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Respiratory Viral Infections in Cancer Patients: Epidemiological, Clinical and Cost-Effectiveness study from a Developing Country

Article Information

Nitin Bansal1*, Neelam Sachdeva2, Dinesh Bhurani3, Gauri Kapoor4, Pinky Yadav5, Sumit Goyal6, Vineet Talwar6, Ullas Batra6

1Infectious Diseases, Rajiv Gandhi Cancer Institute, New Delhi, India

2Microbiology, Rajiv Gandhi Cancer Institute, New Delhi, India

3Hematology, Rajiv Gandhi Cancer Institute, New Delhi, India

4Pediatric Oncology, Rajiv Gandhi Cancer Institute, New Delhi, India

5Medical Superintendent, Rajiv Gandhi Cancer Institute, New Delhi, India

6Medical Oncology, Rajiv Gandhi Cancer Institute, New Delhi, India

*Corresponding Author: Nitin Bansal, Infectious Diseases, Rajiv Gandhi Cancer Institute, New Delhi, India.

Received: 29 June 2022; Accepted: 25 July 2022; Published: 01 August 2022

Citation: Nitin Bansal, Neelam Sachdeva, Dinesh Bhurani, Gauri Kapoor, Pinky Yadav, Sumit Goyal, Vineet Talwar, Ullas Batra. Respiratory Viral Infections in Cancer Patients: Epidemiological, Clinical and Cost-Effectiveness study from a Developing Country. Journal of Cancer Science and Clinical Therapeutics 6 (2022): 281-287.

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Abstract

Background: Diagnosis of respiratory viral pathogens can lead to therapeutic changes, improvement in infection control practices and reduction in use of antibiotics.

Methods: This is a retrospective study which looked into the case records of patients (June 2020-Dec 2021) who were diagnosed with a respiratory viral infection. Demographic, clinical and antibiotic prescription patterns of these patients were studied. Inter-group analysis was done between antibiotic de-escalation cohort and non-descalation cohort.

Results: Total of 57 patients were identified with median age of 40 years (range: 3-68). Hematological malignancies were present in 45 (78.9%) of patients, whereas 14 (24.5%) patients were stem cell transplant recipients. Severe neutropenia was seen in 32 (56.1%) patients with median duration of neutropenia of 7 (range 5-20) days. RSV (36.8%) was the most common virus detected. Antibiotic de-escalation was done in 33 (57.8%) of patients and in 13 (22.8%) bacterial co-infection was diagnosed. More than 3/4th patients were shifted to isolation and nearly 9000 INR per patient were saved by de-escalation of antibiotics. On inter-group analysis, non-deescalation cohort had longer length of stay (10 vs 3 days; p =0.005), no antibiotic cost reduction (0 vs 9620; p=0.0003), higher mortality (16.6% vs 0%; p =0.01) & higher rhinovirus detection rates (41.6% vs 3%; p=0.0002).

Conclusion: Diagnosis of respiratory viral infection helped in improving antibiotic stewardship and infection control practices.

Keywords

Respiratory Viral Infections; Oncology; Febrile Neutropenia; Antibiotic Stewardship; Antibiotic De-escalation

Respiratory Viral Infections articles; Oncology articles; Febrile Neutropenia articles; Antibiotic Stewardship articles; Antibiotic De-escalation articles

Article Details

Abbreviations:

RSV: Respiratory Syncytial Virus; INR: Indian National Rupee; AMS: Anti-microbial stewardship; ANC: Absolute Neutrophill count; PCR: Polymerase Chain Reaction; IDSA: Infectious Diseases Society of America

1. Introduction

Management of infection in patients who are undergoing cancer therapy is challenging from clinicians, hospital administrators and patient point of view. Cancer therapy and sometimes malignancy per-se can make these patients vulnerable to multiple infections. Since cancer therapy is prolonged and treatment duration may range from months to years, these patients may get infected multiple times, which makes these patients physically, emotionally and financially vulnerable. Infection by respiratory viruses is very common in oncological settings and throws unique challenges in diagnostic, clinical management, and infection control aspects. Diagnosis of respiratory viral pathogen relies heavily on molecular technology, which is not widely available across Indian clinical laboratories. But, with COVID-19 pandemic, importance of quick and reliable diagnosis of a respiratory viral pathogen has been emphasized. Our centre (tertiary care dedicated cancer centre in north India), strengthened its diagnostics by acquiring 2 multiplex panel (Biofire- detects 23 pathogens & Cephied Xpert Xpress FLU/RSV- detects 3 pathogens), both of which have found to have good sensitivity, specificity and good clinical impact [1, 2]. Diagnosing, a respiratory viral infection in oncology patients opens up another few sets of dilemmas, particularly in a patient who is having severe neutropenia. Antibiotic de-escalation after a diagnosis of respiratory viral pathogen in febrile neutropenic patient has not been well studied and various guidelines either recommend clinicians’ discretion or avoid giving any recommendation [3]. In the era of multi-drug resistant gram-negatives, it is also imperative to practice good Antibiotic Stewardship (AMS) practices and many published articles exist which prove that AMS leads to good clinical outcomes in oncological settings [4, 5]. Further, these patients need to be shifted to transmission based (contact, droplet or airborne) isolation precautions, which require single rooms with dedicated infrastructure and man power [6]. Many Indian hospitals including ours have mostly multi-bedded wards with few single rooms. With this in background, we planned this study with objectives of understanding the epidemiology and clinical outcomes of patients who were detected to have a respiratory viral infection and also change in the antibiotic prescription practices and cost savings (if any) in these patients.

2. Methodology

It was a retrospective, single center study conducted in a tertiary care centre in North India. We reviewed case records of patients whose respiratory tract sample was found to have a respiratory virus from the period of June 2020 till Dec 2021. We collected demographic data (age and sex), clinical features (baseline malignancies, clinical presentation, neutropenia), radiological features, intervention done by the clinician (antibiotic prescription changes, adding of specific therapy for viral infection), antibiotic cost savings, clinical outcomes and change in infection control practices after a respiratory viral infection was diagnosed. We excluded patients with SARS COV-2 as standard treatment has changed over time as pandemic has evolved and requires a separate analysis all together. We divided our cohort into two groups. Group A comprised on patients in whom antibiotics were de-escalated upon detection of respiratory viral infection and Group B comprised of patients in whom antibiotics were not de-escalated or escalated. We did an intergroup analysis of these two groups and used student t test and chi-square test to study various parameters.

2.1. Antibiotic cost calculation

Antibiotics prescribed to the patients are of different brands with varying costs so for uniformity in calculation, brand with lowest cost were taken (Details in supplementary Table). It was assumed that a patient would have got the prescribed antibiotic for at least 7 days if the viral pathogen was not detected (a common practice in oncology settings particularly in neutropenia). Cost of antibiotic saved was calculated (for a particular patient) as per following formula:

Cost saved (for a particular patient) = Total cost of antibiotic prescribed for 7 days – Cost of antibiotic which that patient actually received De-escalation of antibiotic was defined as one of the following; a) stopping all antibiotics b) shifting from a broad spectrum agent to a narrow spectrum agent.

3. Results

We found a total of 57 patients (Table 1) which were found a respiratory viral panel detected in their respiratory sample (nasopharyngeal or oropharnygeal swab or a bronchoscopic alveolar lavage) during the study period. Median age of patients was 40 years (range: 3-68), out of which 38 (66.6%) were males. Hematological malignancies (45; 78.9%) were most common followed by solid organ tumors (10; 17.5%). Non-oncological conditions like thalessemia and aplastic anemia was seen in 2 patients. Total of 14 (24.5%) patients got respiratory viral infection after stem cell transplant, out of which 4 got the diagnosis of the respiratory viral infection before engraftement. Median days post-transplant was 37 days (range: 5-400). All patients had one or more respiratory complaints (cough, sore-throat and/or breathlessness). Close to 80% of patients also had fever. Severe neutropenia (ANC < 500mm3) was present in 32 (56.1%) at the time of diagnosis of the respiratory viral infection and 30 (52.6%) patients fulfilled the criteria of febrile neutropenia. Median duration of neutropenia was 7 days (range: 5-20). ICU management was required in 6 (10.5%) patients and 15 (26.3%) patients required supplemental oxygen support. Most cases were seen in month of July 2021-Oct 2021; 39 (68.4%) cases in period of 4 months (Figure 1). Positive yield of the test ranged from 0-66.6%, but it was highest in month of October 2021 (66.6%). All patients got chest imaging (X-ray and/or CT scan) done during their course of stay in the hospital. Chest imaging was normal in 27 (47.3%) of patients, whereas ground glass opacities were seen in 22 (38.5%), nodules in 2 (3.5%) and lobar consolidation in 4 (7.0%) patients. Respiratory syncytial virus was most commonly detected virus, seen in 21 (36.8%) patients, followed by Influenza (11; 19.3%) and rhinovirus (11; 19.3%) patients. No specific anti-viral drug was added in 36 patients, whereas all patients diagnosed with influenza were given oral oseltamivir. Only 6 (28.5%) patients diagnosed with RSV were given oral ribavirin. Polyclonal intravenous immunoglobulin (IVIG) was given to 4 patients; whereas one patient received systemic steroids after respiratory virus related acute respiratory distress syndrome (ARDS) was diagnosed. All patients were on antibiotics at the time of diagnosis of respiratory viral infection. Antibiotic de-escalation was done in 33 (57.8%) of patients, whereas 14 (24.5%) patients did not get any change in antibiotic prescription despite the diagnosis of a respiratory infection. Ten (17.5%) patients had their antibiotics escalated as they were diagnosed to have bacterial co-infection which was resistant to antibiotic they were on. Median duration of antibiotic given was 2 days (range: 1-14), only 7 (12.2%) patients got antibiotics for more than 7 days. Transmission based precautions (contact for RSV and droplet for influenza, human metapneumovirus and para-influenza virus) were applied for 43 (75.4%) patients. None of the patients with rhinovirus were shifted to transmission based precautions. Three patients with RSV were not shifted to isolation due to practical reasons (lack of single room availability, discharged on same day etc,). As per our antibiotic cost calculation, we found that a median of 9000 INR (range 0-67500) were saved per patient after they were diagnosed with a respiratory viral infection which led to change in antibiotic prescription. Median duration of stay in the hospital was 6 days (range: 1-22). Four (7.0%) patients died in the study cohort. We also did an intergroup analysis (Table 2) in two groups (antibiotic de-escalation cohort and non-de-escalation cohort). We found that non-de-escalation cohort had longer length of stay (10 vs 3 days; p =0.005), no antibiotic cost reduction (0 vs 9620; p=0.0003), higher mortality (16.6% vs 0%; p =0.01) & higher rhinovirus detection rates (41.6% vs 3%; p=0.0002), but that was partially explained by higher rates of bacterial co-infection in that cohort (54% vs 0%; p=0.0002).

Variables (n=57)

Median Age in years (range)

40 (3-68)

Males (n/%)

38 (66.6%)

Distribution of malignancies

Hematological (leukemia, lymphoma, myeloma) (n/%)

45 (78.9%)

Solid Tumors (n/%)

10(17.5%)

Non-oncological conditions (Thalessemia, aplastic anemia) (n/%)

2 (3.5%)

Post-stem cell transplant (n/%)

14 (24.5%)

Median no. of days post transplant (n/%)

37 (5-400)

No. of patients who had severe neutropenia (ANC <500 mm3 at the time of diagnosis of viral infection) (n/%)

32 (56.1%)

Median no. of days of neutropenia (range)

7 (5-20)

No. of patients who were managed in ICU (n/%)

6 (10.5%)

No. of patients who required supplemental oxygen (n/%)

15 (26.3%)

Distribution of chest radiological abnormalities

Normal (n/%)

27 (47.3%)

Ground glass opacities (n/%)

22 (38.5%)

Nodules (n/%)

2 (3.5%)

Lobar Consolidation (n/%)

4 (7.0%)

Viral pathogen detected

Respiratory Syncytial Virus (RSV) (n/%)

21 (36.8%)

Influenza (A and B) (n/%)

11 (19.3%)

Para-influenza virus (n/%)

6 (10.5%)

Corona Virus (non-SARS COV-2) (n/%)

5 (8.7%)

Rhinovirus (n/%)

11 (19.3%)

Human Metapneumovirus

3 (5.2%)

Therapeutic intervention done after diagnosis of viral pathogen was made

No specific anti-viral added (n/%)

36 (63.1%)

Oseltamivir added (n/%)

11 (19.3%)

Oral Ribavirin was added (n/%)

5 (8.7%)

IVIG plus oral Ribavirin (n/%)

1 (1.7%)

Only IVIG (n/%)

3 (5.2%)

Systemic Steroids (n/%)

1 (1.7%)

Antibiotic prescription change after diagnosis of viral pathogen

De-escalation of antibiotics (n/%)

33 (57.8%)

Antibiotics were not escalated (n/%)

14 (24.5%)

Antibiotics were escalated (n/%)

10 (17.5%)

Median duration of antibiotics given to the cohort in days (range)

2 (1-14)

No. of patients who got antibiotics for > 7 days (n/%)

7 (12.2%)

No. of patients in whom co-infection with other identified simultaneously (n/%)

13 (22.8%)

No. of patients who were shifted to transmission based isolation precautions (n/%)

43 (75.4%)

Outcomes

Median cost of antibiotics saved in INR per patient (range)

9000 (0-67500)

Median Length of stay in days (n/%)

6 (1-22)

Mortality (n/%)

4 (7.0%)

Table 1: Various parameters of study population

Variables

Antibiotics de-escalated (n=33)

Antibiotics escalated or not de-escalated (n=24)

p-value

Median Age in years

38

39

0.90

Males (n/%)

23 (69.7%)

15 (62.5%)

0.655

Distribution of malignancies

Hematological Malignancies (n/%)

27 (81.8%)

18(75.0%)

0.56

Solid Malignancies (n/%)

4 (12.1%)

5 (20.8%)

0.37

No. of patients who had severe neutropenia (ANC <500 mm3 at the time of diagnosis of viral infection) (n/%)

14 (42.2%)

18(75.0%)

0.01

Median days of neutropenia

6

7

0.81

No. of patients who were managed in ICU (n/%)

0 (0.0%)

6(25.0%)

0.002

Distribution of chest radiological abnormalities

Consistent with viral infection (normal, GGOs) (n/%)

31 (93.9%)

19 (79.1%)

0.09

Not consistent with viral infection (consolidation and nodules) (n/%)

2 (6.0%)

5 (20.8%)

0.09

Viral pathogen detected

RSV (n/%)

16 (48.4%)

5 (20.8%)

0.03

Rhinovirus (n/%)

 1 (3.0%)

10 (41.6%)

0.0002

Others (Influenza, PIV, Corona, HMPV) (n/%)

16 (48.4%)

9 (37.8%)

0.40

Co-infection by other pathogen (n/%)

0 (0.0%)

13 (54.1%)

0.0002

Outcomes

Median cost of antibiotics saved in INR per patient

9620

0

0.0003

Median Length of stay in days

3

10

0.005

Mortality (n/%)

0 (0.0%)

4 (16.6%)

0.01

Table 2: Comparison of various parameters between two groups.

fortune-biomass-feedstock

Figure 1: Distribution of positive tests, total number of tests done and positive yield percentage in months across the study period.

4. Discussion

Utilizing a multiplex PCR panel for respiratory pathogen may be a standard of care in a developed world, but it is not commonly utilized in low-middle income countries primarily because of high cost. Lack of good therapeutic interventions, evidence to de-escalate antibiotics and isolation infra-structure are some other reasons which make it cost-ineffective. COVID-19 pandemic has taught us many lessons, some of which include the importance of confirmation of clinical diagnosis and emphasis on infection control practices particularly in a dedicated oncology centre which deals with immunocompromised patients and cross-transmission can lead to devastating results. Due to these lessons, our institute strengthened its viral diagnostics, improved our antibiotic prescriptions patterns and came-up with more effective infection control practices. There are multiple studies which have looked into the impact of diagnosing respiratory viral infections in oncology settings and have found varied results [7-9]. Even IDSA guidelines on the use of same, fail to give a strong recommendation and only conclude that utilization of these molecular tests should be done in consideration with regards to hospital epidemiology and antibiotic stewardship. They also highlight lack of good randomized control trials which can answer these unmet needs [10]. Our study found that in > 50% of patients, there was no specific antiviral added, that may be because of most patients were infected with RSV and Rhinovirus. Data of use of oral ribavirin for RSV is very heterogeneous and guidelines suggest its use in patients with high risk of progression to lower respiratory tract [11, 12]. Apart from influenza, and probably RSV, most other respiratory viruses do not have an approved antiviral agent as of now. This brings us to a point of therapeutic efficacy of doing the test (therapy change after testing), we do agree, addition of specific antiviral agent may not be possible in most the patients, but in a patient with respiratory symptoms and signs compatible with a respiratory viral infection and a positive respiratory viral result, it becomes easy to de-escalate antibiotics. In the era of multi-drug resistance gram negatives, management of febrile neutropenia has become even more challenging. Judicious use of antibiotics have shown good outcomes in oncology patients and most guidelines now recommend intervention by AMS team in management of febrile neutropenia [4-5]. Multi-drug resistant gram negative is a major problem in India and oncology patients are most adversely affected by it. It is imperative that AMS is encouraged in India and this study makes an attempt towards that. Neutropenia was seen in more than half of our study population and still clinicians de-escalated antibiotics in close to 57% patients.

Change in infection control practices (shifting to transmission based precautions) is only possible after a diagnosis of respiratory infection has been made. Following good infection control practices is of utmost importance particularly in oncology settings as cross-transmission can lead to outbreaks with poor patient related outcomes. We were able to shift more than 75% of our patients to isolation rooms, providing a good example for hospital administrators to invest in good infection control infrastructure. So, we feel if good antibiotic stewardship and infection control practices are put in place, then therapeutic efficacy of doing respiratory viral panels is very good particularly in immunocompromised hosts. Cost of antibiotic (median saving of 9000 INR per patient in our study) saved adds to the cost effectiveness of these tests. In a study done by Shinn et. al, they concluded that there was no difference in patient related outcomes in between patients with positive and negative viral panel results.9 High incidence of detecting rhinovirus (61%) may have been the reason for this outcome. In our study also, patients in whom antibiotics were not de-escalated (most commonly due to presence of bacterial co-infection) had high rates of rhinovirus detection (41.6% vs 3%; p=0.0002) and other patients related outcomes like length of stay, mortality and cost of antibiotics saved were badly affected (Table 2). Although human rhinovirus can cause severe pneumonia but it has also been reported as a nasal commensal [13], so we recommend caution while interpreting reports with positive rhinovirus results. Most of our cases were diagnosed in the July 2021-Octover 2021, this period of 4 months lead to over 68% of cases and also positive yield of doing the tests was also highest during this period (42.8%-66.6%). This may be because of heavy rains (monsoon) during this time of year, while this is in line with the national data, same was not observed in 2020 as pandemic led to a lockdown which may have affected the spread of respiratory viral infections. Our study has many limitations. Firstly, it lacks a true comparator arm of patients in whom respiratory panel was negative, which could have given our study findings more credibility. Secondly, cost calculation of antibiotics is based on an assumption (7 days if virus test was not done). Lastly, it being a retrospective study, suffers from selection bias. Despite the limitations, our study gives a ‘real life’ insight into clinicians’ behavior after he/she finds a patient with proven respiratory viral infection in oncology settings. It also encourages antibiotic stewardship behavior among oncologists and promotes developing a culture for good infection control practices.

5. Conclusion

Diagnosis of a respiratory viral pathogen helps in promoting antibiotic stewardship and infection control practices. However, caution needs to be taken while interpreting results with rhinovirus.

Novelty & Impact Statement

Use of multiplex PCRs for diagnosing of respiratory viral infections have been criticized for lack of therapeutic efficacy (therapy change after testing) and poor cost-effectiveness. We demonstrated that diagnosis of respiratory viral infections in neutropenic oncology patients led to antibiotic de-escalation, decrease length of stay, improve infection control practices and saved cost on antibiotics.

Declarations

Ethics and consent

Study was approved by Institute Ethics Committee (IEC) and patient consent was waived off as it is a retrospective study with no intervention.

Consent for publication

Not applicable

Funding

This paper was not supported by any funding

Authors' contributions

N.B. collected the data and wrote the manuscript. D.B, G.K, N.S, S.G, V.T, P.Y. and U.B. critically analyzed the data and helped in finalizing the manuscript. All authors reviewed the manuscript

Acknowledgment

We would like to acknowledge the inputs of Ms. Vandana and Ms. Kavita from Microbiology Laboratory and also Dr. Kalpesh Sukhwani for providing critical inputs during preparation of this manuscript.

Conflicts of Interest

Authors do not have any association which may have any conflicts of interest with this manuscript.

Data Availability statement

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions

References

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Supplementary Information

Antibiotic

Cost of drug per vial (lowest among brands available) in INR

Cefoperazone – sulbactam (3 gm)

890

Azythromycin (IV) 500mg

190

Meropenem IV (1gm)

750

Amikacin 500mg

79

Colistin 4.5million units

4374

Teicoplanin 400mg

1830

Supplementary Table: Cost of antibiotics

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