Literature DB >> 35143374

Changes in Care during the COVID-19 Pandemic for People with Cystic Fibrosis.

Don B Sanders1, Runyu Wu2, Tom O'Neil2, Alexander Elbert2, Kris Petren2, Raksha Jain3, Clement L Ren1.   

Abstract

Rationale: Cystic fibrosis (CF) centers transitioned to telemedicine during the spring 2020 peak of the coronavirus disease (COVID-19) pandemic.
Objectives: We hypothesized that people with CF (pwCF) with more severe disease would be more likely to be seen in-person.
Methods: We used paired t tests to compare within-subject changes in body mass index (BMI) and percentage predicted forced expiratory volume in one second (FEV1) and calculated relative risk (RR) to compare pulmonary exacerbations (PEx) between pwCF enrolled in the CF Foundation Patient Registry with at least one in-person clinic visit after March 15 in both 2019 and 2020.
Results: Overall, the proportion of clinical encounters that were in-person clinic visits decreased from 91% in 2019 to a low of 9% in April 2020. Among pwCF seen after March 15 in both 2019 and 2020, the mean (95% confidence interval [CI]) FEV1 percentage predicted was 1.3% (0.1-2.4) predicted higher in 2020 for children 6 to <12 years of age, and 7.5% (7.1-7.9) predicted higher in 2020 among pwCF ⩾12 years of age eligible for the highly effective CF transmembrane conductance regulator modulator, elexacaftor-tezacaftor-ivacaftor (ETI). There was no difference in FEV1 percentage predicted for pwCF ⩾12 years of age who were not eligible for ETI. Similarly, the mean (95% CI) BMI was 2.4 (2.0-2.8) percentile higher in 2020 for children 6 to <12 years of age and 5.2 (4.8-5.7) percentile higher in 2020 among children 12 to <18 years of age eligible for ETI. Mean (95% CI) BMI was 1.2 (1.2-1.3) (kg/m2) higher for pwCF ⩾18 years of age eligible for ETI, and 0.2 (0.1-0.3) (kg/m2) higher for pwCF ⩾18 years of age not eligible for ETI. The proportion of in-person clinic visits where any PEx was present was lower in 2020 compared with 2019, 25% compared with 38%, RR 0.82 (0.79-0.86). Conclusions: The care of pwCF was substantially changed during the spring 2020 peak of the COVID-19 pandemic. Among pwCF seen in-person in both 2019 and 2020 after the spring peak of the COVID-19 pandemic, lung function and BMI were higher in 2020 for children 6 to <12 years of age and pwCF eligible for ETI.

Entities:  

Keywords:  ambulatory care; body mass index; pulmonary exacerbation; pulmonary function

Mesh:

Substances:

Year:  2022        PMID: 35143374      PMCID: PMC9528741          DOI: 10.1513/AnnalsATS.202105-532OC

Source DB:  PubMed          Journal:  Ann Am Thorac Soc        ISSN: 2325-6621


The coronavirus disease (COVID-19) pandemic resulted in widespread restrictions on social interactions and lockdowns in many areas of the world (1). These restrictions were associated with reductions in clinical encounters in many fields, including hospitalizations and emergency room visits for exacerbations of chronic diseases, acute medical events, and injuries (2–4). The reasons for these reductions are not entirely clear but may represent a desire to avoid the risk of exposure to infection, lost health insurance, increased thresholds for hospitalizations, or improvement in self-care during social distancing (3, 5). Similarly, reductions in outpatient clinic visits occurred in the United States during the initial peak of the pandemic in spring 2020, and at least some proportion of these in-person visits were replaced with encounters via telemedicine (6, 7). The U.S. Cystic Fibrosis (CF) Foundation guidelines recommend that people with CF (pwCF) be seen in-person at an accredited CF center at least every 3 months after the first year of life (8–10). Mirroring the pattern of outpatient care in the United States at the start of the COVID-19 pandemic, CF centers rapidly transitioned to telemedicine during the spring 2020 peak of the pandemic. We used the CF Foundation Patient Registry (CFFPR) to describe the proportion of clinical encounters that were in-person, the recording of clinical information and interactions with members of the multidisciplinary CF team, and the characteristics and pulmonary exacerbations of pwCF beginning with the spring 2020 peak of the COVID-19 pandemic, compared with the same period in 2019. Our hypothesis was that pwCF seen in-person would have markers of more severe disease, including lower pulmonary function, lower body mass index (BMI), and be more likely to experience a pulmonary exacerbation (PEx).

Methods

Objective and Design

The objective of this report is to describe the characteristics of pwCF in the United States seen in-person during and after the initial peak of the pandemic in spring 2020, in comparison to 2019. In addition, we describe changes in care patterns that occurred throughout the last 9 months of 2020 in comparison to 2019. To address these objectives, we performed a retrospective study of clinical encounters in the CFFPR. The CFFPR contains demographic and clinical data collected at every encounter at CF Foundation (CFF)-accredited centers using a standardized data collection form (11). Encounter location was recorded as in clinic, in the hospital, or other. Encounters that occurred by phone or with video by phone or computer were added to the CFFPR during the spring peak of the pandemic, but given the variability in the timing of changes in data entry, we limited our analysis to data for in-person clinic visits and PEx treated with intravenous antibiotics in the hospital or at home. Clinical information includes anthropomorphic measurements, pulmonary function test results, microbiology results from respiratory secretions, treatments and medications, complications of CF, and whether a PEx was determined to be present at in-person clinic visits.

Study Population

People with CF are eligible to be included in the CFFPR if they receive care at one of the CFF’s accredited U.S. care centers and they (and/or their legal guardians) provide informed consent, with approval from local institutional review boards (IRBs). This analysis was approved by the Indiana University IRB. For the current analysis, we reviewed data for all pwCF with at least one clinical encounter at a U.S. CF center after March 15 in 2019 or 2020, corresponding to the start of the spring 2019 peak of the COVID-19 pandemic. Individuals with CF transmembrane conductance regulator (CFTR)-related metabolic syndrome and CFTR-related disorders were excluded.

Variable Definitions

CF-related respiratory microbiology results, medications, and complications may be entered into the CFFPR at each clinical encounter, as is whether pwCF are seen by a respiratory therapist, dietician, and/or social worker. Median home zip code income and public insurance were used as markers of low socioeconomic status (12). Percentage predicted for forced expiratory volume in 1 second (FEV1) measurements were calculated using the Global Lung Initiative reference equations (13). Baseline FEV1 percentage (FEV1%) predicted as of March 15 was calculated based on the average of the two highest FEV1% predicted values obtained at in-person clinic visits in the 12 months before and could include FEV1% predicted obtained at the clinic visit. If only one FEV1% predicted measurement was available, it was used as the baseline. No baseline value was assigned if there were no measurements of FEV1% predicted in the past 12 months. The presence of depression and anxiety were based on self-report and results from annual Patient Health Questionnaire-9 and General Anxiety Disorder-7 screening entered into the CFFPR. BMI percentiles for children were based on the Centers for Disease Control and Prevention growth charts (14). PEx were defined separately according to 1) the determination by the treating clinician at in-person clinic visits and 2) treatment with intravenous antibiotics at home or in the hospital.

Statistical Analysis

Descriptive statistics were used to summarize the proportion of clinical encounters that occurred at in-person clinic visits, the proportion of clinical encounters with key clinical data and interactions with members of the multidisciplinary CF team, the clinical characteristics of pwCF seen in-person, and the proportion of pwCF who had a PEx. To address our hypothesis, we used paired t tests to compare within-subject differences in FEV1% predicted and BMI, and calculated relative risk (RR) to compare the proportion of in-person clinic visits with a PEx for pwCF with at least one in-person clinic visit after March 15, 2019 and 2020. For this analysis, we excluded pwCF with prior lung transplantation. Although the use of elexacaftor/tezacaftor/ivacaftor (ETI) is recorded at clinical encounters, the exact start date is not. To account for ETI use, we separately report outcomes according to age and CF transmembrane conductance regulator (CFTR) protein mutations that determine eligibility for ETI (i.e., age ⩾12 years and the presence of at least one copy of the F508del mutation).

Results

In-Person Clinic Visits

In 2019, 30,370 pwCF had at least one encounter at accredited U.S. CF centers between March 15 and December 31. In total, there were 105,049 in-person clinic visits among 30,097 pwCF who had at least one in-person clinic visit. In 2020, 30,163 pwCF had at least one encounter at accredited U.S. CF centers between March 15 and December 31. In total, there were only 46,633 in-person clinic visits among 22,811 pwCF who had at least one in-person clinic visit. Compared with 2019, all in-person clinic visits were reduced by 56%, and 24% fewer pwCF were seen at an in-person clinic visit in 2020. In 2019, in-person clinic visits accounted for 89–92% of all clinical encounters in any given month. In 2020, the proportion of clinical encounters that were in-person clinic visits decreased from a high of 90% in January and February to a low of 9% in April (Figure 1). The proportion of clinical encounters that were in-person clinic visits increased after the initial spring COVID-19 peak but did not return to 2019 levels.
Figure 1.

Proportion of clinical encounters recorded in the CFFPR that were in-person clinic visits. CFFPR = Cystic Fibrosis Foundation Patient Registry.

Proportion of clinical encounters recorded in the CFFPR that were in-person clinic visits. CFFPR = Cystic Fibrosis Foundation Patient Registry. Throughout 2019, more than 90% of clinical encounters had information recorded for height, weight, CF-related medications, and CF-related complications, and more than 75% had information recorded for respiratory microbiology and FEV1 (see Table E1 in the online supplement). In 2020, the proportion of clinical encounters at which height, weight, microbiology, and FEV1 were recorded varied greatly by month, correlating with the changes in the proportion of in-person clinic visits. However, reporting of CF-related medications and CF-related complications remained more stable over this time period (Table E1). Compared with 2019, the proportion of clinical encounters with interactions with respiratory therapists, dieticians, and social workers was lower in March and April, before increasing through September 2020 (Figure E1). The difference in interactions was greatest for interactions with respiratory therapists, reaching a low of 40% of levels seen in 2019. Interactions with respiratory therapists remained 15% below 2019 levels in December 2020, whereas interactions with dieticians and social workers had returned to 2019 levels.

Characteristics of pwCF Seen In-Person

The characteristics of pwCF seen in-person during and after the spring peak of the pandemic were generally similar to pwCF seen during the same time period in 2019, though there was a lower proportion of pwCF seen in-person who were ⩾18 years of age or had FEV1 <70% predicted, and a higher proportion treated with any CFTR modulator or had FEV1 ⩾100% predicted (Table 1). The mean (SD) age was nearly two years lower in 2020, 20.9 (15.1) years, compared with 2019, 22.5 (15.4) years. There were no differences in the pwCF seen in-person according to Hispanic ethnicity or insurance status. The median income by zip code was not different in 2020, $64,188, compared with 2019, $65,307. The higher CFTR modulator use in 2020 was due to the introduction of ETI for pwCF ⩾12 years of age and at least one copy of F508del at the end of 2019.
Table 1.

Characteristics of people with cystic fibrosis seen in-person after March 15, 2019 and 2020

Characteristic2019N = 30,097, n (%)2020N = 22,811, n (%)
Age, yr <21,109 (4)924 (4)
 2–117,682 (25)6,598 (29)
 12–174,769 (16)4,065 (18)
 ⩾1816,537 (55)11,222 (49)
Male sex15,537 (52)11,715 (51)
RaceWhite27,723 (92)20,893 (92)
Black1,402 (5)1,140 (5)
Other972 (3)778 (3)
Hispanic ethnicity2,750 (10)2,181 (10)
CFTR genotypeHomozygous F508del13,462 (45)10,302 (45)
Heterozygous F508del12,304 (41)9,215 (40)
Other/unknown4,331 (14)3,294 (15)
Pancreatic insufficient (on enzymes)25,579 (85)19,214 (84)
CF-related diabetes mellitus6,598 (22)4,576 (20)
Lung transplantation1,586 (5)992 (4)
Current year insurance statusAny public15,012 (50)12,049 (53)
Only private14,503 (48)10,336 (45)
Other/none/unknown582 (2)426 (2)
Any CFTR modulator use (at start of reporting period)18,242 (61)16,173 (71)
ETI use, ⩾12-yr-olds (start of reporting period)216 (1)9,285 (61)
Chronic inhaled steroid use8,538 (28)5,663 (25)
Baseline in-person clinic visit FEV1 category, ⩾6-yr-olds*⩾100% predicted4,426 (18)4,980 (27)
70–9911,610 (46)8,726 (47)
40–696,582 (26)3,819 (21)
<402,602 (10)1,091 (6)
Microbiology history (any positive in year before) Pseudomonas aeruginosa 12,330 (41)8,648 (38)
Staphylococcus aureus 19,385 (64)15,112 (66)
MRSA6,906 (23)5,345 (23)
Stenotrophomonas maltophila 3,437 (11)2,527 (11)
Burkholderia cepecia complex729 (2)516 (2)
Any nontuberculous mycobacteria during reporting period1,635 (5)450 (2)
Allergic bronchopulmonary aspergillosis1,571 (5)997 (4)
Depression, ⩾12-yr-olds5,061 (24)3,496 (23)
Anxiety, ⩾12-yr-olds4,425 (21)3,248 (21)

Definition of abbreviations: CF = cystic fibrosis; CFTR = cystic fibrosis transmembrane conductance regulator; ETI = elexacaftor/tezacaftor/ivacaftor; FEV1 = forced expiratory volume in 1 second; MRSA = methicillin-resistant Staphylococcus aureus; pwCF = people with CF.

Baseline FEV1 is based on the average of the best two FEV1 measurements in the year before. Baseline FEV1 for 2019 was based on only one measurement for 6.5% of pwCF; 1.6% had no measurements in the year before and used the in-person clinic measurement as baseline FEV1. Baseline FEV1 for 2020 was based on only one measurement for 4.8% of pwCF; 1.4% had no measurements and used the in-person clinic measurement as baseline FEV1.

Characteristics of people with cystic fibrosis seen in-person after March 15, 2019 and 2020 Definition of abbreviations: CF = cystic fibrosis; CFTR = cystic fibrosis transmembrane conductance regulator; ETI = elexacaftor/tezacaftor/ivacaftor; FEV1 = forced expiratory volume in 1 second; MRSA = methicillin-resistant Staphylococcus aureus; pwCF = people with CF. Baseline FEV1 is based on the average of the best two FEV1 measurements in the year before. Baseline FEV1 for 2019 was based on only one measurement for 6.5% of pwCF; 1.6% had no measurements in the year before and used the in-person clinic measurement as baseline FEV1. Baseline FEV1 for 2020 was based on only one measurement for 4.8% of pwCF; 1.4% had no measurements and used the in-person clinic measurement as baseline FEV1. The characteristics of pwCF seen in-person after March 15 in both 2019 and 2020 (Table E2) were generally similar to the overall cohort, except the proportion of adult pwCF was lower due to the reduction in in-person clinic visits for adult pwCF in 2020. Among pwCF seen in-person in both time periods and without a history of lung transplantation, the mean (SD) FEV1% predicted for pwCF seen in-person in 2020 was 85.0 (30.1), compared with 79.7 (27.6) in 2019; the mean (95% confidence interval [CI]) estimate of the difference is 5.3% (4.9–5.7) predicted. Mean (SD) FEV1% predicted was statistically significantly higher for pwCF <12 years of age and pwCF ⩾12 years of age with ⩾1 copy of F508del (Table 2). There was no difference in FEV1% predicted among pwCF ⩾12 years of age with no copies of F508del who were seen in-person in both time periods. The proportion of pwCF seen in-person during this time whose FEV1 was >5% predicted below their baseline FEV1 as of March 15 was lower in 2020 (22%) than in 2019 (39%).
.

Mean (standard deviation) body mass index and forced expiratory volume in 1 second for people with cystic fibrosis seen in-person after March 15, 2019 and 2020 according to age and elexacaftor/tezacaftor/ivacaftor eligibility

  n 2019, Mean (SD)2020, Mean (SD)Mean (95% CI) differencesP Value
FEV16–<12 yr of age3,51496.0 (29.0)97.2 (29.3)1.3 (0.1 to 2.4)0.03
⩾12 yr of age, no F508del1,52376.9 (25.9)76.6 (33.2)−0.3 (−1.6 to 0.9)0.60
⩾12 yr of age, ⩾1 F508del10,08974.5 (25.1)82.0 (28.7)7.5 (7.1 to 7.9)<0.001
BMI percentile<12 yr of age6,37358.0 (25.7)60.4 (26.6)2.4 (2.0 to 2.8)<0.001
12–<18 yr of age, no F508del64954.8 (29.1)55.5 (30.1)0.7 (−0.3 to 1.7)0.18
12–<18 yr of age, ⩾1 F508del4,05652.3 (26.9)57.6 (26.9)5.2 (4.8 to 5.7)<0.001
BMI, kg/m2⩾18 yr of age, no F508del1,00224.4 (5.4)24.6 (5.6)0.2 (0.1 to 0.3)<0.001
⩾18 yr of age, ⩾1 F508del6,42123.5 (4.5)24.7 (4.8)1.2 (1.2 to 1.3)<0.001

Definition of abbreviations: BMI = body mass index; CI = confidence interval; FEV1 = forced expiratory volume in 1 second; SD = standard deviation.

Mean (standard deviation) body mass index and forced expiratory volume in 1 second for people with cystic fibrosis seen in-person after March 15, 2019 and 2020 according to age and elexacaftor/tezacaftor/ivacaftor eligibility Definition of abbreviations: BMI = body mass index; CI = confidence interval; FEV1 = forced expiratory volume in 1 second; SD = standard deviation. The mean (SD) BMI for pwCF seen in-person after March 15 in both 2019 and in 2020 was higher in 2020 for adults, 24.7 (4.9) kg/m2, compared with 2019, 23.6 (4.7) kg/m2; the mean (95% CI) estimate of the difference is 1.08 (1.03–1.13) kg/m2. Similarly, the mean (SD) BMI percentile in 2020 was higher for children, 59.1 (27.0) percentile, compared with 2019, 55.8 (26.5) percentile; the mean (95% CI) estimate of the difference is 3.3 (3.0–3.6). As with FEV1% predicted, there were no differences between 2019 and 2020 in BMI percentile for children with CF ⩾12 years of age and no copies of F508del, but BMI percentile was significantly higher in 2020 compared with 2019 for children with CF <12 years of age and children with CF ⩾12 years of age with ⩾1 copy of F508del. The largest increases were also seen among children with CF eligible for ETI (Table 2). The mean (SD) BMI was statistically significantly higher for adults with CF, regardless of eligibility for ETI, though the increase was again greater among adults with CF eligible for ETI (Table 2).

Pulmonary Exacerbations

The proportion of pwCF ⩾12 years of age with at least one copy of the F508del CFTR mutation treated with intravenous antimicrobials at home or in the hospital for a PEx began to decrease substantially at the end of 2019 with the introduction of ETI (Figure 2). This decrease continued through the spring peak of the pandemic and was maintained through the end of 2020. The proportion of pwCF ⩾12 years of age without any F508del CFTR mutations and pwCF <12 years of age (i.e., those not eligible for ETI) treated with intravenous antibiotics for a PEx began to decrease in 2020, before the spring COVID-19 peak. The lowest proportion of pwCF not eligible for ETI treated with intravenous antimicrobials was in April before rebounding slightly but staying below 2019 levels.
Figure 2.

Proportion of pwCF with home intravenous (IV) antimicrobials or hospitalization for a PEx by month, age, and ETI eligibility. ETI = elexacaftor-tezacaftor-ivacaftor; pwCF = people with CF; PEx = pulmonary exacerbation.

Proportion of pwCF with home intravenous (IV) antimicrobials or hospitalization for a PEx by month, age, and ETI eligibility. ETI = elexacaftor-tezacaftor-ivacaftor; pwCF = people with CF; PEx = pulmonary exacerbation. Similar to the trend of PEx treated with intravenous antimicrobials, yet in contrast to our hypothesis, the proportion of pwCF seen in-person during the spring peak of the pandemic (i.e., March 15 to May 31, 2020) who were diagnosed with a PEx (regardless of treatment) (25%) was lower than the corresponding period in 2019 (38%), or a RR of 0.82 (0.79–0.86) in 2020 compared with 2019.

Discussion

The impact of the COVID-19 pandemic is seen in changes in the care of pwCF in the United States. In-person clinic visits were greatly reduced during the spring peak of the pandemic, and although many pwCF subsequently returned to in-person clinic visits, approximately 25% of pwCF seen in-person after March 15 in 2019 were not seen in-person at all after March 15 in 2020. In addition, pwCF were less likely to interact with members of the multidisciplinary team or have important CF-related clinical measurements recorded. Interactions with members of the multidisciplinary team and recording of CF-related clinical measurements decreased in concert with the reduction of in-person clinic visits. Respiratory therapists had the largest decrease in interactions with pwCF; this may be because pulmonary function test labs were closed, and/or respiratory therapists were more likely to be deployed to support the care of people hospitalized with COVID-19. In contrast to our hypothesis, pwCF seen in-person did not have evidence of worse lung disease, nutrition, or risk of PEx. The introduction of ETI had a large positive effect on disease outcomes and, therefore, may have masked lung function decline in those eligible. While we saw no evidence for worse lung disease even among pwCF under 12 years of age who were not eligible for ETI, we cannot say for certain that adults with more severe lung disease would have similar results. In addition, the CFFPR does not include sensitive markers such as chest computed tomographic or multiple breath washout that may be necessary to detect differences in disease severity. The CFF recommends frequent clinical encounters to monitor for progression of lung disease, surveillance of respiratory microbiology, and monitoring for CF-related complications (8–10, 15). During the spring peak of the pandemic, this monitoring was disrupted. The impact of changes in care for pwCF may not be known for some time. A delay in the detection of newly acquired Pseudomonas aeruginosa could decrease the likelihood of successful eradication treatment attempts and increase the risk of subsequent PEx (16–19). pwCF, their caregivers, and parents of children with CF report negative impacts of the COVID pandemic on their emotional well-being (20). These changes in emotional well-being may not have been identified during the spring peak of the pandemic in the absence of in-person clinic visits and reduced interactions with the multidisciplinary team, including social workers and psychologists. Respiratory symptoms are common presentations of PEx and may be reported during phone and telemedicine encounters (21), but respiratory signs (e.g., new crackles and declines in FEV1% predicted are strongly associated with PEx and may have been missed in the absence of in-person clinic visits) (22). These risks should have been mitigated in pwCF who started ETI just before the start of the pandemic, in whom we would expect to see improved BMI, FEV1% predicted, and respiratory symptoms (23, 24). The potential negative impacts of changes in care may be addressed by supporting pwCF outside of in-person visits. Given the state of emergency, the U.S. Department of Health and Human Services relaxed restrictions to expand the options for applications used for telemedicine (25). The CFF purchased and helped distribute devices to monitor pulmonary function at home. In addition, efforts have been made to allow for home collection of cultures of respiratory secretions (26). Although we did not detect differences in in-person clinic visits according to potential barriers to telehealth services, heightened efforts to address disparities in access to care are needed given the poorer outcomes among pwCF with disparities in social determinants of health (27), as well as poorer outcomes of COVID-19 infections among people with disparities in social determinant of health (28). The reduction in PEx follows a similar reduction in exacerbations of chronic diseases, acute medical events, and injuries seen during the spring peak of the COVID-19 pandemic (2–4) but is also largely attributable to the effects of ETI (23). Notably, the largest decrease in intravenous-treated PEx was seen among pwCF eligible for ETI. Viral infections have been implicated in PEx (29–31), but the dramatic reduction in PEx during this period, corresponding with a reduction in circulating respiratory viruses (32), would argue that the contributions of viral infections to PEx have been underestimated. Even among pwCF not eligible for ETI, PEx began to decrease before in-person clinic visits did. pwCF have been considered at high risk for complications of infection with COVID-19 (33), and they may have changed behaviors to reduce their exposure to the virus and/or improve baseline health to better manage infection (20). pwCF may have also avoided hospitalizations by taking oral antibiotics or home intravenous antibiotics; numbers are small, but the reduction in intravenous antibiotics may be due primarily to a reduction in hospitalizations, as compared with a smaller reduction in home intravenous antibiotics (data not shown). Our report has several limitations. Our analysis is dependent on accurate data entry, and while error rates in data from the CFFPR, in general, are low (11), the pandemic may have altered these processes. It is possible that the high rates of reporting of CF-related medications and complications are attributable to carrying forward responses from previous encounters. Conversely, encounters with multidisciplinary team members may have occurred but were not recorded in the CFFPR. Although significant efforts are underway to closely monitor for anxiety and depression (34), responses from mental health screening questionnaires have only been completed and recorded in the CFFPRfor approximately 60–70% of pwCF ⩾12 years of age. Telemedicine encounters were integrated into the CFFPR during the pandemic, but given some variability in the timing of uptake among centers, we focused solely on in-person clinic visits. This may have resulted in missed reports of PEx, but PEx treated via phone and/or telemedicine encounters may not contribute significantly to PEx treatments during the pandemic (35). The CFFPR does not capture potential causes for the reduction in PEx (e.g., avoidance of viral infections or improved adherence to chronic therapies during stay-at-home orders). It is possible that improvements in 2020 may in part be attributed to 1) healthier pwCF attending in-person clinic visits during the spring 2020 peak of the pandemic and/or 2) in-person clinic visits that occurred as part of the ETI initiation process and/or for monitoring of laboratory values while initiating ETI. However, the higher FEV1 measurements during the spring 2020 peak of the pandemic were largely attributable to the group eligible for ETI, and the reduction in the number of in-person clinic visits was similar regardless of ETI eligibility (data not shown). Initial reports of COVID-19 infections in pwCF have not demonstrated a significant risk for severe illnesses, although pwCF with older age, CF-related diabetes, and lower pulmonary function are at risk for hospitalization with COVID-19 (36, 37). Nonetheless, CF centers will need to be prepared to adapt their practices for future pandemic-related lockdowns and restrictions to in-person clinic visits, as well as the likelihood that some pwCF may prefer telemedicine visits over in-person visits (38). Telemedicine offers opportunities and presents unique challenges for patient care that is multidisciplinary, as in CF. Reports have indicated the potential for inequalities in access to telemedicine based on educational attainment, socioeconomic status, and language barriers (7, 39). This could adversely impact the care of pwCF with lower socioeconomic status, Hispanic ethnicity and other minorities, and/or more severe disease who are at risk for more severe outcomes (40, 41). Access to telemedicine services, with the inclusion of members of the multidisciplinary team, is needed to address changes in emotional well-being and support optimal self-care practices. The ability to monitor weight with high-accuracy home scales and pulmonary function with home spirometry devices would decrease the risk of “silent” progression of disease. Home spirometry results may be more variable, and efforts to provide remote support to enhance technique would be beneficial. Methods for home collection of respiratory secretion would reduce the risk of missed new infections with P. aeruginosa. CF centers are rapidly adapting to care during the COVID-19 pandemic, and the lessons learned during this time can be used to promote the health of pwCF in the future.
  39 in total

1.  Impact of Sustained Eradication of New Pseudomonas aeruginosa Infection on Long-term Outcomes in Cystic Fibrosis.

Authors:  Nicole Mayer-Hamblett; Margaret Kloster; Margaret Rosenfeld; Ronald L Gibson; George Z Retsch-Bogart; Julia Emerson; Valeria Thompson; Bonnie W Ramsey
Journal:  Clin Infect Dis       Date:  2015-05-13       Impact factor: 9.079

2.  Disease Control, Civil Liberties, and Mass Testing - Calibrating Restrictions during the Covid-19 Pandemic.

Authors:  David M Studdert; Mark A Hall
Journal:  N Engl J Med       Date:  2020-04-09       Impact factor: 91.245

3.  Hospital Volumes of 5 Medical Emergencies in the COVID-19 Pandemic in 2 US Medical Centers.

Authors:  Hriday P Bhambhvani; Adrian J Rodrigues; Jonathan S Yu; James B Carr; Melanie Hayden Gephart
Journal:  JAMA Intern Med       Date:  2021-02-01       Impact factor: 21.873

4.  Telemedicine and Health Disparities During COVID-19.

Authors:  Michelle W Katzow; Caren Steinway; Sophia Jan
Journal:  Pediatrics       Date:  2020-08       Impact factor: 7.124

5.  Detection of Bacterial Pathogens Using Home Oropharyngeal Swab Collection in Children with Cystic Fibrosis.

Authors:  Patricia M Lenhart-Pendergrass; Meg Anthony; Sabina Sariyska; Ashley Andrews; Heather Scavezze; Elinor Towler; Stacey L Martiniano; Jordana E Hoppe; Edith T Zemanick
Journal:  Pediatr Pulmonol       Date:  2021-04-13

6.  Multi-ethnic reference values for spirometry for the 3-95-yr age range: the global lung function 2012 equations.

Authors:  Philip H Quanjer; Sanja Stanojevic; Tim J Cole; Xaver Baur; Graham L Hall; Bruce H Culver; Paul L Enright; John L Hankinson; Mary S M Ip; Jinping Zheng; Janet Stocks
Journal:  Eur Respir J       Date:  2012-06-27       Impact factor: 16.671

7.  Disparities in Mortality of Hispanic Patients with Cystic Fibrosis in the United States. A National and Regional Cohort Study.

Authors:  Jason Rho; Chul Ahn; Ang Gao; Gregory S Sawicki; Ashley Keller; Raksha Jain
Journal:  Am J Respir Crit Care Med       Date:  2018-10-15       Impact factor: 21.405

8.  Racial and Ethnic Disparities in COVID-19-Related Infections, Hospitalizations, and Deaths : A Systematic Review.

Authors:  Katherine Mackey; Chelsea K Ayers; Karli K Kondo; Somnath Saha; Shailesh M Advani; Sarah Young; Hunter Spencer; Max Rusek; Johanna Anderson; Stephanie Veazie; Mia Smith; Devan Kansagara
Journal:  Ann Intern Med       Date:  2020-12-01       Impact factor: 25.391

9.  A multinational report to characterise SARS-CoV-2 infection in people with cystic fibrosis.

Authors:  Rebecca Cosgriff; Susannah Ahern; Scott C Bell; Keith Brownlee; Pierre-Régis Burgel; Cass Byrnes; Harriet Corvol; Stephanie Y Cheng; Alexander Elbert; Albert Faro; Christopher H Goss; Vincent Gulmans; Bruce C Marshall; Edward McKone; Peter G Middleton; Rasa Ruseckaite; Anne L Stephenson; Siobhán B Carr
Journal:  J Cyst Fibros       Date:  2020-04-25       Impact factor: 5.482

10.  Role of respiratory viruses in pulmonary exacerbations in children with cystic fibrosis.

Authors:  Sandra Asner; Valerie Waters; Melinda Solomon; Yvonne Yau; Susan E Richardson; Hartmut Grasemann; Farhad Gharabaghi; Dat Tran
Journal:  J Cyst Fibros       Date:  2012-05-10       Impact factor: 5.482

View more
  1 in total

Review 1.  Short and Long-Term Impact of COVID-19 Infection on Previous Respiratory Diseases.

Authors:  Eusebi Chiner-Vives; Rosa Cordovilla-Pérez; David de la Rosa-Carrillo; Marta García-Clemente; José Luis Izquierdo-Alonso; Remedios Otero-Candelera; Luis Pérez-de Llano; Jacobo Sellares-Torres; José Ignacio de Granda-Orive
Journal:  Arch Bronconeumol       Date:  2022-04-15       Impact factor: 6.333

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.