Literature DB >> 35175442

Clinical outcome of neurological patients with COVID-19: the impact of healthcare organization improvement between waves.

Viviana Cristillo1, Andrea Pilotto2, Alberto Benussi2, Ilenia Libri2, Marcello Giunta2, Andrea Morotti2, Stefano Gipponi2, Martina Locatelli2, Stefano Cotti Piccinelli2, Valentina Mazzoleni2, Francesca Schiano di Cola2, Stefano Masciocchi2, Debora Pezzini2, Andrea Scalvini2, Enrico Premi3, Elisabetta Cottini2, Massimo Gamba3, Mauro Magoni3, Marco Maria Fontanella4, Alessandro Padovani2.   

Abstract

OBJECTIVE: The aim of this study is to evaluate the differences in clinical presentations and the impact of healthcare organization on outcomes of neurological COVID-19 patients admitted during the first and second pandemic waves.
METHODS: In this single-center cohort study, we included all patients with SARS-CoV-2 infection admitted to a Neuro-COVID Unit. Demographic, clinical, and laboratory data were compared between patients admitted during the first and second waves of the COVID-19 pandemic.
RESULTS: Two hundred twenty-three patients were included, of whom 112 and 111 were hospitalized during the first and second pandemic waves, respectively. Patients admitted during the second wave were younger and exhibited pulmonary COVID-19 severity, resulting in less oxygen support (n = 41, 36.9% vs n = 79, 70.5%, p < 0.001) and lower mortality rates (14.4% vs 31.3%, p = 0.004). The different healthcare strategies and early steroid treatment emerged as significant predictors of mortality independently from age, pre-morbid conditions and COVID-19 severity in Cox regression analyses.
CONCLUSIONS: Differences in healthcare strategies during the second phase of the COVID-19 pandemic probably explain the differences in clinical outcomes independently of disease severity, underlying the importance of standardized early management of neurological patients with SARS-CoV-2 infection.
© 2022. The Author(s).

Entities:  

Keywords:  COVID-19; Mortality; Neurological disease; Outcomes; Steroid therapy

Mesh:

Year:  2022        PMID: 35175442      PMCID: PMC8852998          DOI: 10.1007/s10072-022-05946-8

Source DB:  PubMed          Journal:  Neurol Sci        ISSN: 1590-1874            Impact factor:   3.830


Introduction

Coronavirus disease-19 (COVID-19), associated with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a global pandemic, giving rise to a serious health burden globally. Many countries worldwide experienced a two-wave pattern of COVID-19 spreading during the pandemic, with a first wave during spring 2020 [1] followed by the second wave starting in late summer 2020 persisting until the spring of 2021. Neurological symptoms and syndromes concomitant SARS-coV-2 infection have been associated with increased risk of mortality and poor outcome in independent case series [1-4]. Recent data from general COVID units suggested that the patients hospitalized during the first and second waves of the COVID-19 pandemic differed for age range, severity of the disease, COVID-19 treatment strategies adopted, and outcomes [5] but no data specifically evaluating neurological patients are still available. In this work, we aimed to evaluate the impact of different healthcare strategies on final outcomes, by comparing clinical and laboratory characteristics of hospitalized COVID-19 neurological patients during the first and second waves of the pandemic in a single territory hub for neuro-COVID patients.

Methods

Study design and participants

This cohort study included adult inpatients (≥ 18 years old) with SARS-CoV2 infection admitted at the Neuro-COVID Unit of the ASST Spedali Civili Hospital, Brescia, for neurological diseases from February 21 to June 5, 2020 (first wave) and from November 1 to April 30, 2021 (second wave). In both periods, the hospital was selected as the hub for strokes. SARS-CoV-2 infection was confirmed by RT-PCR in nasopharyngeal/oropharyngeal swabs or bronchoalveolar lavage. The study received approval from the local ethics committee of the ASST Spedali Civili Hospital, Brescia (NP 4067, approved 08.05. 2020). Pre-morbid conditions were recorded at admission using the cumulative Illness rating scale (CIRS) and the pre-morbid modified Rankin scale (mRS). Hospitalization data included the severity of COVID-19 disease, expressed by the Brescia-COVID Respiratory Severity Scale (BCRSS) [6] and the quick Sequential Organ Failure Assessment (qSOFA) score. Steroid treatment with methylprednisolone 1 g/day for 5 days was defined as high-dose treatment (HDS), whereas dexamethasone 6 mg/day was defined as standard-dose treatment (SDT). During the second wave, the health organisation system changed adopting (a) different referral system from family doctors for patients at higher risk of deterioration; (b) standardization of patients profiling using neurological, comorbid, and frailty measures; (c) standardization of management of neurological patients in COVID-19 including specific internal guidelines for stroke, encephalitis, delirium, seizures, and headache; (d) multidisciplinary team of clinicians including neurologist, internal medicine, and infectious disease specialists in the unit; (e) early use of steroid and heparin according to updated COVID-19 guidelines [7]; (f) larger use of non-invasive ventilation in non-ICU units; and (g) early screening for ICU need.

Statistical analysis

Continuous and categorical variables are reported as mean values ± standard deviation and n (%) respectively. Differences between patients during the two waves were compared by t-test or Fisher’s exact test where appropriate. Linear regression models adjusted for the effect of age, COVID-19 severity, comorbidities, and baseline mRS evaluated the impact on different waves on mRS at discharge. The Cox regression model based on previous findings [1] was implemented in order to investigate the combined effect of predictors of mortality, namely age, qSOFA scores, BCRSS, platelet count, first vs. second wave, steroid treatment, and time from symptoms onset to admission. A two-sided p-value < 0.05 was considered significant; data analyses were carried out using SPSS software (version 21.0).

Results

Two hundred twenty-three COVID-19 patients were hospitalized in the Neuro-COVID Unit of the ASST Spedali Civili di Brescia Hospital, of whom 112 were admitted from February 21 to June 5, 2020, and 111 were hospitalized from November 1 to April 30, 2021. Demographic, clinical, and laboratory characteristics of included patients are reported in Table 1.
Table 1

Demographic, clinical, laboratory characteristics of patients according to first, and second pandemic waves

Neuro-COVIDNeuro-COVIDNeuro-COVID*p value
Total (n = 223)1° wave (n = 112)2° wave (n = 111)
Clinical and demographics features
  Age, years67.74 ± 16.572.6 ± 12.162.9 ± 18.9 < 0.001
  Sex, female107 (48%)53 (47.3%)54 (48.6%)0.843
  Hospital length of stay, days11.6 ± 10.19.75 ± 7.913.55 ± 11.60.005
  Time to admission from onset, days °1.97 ± 4.752.79 ± 7.50.40 ± 0.740.037
  qSOFA score, mean0.67 ± 0.70.87 ± 0.70.48 ± 0.7 < 0.001
  BCRSS, mean0.87 ± 0.961.24 ± 0.970.50 ± 0.8 < 0.001
  mRS pre-admission1.40 ± 1.41.22 ± 1.21.59 ± 1.60.053
  CIRS pre-admission1.24 ± 0.21.28 ± 0.21.21 ± 0.20.026
  Lymphocytes1.36 ± 0.81.21 ± 0.61.51 ± 0.90.006
  C-reactive protein (mg/L)41.2 ± 61.750.5 ± 67.431.96 ± 54.20.027
  Creatine kinase (U/L)219.4 ± 554.5276.38 ± 755.6165.6 ± 235.70.159
  D-dimer (mg/L)1742.4 ± 2986.21385.6 ± 1683.12032.5 ± 3707.90.109
Therapy
  Oxygen therapy, n (%)120 (53.8%)79 (70.5%)41 (36.9%) < 0.001
  High-dose treatment, n (%)10 (4.5%)4 (3.6%)6 (5.4%)0.479
  Standard-dose treatment, n (%)55 (24.7%)5 (4.7%)50 (48.1%) < 0.001
Outcomes measures
  In hospital mortality, n (%)51 (22.9%)35 (31.3%)16 (14.4%)0.004
  mRS at discharge (death included)2.98 ± 2.23.53 ± 2.12.41 ± 2.1 < 0.001
  mRS at discharge (deaths excluded)2.08 ± 1.72.40 ± 1.61.81 ± 1.70.019

*p values were calculated by t-test or Fisher’s exact test, as appropriate (p < 0.05); ° patients with BCRSS ≥ 2; abbreviations: BCRSS, Brescia-COVID Respiratory Severity Scale; CIRS, Cumulative Illness Rating Scale; GBS, Guillain-Barrè syndrome; mRS, modified Rankin scale; qSOFA, quick sequential organ failure assessment

Demographic, clinical, laboratory characteristics of patients according to first, and second pandemic waves *p values were calculated by t-test or Fisher’s exact test, as appropriate (p < 0.05); ° patients with BCRSS ≥ 2; abbreviations: BCRSS, Brescia-COVID Respiratory Severity Scale; CIRS, Cumulative Illness Rating Scale; GBS, Guillain-Barrè syndrome; mRS, modified Rankin scale; qSOFA, quick sequential organ failure assessment Patients admitted during the second wave were younger (years 62.9 ± 18.9 vs. 72.6 ± 12.1, p < 0.001), exhibited a lower comorbidity severity index (1.21 ± 0.2 vs. 1.28 ± 0.2, p = 0.026), less severe pulmonary disease, expressed by lower qSOFA score (0.48 ± 0.7 vs. 0.87 ± 0.7, p < 0.001), and lower BCRSS (0.50 ± 0.8 vs. 1.24 ± 0.97, p < 0.001) at admission compared to patients hospitalized during the first outbreak. COVID-19 patients admitted during the first wave showed higher blood inflammatory parameters, chest X-ray scores (Table 1) and use of high flow oxygenation (n = 79, 70.5%, n = 41, 36.9% vs. p < 0.001) compared to patients admitted during the second outbreak. The specific neurological diagnosis exhibited a different distribution within the two time-periods (Fig. 1) characterized by a significant reduction in stroke rates during the second wave (n = 54, 48.2% vs. n = 25, 22.5%, p < 0.001). Patients with moderate to severe respiratory disease exhibited a shorter time from symptom onset to hospitalization in the second wave compared to the first pandemic phases (days 0.40 ± 0.74 vs 2.79 ± 7.5, p = 0.037). During the second wave, patients showed lower mortality rates after adjusting for age and COVID-19 severity (n = 32, 38.6% vs. n = 19, 17.1%, p = 0.009), and better clinical outcomes adjusting for baseline status (mRS at discharge 2.40 ± 1.6 vs 1.81 ± 1.7, p = 0.019).
Fig. 1

Neurological diagnosis distribution during the first and second pandemic waves. Abbreviations: GBS, Guillain-Barrè syndrome; ICH, intracerebral hemorrhage, SAH, subarachnoid hemorrhage; TIA: transient ischemic attack

Neurological diagnosis distribution during the first and second pandemic waves. Abbreviations: GBS, Guillain-Barrè syndrome; ICH, intracerebral hemorrhage, SAH, subarachnoid hemorrhage; TIA: transient ischemic attack The Cox regression model identified age (p = 0.001), COVID-19 severity (i.e., BCRSS, p < 0.001), pre-morbid comorbidity (i.e., CIRS, p = 0.028), and the different time period (i.e., waves, p = 0.012) as independent significant predictors of mortality in hospitalized patients. Standard steroid treatment was adopted in 4.7% and 48.1% of patients admitted during the first and second waves, respectively (p < 0.001). Specific Cox regression analyses revealed steroid treatment as an independent predictor of survival (ExpB 2.084, IC 1.072–4.050, p = 0.007) after adjusting for age, BCRSS, CIRS, and time period—in the global sample (Supplementary Fig. 1).

Discussion

The study showed that patients admitted during the second wave of the COVID-19 pandemic were younger, exhibited lower pulmonary severity, a different distribution of neurological diagnosis, lower mortality rates, and better neurological outcomes compared to patients admitted during the first wave. The different healthcare strategies adopted during the two phases of the pandemic and the modulation with steroid treatments appeared to be independent predictors of mortality in addition to age, pre-morbid conditions, and COVID-19 severity in the cohort. This study included 223 consecutive COVID-19 patients hospitalized for neurological disorders admitted during two different peaks of the pandemic in Italy in a tertiary hub for Neuro-COVID patient. During the first phases of the pandemic, we observed a higher prevalence of cerebrovascular diseases, representing more than half of patients evaluated in the emergency room [8]. During the second phase of the pandemic, conversely, we observed a slightly higher prevalence of patients hospitalized for encephalopathies or headaches, whereas cerebrovascular events decrease to about a third of admitted patients. These differences might be due to younger age, lower comorbidity status, and lower severity of COVID-19 observed during the second wave, as severe SARS-Cov-2 infection with prominent systemic response has been claimed to be associated with increased risk of stroke [2-4]. The Cox regression model identified the severity of pulmonary disease, age, and pre-morbid conditions as the most important predictors of mortality, with a strong difference in mortality rates between first and second waves (38% vs 17%). On the one hand, the general decrease of severity of COVID-19 disease during the second wave—reported in Europe and USA—might largely explain the reduction of mortality and medical complications observed [9-12]. On the other hand, the management of COVID-19 patients consistently improved during the second pandemic wave both at primary care and at the hospital level [13]. The total number of COVID-19 dedicated units and beds were increased along with both the non-invasive ventilation and patients were hospitalized earlier and with milder symptoms [10]. Second, the lessons learned from the first phases of the pandemic allowed the development of standardized procedures and guidelines for the management of patients with moderate and severe COVID-19 disease, thus strongly improving the care of patients since the early stages. Third, the primary care doctors were directly involved in the initial management of patients with COVID-19 infection, thus increasing the referral to specific COVID-19 units when needed [11]. Dexamethasone and remdesivir substituted hydroxychloroquine and lopinavir, and anticoagulation therapy was promptly administrated since the first days of admission [14]. Indeed, the time interval since onset appeared to improve survival and outcome independently from the severity of the disease. Furthermore, the known increased inflammatory response to the viral infection might be an important modulator of incidence and severity of related CNS disorders [2–4, 15] in addition to systemic complications. This fits with the results of our study, indicating immunomodulatory treatment as an independent predictor of mortality—in addition to the time of hospitalization and severity of the disease. We acknowledge that this work entails some limitations, as this is a monocentric study with a relatively small sample size and we could not exclude that some patients with COVID-19 disease and neurological symptoms or syndromes did escape the referral, especially for mild cases not requiring hospitalization. Moreover, this is a retrospective study, and treatments’ effects are evaluated by an observational approach. Nevertheless, this is the first study evaluating the differences between neurological COVID-19 patients during the two pandemic waves. Findings showed that different management strategies adopted and the lessons learned by health workers from the first pandemic phases largely explain the improvement in final outcomes observed independently from the reduction of severity of SARS-CoV-2 infection. Larger ongoing multicenter studies are warranted to confirm and extend these findings in order to understand the future global impact of healthcare system organization, immunomodulatory treatments, and the large use of vaccination on the outcome of neurological patients with COVID-19 disease. Below is the link to the electronic supplementary material. Supplementary file1 (DOCX 382 KB)
  14 in total

1.  COVID-19 impact on consecutive neurological patients admitted to the emergency department.

Authors:  Andrea Pilotto; Alberto Benussi; Ilenia Libri; Stefano Masciocchi; Loris Poli; Enrico Premi; Antonella Alberici; Enrico Baldelli; Sonia Bonacina; Laura Brambilla; Matteo Benini; Salvatore Caratozzolo; Matteo Cortinovis; Angelo Costa; Stefano Cotti Piccinelli; Elisabetta Cottini; Viviana Cristillo; Ilenia Delrio; Massimiliano Filosto; Massimo Gamba; Stefano Gazzina; Nicola Gilberti; Stefano Gipponi; Marcello Giunta; Alberto Imarisio; Paolo Liberini; Martina Locatelli; Francesca Schiano; Ranata Rao; Barbara Risi; Luca Rozzini; Andrea Scalvini; Veronica Vergani; Irene Volonghi; Nicola Zoppi; Barbara Borroni; Mauro Magoni; Matilde Leonardi; Gianluigi Zanusso; Sergio Ferrari; Sara Mariotto; Alessandro Pezzini; Roberto Gasparotti; Ciro Paolillo; Alessandro Padovani
Journal:  J Neurol Neurosurg Psychiatry       Date:  2020-10-14       Impact factor: 10.154

2.  Clinical characteristics and outcomes of inpatients with neurologic disease and COVID-19 in Brescia, Lombardy, Italy.

Authors:  Alberto Benussi; Andrea Pilotto; Enrico Premi; Ilenia Libri; Marcello Giunta; Chiara Agosti; Antonella Alberici; Enrico Baldelli; Matteo Benini; Sonia Bonacina; Laura Brambilla; Salvatore Caratozzolo; Matteo Cortinovis; Angelo Costa; Stefano Cotti Piccinelli; Elisabetta Cottini; Viviana Cristillo; Ilenia Delrio; Massimiliano Filosto; Massimo Gamba; Stefano Gazzina; Nicola Gilberti; Stefano Gipponi; Alberto Imarisio; Paolo Invernizzi; Ugo Leggio; Matilde Leonardi; Paolo Liberini; Martina Locatelli; Stefano Masciocchi; Loris Poli; Renata Rao; Barbara Risi; Luca Rozzini; Andrea Scalvini; Francesca Schiano di Cola; Raffaella Spezi; Veronica Vergani; Irene Volonghi; Nicola Zoppi; Barbara Borroni; Mauro Magoni; Alessandro Pezzini; Alessandro Padovani
Journal:  Neurology       Date:  2020-05-22       Impact factor: 9.910

3.  Calculated Decisions: Brescia-COVID Respiratory Severity Scale (BCRSS)/Algorithm.

Authors:  Andrea Duca; Simone Piva; Emanuele Focà; Nicola Latronico; Marco Rizzi
Journal:  Emerg Med Pract       Date:  2020-04-16

4.  COVID-19 mortality in Italy: The first wave was more severe and deadly, but only in Lombardy region.

Authors:  Francesco Chirico; Gabriella Nucera; Lukasz Szarpak
Journal:  J Infect       Date:  2021-05-14       Impact factor: 6.072

5.  The emerging spectrum of COVID-19 neurology: clinical, radiological and laboratory findings.

Authors:  Ross W Paterson; Rachel L Brown; Laura Benjamin; Ross Nortley; Sarah Wiethoff; Tehmina Bharucha; Dipa L Jayaseelan; Guru Kumar; Rhian E Raftopoulos; Laura Zambreanu; Vinojini Vivekanandam; Anthony Khoo; Ruth Geraldes; Krishna Chinthapalli; Elena Boyd; Hatice Tuzlali; Gary Price; Gerry Christofi; Jasper Morrow; Patricia McNamara; Benjamin McLoughlin; Soon Tjin Lim; Puja R Mehta; Viva Levee; Stephen Keddie; Wisdom Yong; S Anand Trip; Alexander J M Foulkes; Gary Hotton; Thomas D Miller; Alex D Everitt; Christopher Carswell; Nicholas W S Davies; Michael Yoong; David Attwell; Jemeen Sreedharan; Eli Silber; Jonathan M Schott; Arvind Chandratheva; Richard J Perry; Robert Simister; Anna Checkley; Nicky Longley; Simon F Farmer; Francesco Carletti; Catherine Houlihan; Maria Thom; Michael P Lunn; Jennifer Spillane; Robin Howard; Angela Vincent; David J Werring; Chandrashekar Hoskote; Hans Rolf Jäger; Hadi Manji; Michael S Zandi
Journal:  Brain       Date:  2020-10-01       Impact factor: 13.501

6.  First and second waves of coronavirus disease-19: A comparative study in hospitalized patients in Reus, Spain.

Authors:  Simona Iftimie; Ana F López-Azcona; Immaculada Vallverdú; Salvador Hernández-Flix; Gabriel de Febrer; Sandra Parra; Anna Hernández-Aguilera; Francesc Riu; Jorge Joven; Natàlia Andreychuk; Gerard Baiges-Gaya; Frederic Ballester; Marc Benavent; José Burdeos; Alba Català; Èric Castañé; Helena Castañé; Josep Colom; Mireia Feliu; Xavier Gabaldó; Diana Garrido; Pedro Garrido; Joan Gil; Paloma Guelbenzu; Carolina Lozano; Francesc Marimon; Pedro Pardo; Isabel Pujol; Antoni Rabassa; Laia Revuelta; Marta Ríos; Neus Rius-Gordillo; Elisabet Rodríguez-Tomàs; Wojciech Rojewski; Esther Roquer-Fanlo; Noèlia Sabaté; Anna Teixidó; Carlos Vasco; Jordi Camps; Antoni Castro
Journal:  PLoS One       Date:  2021-03-31       Impact factor: 3.240

7.  Differences between the waves in Northern Italy: How the characteristics and the outcome of COVID-19 infected patients admitted to the emergency room have changed.

Authors:  Marco Bongiovanni; Rossana Arienti; Francesco Bini; Bruno Dino Bodini; Elisa Corbetta; Luigi Gianturco
Journal:  J Infect       Date:  2021-04-28       Impact factor: 6.072

Review 8.  Neurological associations of COVID-19.

Authors:  Mark A Ellul; Laura Benjamin; Bhagteshwar Singh; Suzannah Lant; Benedict Daniel Michael; Ava Easton; Rachel Kneen; Sylviane Defres; Jim Sejvar; Tom Solomon
Journal:  Lancet Neurol       Date:  2020-07-02       Impact factor: 44.182

9.  Neurological Comorbidity Is a Predictor of Death in Covid-19 Disease: A Cohort Study on 576 Patients.

Authors:  David García-Azorín; Enrique Martínez-Pías; Javier Trigo; Isabel Hernández-Pérez; Gonzalo Valle-Peñacoba; Blanca Talavera; Paula Simón-Campo; Mercedes de Lera; Alba Chavarría-Miranda; Cristina López-Sanz; María Gutiérrez-Sánchez; Elena Martínez-Velasco; María Pedraza; Álvaro Sierra; Beatriz Gómez-Vicente; Ángel Guerrero; David Ezpeleta; María Jesús Peñarrubia; Jose Ignacio Gómez-Herreras; Elena Bustamante-Munguira; Cristina Abad-Molina; Antonio Orduña-Domingo; Guadalupe Ruiz-Martin; María Isabel Jiménez-Cuenca; Santiago Juarros; Carlos Del Pozo-Vegas; Carlos Dueñas-Gutierrez; Jose María Prieto de Paula; Belén Cantón-Álvarez; Jose Manuel Vicente; Juan Francisco Arenillas
Journal:  Front Neurol       Date:  2020-07-07       Impact factor: 4.003

10.  First and second COVID-19 waves in Japan: A comparison of disease severity and characteristics.

Authors:  Sho Saito; Yusuke Asai; Nobuaki Matsunaga; Kayoko Hayakawa; Mari Terada; Hiroshi Ohtsu; Shinya Tsuzuki; Norio Ohmagari
Journal:  J Infect       Date:  2020-11-02       Impact factor: 6.072

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