹ Sex, age, race, ethnicity
² Sex, age, race, ethnicity, CHF, cirrhosis, sepsis, CKD, ESRD, hypertension, diabetes, obesity, COPD, asthma
³ Sex, age, race, ethnicity, CHF, cirrhosis, sepsis, CKD, ESRD, hypertension, diabetes, obesity, COPD, asthma, prior diuretic use, prior vasopressor use, remdesivir use, dexamethasone use, tocilizumab use, length of stay, ICU admission, COVID-19 vaccination

Sensitivity Analyses

A sensitivity analysis using a smaller caliper for propensity score matching (0.1) found similar results (unadjusted OR 1.04, 95% CI 95% 0.69–1.58, p-value = 0.833; adjusted OR 0.29, 95% CI 0.15–0.58, p-value < 0.001) is presented in Table #5. The second sensitivity analysis using adjusted multivariable regression analysis showed similar results (adjusted OR 0.48, 95% CI 0.30–0.76) (p-value < 0.05)) as presented in Table #6. The third sensitivity analysis using a risk competing regression analysis, where death was the competing risk, found no significant association between the competing risk and the primary outcome in the adjusted analysis (Odds Ratio 1.50 95% CI 0.93, 2.40) is shown in Table #7. In the competing risk regression analysis, individuals were excluded if they were mechanically ventilated or discharged on the same day as their admission date (no time at risk).

Table #5: Sensitivity Analysis #1: Ventilation during index COVID hospitalization, using Matching Caliper 0.1

		Adjusted analyses: OR (95% CI)
	Unadjusted OR (95% CI)	Adjusted for demographic variables¹	Adjusted for demographic variables and comorbidities²	Adjusted for demographic variables, comorbidities, medication history, ICU, LOS, vaccination³
Ventilation during index COVID hospitalization	1.04 (0.70, 1.58)	1.04 (0.70, 1.60)	1.07 (0.70, 1.64)	0.29 (0.15, 0.57)***

N = 710

* p < .05; ** p < .01; *** p < .001

¹ Sex, age, race, ethnicity

² Sex, age, race, ethnicity, CHF, cirrhosis, sepsis, CKD, ESRD, hypertension, diabetes, obesity, COPD, asthma

³ Sex, age, race, ethnicity, CHF, cirrhosis, sepsis, CKD, ESRD, hypertension, diabetes, obesity, COPD, asthma, prior diuretic use, prior vasopressor use, remdesivir use, dexamethasone use, tocilizumab use, length of stay, ICU admission, COVID-19 vaccination

Table #6: Sensitivity Analysis #2: Adjusted Multivariable Regression Analysis

Mechanical Ventilation during index COVID Hospitalization

		Adjusted analyses: OR (95% CI)
	Unadjusted OR (95% CI)	Adjusted for demographic variables¹	Adjusted for demographic variables and comorbidities²	Adjusted for demographic variables, comorbidities, medication history, ICU, LOS³
Ventilation during index COVID hospitalization	0.79 (0.57, 1.08)	0.94 (0.67, 1.32)	1.05 (0.74, 1.50)	0.48 (0.30, 0.76)*
* p < .05; p < .01; * p < .001
¹ Sex, age, race
² Sex, age, race, CHF, cirrhosis, sepsis, acute renal insufficiency, CKD, ESRD, hypertension, diabetes, obesity, COPD, asthma
³ Sex, age, race, CHF, cirrhosis, sepsis, acute renal insufficiency, CKD, ESRD, hypertension, diabetes, obesity, COPD, asthma, prior diuretic use, prior vasopressor use, remdesivir use, dexamethasone use, tocilizumab use, length of stay, ICU admission

Table #7: Sensitivity Analysis #3: Competing Risk Regression Analysis between the Primary Outcome and Death

*p < .05; ** p < .01; *** p < .035

¹Sex, age, race

²Sex, age, race, CHF, cirrhosis, sepsis, acute renal insufficiency, CKD, ESRD, hypertension, diabetes, obesity, COPD, asthma

Some individuals were excluded if they were ventilated or discharged on the same day as their admission date (no time at risk

Our research showed that among a moderately sized sample of patients who were hospitalized with Covid 19 requiring supplemental oxygen, patients exposed to intravenous furosemide was significantly associated with a lower use of mechanical ventilation compared to those that were not exposed to intravenous furosemide (adjusted Odds Ratio 0.37, 95% CI 0.21–0.66 p-value < 0.05). However, given the observational design of the study and the relatively wide confidence interval, the results of the study should not be taken to mean all Covid 19 patients should receive intravenous diuresis.

It appears the overall pathophysiology and clinical course of COVID-19-related lung injury suggests that it is broadly similar to other forms of virally-mediated acute respiratory distress syndrome. (59) The likely mechanism involved decreasing pulmonary edema with diuresis in Covid 19 patients who developed acute respiratory distress syndrome, resulting in improved gas exchange and oxygenation. This is similar to other strategies such as “keeping the lungs dry” and “maintaining a slightly negative fluid balance,” typically seen in the management of acute respiratory distress syndrome in non-Covid patients (13).

Our results support the use of intravenous diuresis as tolerated in hospitalized Covid 19 patients requiring supplemental oxygen to decrease the risk of mechanical ventilation. Noteworthy, one of the clinical practices during the Covid 19 pandemic was to intubate Covid 19 patients who showed acute respiratory failure or distress, early. Despite this, our study showed intravenous diuresis was still effective in reducing the use of mechanical ventilation in severe Covid 19 patients. More importantly, our results could have implications in the acute management of possible future viral outbreaks whose disease course is complicated by severe respiratory injury.

Reynolds, who was the first to report on anti-hypertensive agents such as hydrochlorothiazide in COVID-19 patients, found no statistically significant association between their use and adverse effects or the severity of Covid 19 disease (57). In our study, we specifically focused on only diuretics and mechanical ventilation. In another study, Tsolaki suggested cautious use of diuretics in mechanically ventilated COVID-19 patients and hypothesized detrimental effects by exacerbating heart-lung interactions, especially when a strategy of increased PEEP was applied (58). However, the paper focused on COIVD- 19 patients already on mechanical ventilation, while our study examined patients before the initiation of mechanical ventilation (58). Another study showed that among patients hospitalized with COVID-19, the baseline use of diuretics did not have a significant impact on the mortality or severity of the illness (56). The study only look at oral diuretics (56) while in our research chose to study intravenous diuretics because they were more likely to achieve effective volume removal when compared to oral diuretics.

The risk of unmeasured confounding cannot be fully dismissed in any observational study. One interpretation of our results is that selection bias likely existed in which patients the clinician(s) decided to give intravenous diuretics to. The patient population who received intravenous diuretics were likely to be different compared to the population of patients whose clinician(s) decided not to give intravenous diuretics. With that said, propensity score matching whose aim is to create an overall balance between comparison groups, was used to better account for this potential bias for the receipt of intravenous furosemide. In our propensity score matching analysis, an overall 76.6% of the patients (754 of the original 984) were paired. In particular, comorbidities, along with medications and laboratory values were all well matched between the comparison groups. Notably, the acute severity of the illness, characterized in one way by the use of low flow Nasal Cannula versus high flow Nasal Cannula, was not included in the propensity score analysis because it had already been accounted for in the study. All of the patients included in this study were either those on low flow Nasal Cannula, Venturi Mask, non-Rebreather Mask or high flow Nasal Cannula during the hospitalization. It should be noted, despite propensity score matching analysis, there may still be residual unmeasured confounder(s) affecting the results.

The study adjusted for likely confounders such as age, race, obesity, chronic kidney disease, diabetes, hypertension, chronic lung disease and congestive heart failure. In addition, medication administration, specifically Covid 19-specific therapies used during hospitalization were adjusted for because Remdesivir (an antiviral agent), Dexamethasone (a steroid) and Tocilizumab (an Interleukin-6 Receptor Antibody) have all been shown to decrease lung inflammation, and theoretically could effect the need for mechanical ventilation. The patient’s Covid Vaccination Status was also included in the analysis for similar reasons. Confidence in the results is supported by the multiple sensitivity analyses performed, all of which showed unchanged conclusions. The consistency of the results across the sensitivity analyses is reassuring.

One limitation in our study was it only examined intravenous furosemide and not other types of diuretics such as bumetanide or oral diuretics. The single center design may limit generalizability of these results. Most of the studied cohort was of a single race (Black 82.6%) which could limit generalizability. We did not use objective variables, such as PaO2:Fio2 ratio to define hypoxia. One possible limitation is the potential bias introduced by the study’s definition of intravenous diuretic exposure, which was defined as receiving intravenous furosemide at any point prior to mechanical ventilation initiation. If mechanical ventilation was initiated earlier in a patient's stay, they therefore, may have had less time to be exposed to intravenous diuretics, which could have resulted in biased results. With that said, at the hospital this study was carried out at, during most of the pandemic intravenous diuretics was recommended to be given as tolerated to Covid 19 patients who were hypoxic and thus likely would have helped mitigated this potential bias. Also, due to small sample sizes, some covariates in adjusted models do not have observations in all levels of the coviarate. In this case, the covariate is dropped from the model. Finally, due to the observational nature of this study, a randomized clinical trial is the best approach to determine whether any benefit from intravenous diuresis can be attributed to Covid 19 patients.

Further research should be aimed at examining the effects on mortality. One question that is raised by our study: if intravenous diuresis decreases mechanical ventilation, does it also decrease the severity of Covid 19 disease? Specifically, the progression to acute respiratory distress syndrome? Other research could focus on if acute dialysis shows similar results. Studying the effect of diuresis on the viral load of Covid 19 is interesting, as a case report from China showed the isolation of SARS-CoV-2 from the urine of a Covid 19 patient (29). Finally, investigating the effects of diuresis on the long-term complications of Covid 19 such as “long Covid” is another potential area of research.

In conclusion, we identified that intravenous diuresis decreases the use of mechanical ventilation in Covid 19 patients requiring supplemental oxygen.

Data Availability

The datasets generated and/or analyzed during the current study are not publicly available because the authors were not using primary data, but rather secondary data owned by the University of Chicago Biologic Sciences Division/The University of Chicago Medical Center which is governed by an Institutional Review Broad, but are available from the corresponding author on reasonable request and with permission of the University of Chicago Biologic Sciences Division/The University of Chicago Medical Center’s Institutional Review Board.

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No competing interests reported.

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The Effects of Intravenous Diuretics on the Use of Mechanical Ventilation on Covid 19 Patients requiring Supplemental Oxygen: A Propensity Score Matched Observational Study

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