Women with cancer and COVID-19: an analysis of lethality and clinical aspects in Pernambuco

Abstract

Objectives:

to analyze the lethality and clinical characteristics in Pernambuco women with neoplasia that were infected by SARS-CoV-2.

Methods:

a cross-sectional, retrospective study with female patients with neoplasm sin the state of Pernambuco registered and made available by the Secretariat of Planning and Management of the State of Pernambuco (SEPLAG PE). Secondary data from public domain notifications and the independent factors associated with death were analyzed through logistic regression. The value ofp<0.25 was considered significant in the bivariate analysis and for a multivariate analysis, the value ofp<0.05 was considered significant.

Results:

forty-nine women died. The mean age and standard deviation were 58.75 ± 20.93 years. 55.86% of the patients were 60 years old or more. The overall lethality rate was 72.06% (CI95%=59.8 - 82.2). The most prevalent symptoms were fever (70.59%), cough (58.82%), dyspnea (57.35%) and O2 saturation less than 95% (48.53%).

Conclusions:

female patients, with cancer and infected by SARS-CoV-2 are particularly susceptible to death, regardless of the presence of comorbidities or age, with peripheral O₂ saturation <95% being the only independent factor associated with death in this group.

Key words:
Oncology; COVID-19; Pandemic; Risk factors; Women

Resumo

Objetivos:

analisar a letalidade e características clínicas em mulheres pernambucanas portadoras de neoplasia que apresentaram infecção por SARS-CoV-2.

Métodos:

estudo de corte transversal, retrospectivo com pacientes do sexo feminino, portadoras de neoplasias no estado de Pernambuco com registros disponibilizados pela Secretaria de Planejamento e Gestão do Estado de Pernambuco. Analisou-se dados secundários de notificações de domínio público e os fatores independentes associados ao óbito através de regressão logística. Foi considerado significativo o valor de p<0,25 na análise bivariada e para a análise multivariada foi considerado significativo o valor de p<0,05.

Resultados:

quarenta e nove mulheres vieram a óbito. A média da idade e desvio padrão foram 58, 75 ± 20,93 anos. 55,86% das pacientes tinham 60 anos ou mais. A taxa de letalidade global foi de 72,06% (IC95%= 59,8 - 82,2). Os sintomas mais prevalentes foram febre (70,59%), tosse (58,82%), dispneia (57,35%) e saturação de O₂ <95% (48,53%).

Conclusão:

pacientes do sexo feminino, com câncer e infectadas pelo SARS-CoV-2 são particularmente suscetíveis a óbito, independentemente da presença de comorbidades ou da idade, sendo a saturação periférica de O₂ <95% o único fator independente associado ao óbito nesse grupo.

Palavras-chave:
Oncologia; COVID-19; Pandemia; Fatores de Risco; Mulheres

Introduction

COVID-19 (coronavirus disease) is a disease of zoonotic origin, mainly respiratory, which may cause important systemic limitations. In Brazil, the first case was confirmed in February 26, 2020, and virus dissemination reached high proportions in the country due to its speed of transmission, low testing rates and difficulties to completely block the propagation in a largely heterogeneous population.^1,2

With the continuous increase of number of cases worldwide, it was noticed that older age and presence of comorbidities such as diabetes, cardiovascular diseases and cancer are associated with an increase in morbimortality by COVID-19. Cancer, particularly recognized as a global public health problem according to the World Health Organization (WHO), leads individuals to become more susceptible to COVID-19 infection, due to the disease itself or its treatment, thus they present higher risk of severe events and death compared to patients without cancer or yet with another comorbidities.^3-4

If on one hand cancer is an important risk factor for death by COVID-19, on the other hand, female gender seems to be a protective factor.^4-7 This protection can be explained by the low prevalence of comorbidities, smoking, alcohol consumption and occupational exposure in this group.⁴ Furthermore, women usually present higher practice of hand hygiene⁸ and are more prone to search for preventive care.⁹ Also, a biological characteristic related to gender is the difference in the angiotensinconverting enzyme 2 (ACE2) receptors, located on the X chromosome , which grants women higher levels of this enzyme, thus being an additional protective factor against more acute manifestations of COVID-19 infection compared to men.^10-13

Yet, information on mortality in different population groups and regions in Brazil are still not clear, particularly that related to women with cancer and infected by SARS-CoV-2 in underprivileged regions in Brazil, such as the Northeast, which is familiar with other risk factors, such as social vulnerabilities and difficulties in healthcare access. In this way, the aim of this study is to assess mortality and clinical characteristics presented by women with neoplasm and who presented SARS-CoV-2 infection in the State of Pernambuco.

Methods

Cross-sectional cohort study with retrospective data. Cases of COVID-19 confirmed by RT-PCR (Reverse transcription polymerase chain reaction) for SARS-CoV-2 in female patients were eligible, with neoplasms, notified from February 13 to June 19, 2020, in the State of Pernambuco and made available by the Secretary of Planning and Management of the State of Pernambuco (SEPLAG PE - Portuguese acronym).

In the FORMSUS, SRAS notification form, severe cases, with or without hospitalization are notified (https://www.cievspe.com/notifique-aqui). The e-SUS sheet, Individual Registration Sheet of the Secretary of Primary Health Care, is used to report mild cases (influenza-like illness) in the population, non-hospitalized patients in general (https://notifica.saude.gov.br). Both show epidemiological data, results of laboratory exams for COVID-19 confirmation and evolution of patients.

Both sheets, e-SUS and FORM-SUS, in Excel© format, were analyzed by the researchers of this study. Initially, analysis of data consistency was performed, which excluded duplicities and inconsistent data.

For the analysis, were included data regarding age, symptoms and signs including peripheral oxygen saturation lower or equal to 95% (SpO₂ <95%), comorbidities, residence locations by Regional Health Management - GERES (Portuguese acronym), date of notification, hospitalization and death.

Symptoms registered in the information systems as [symptoms] or [other symptoms] or [select presented symptoms] or [other symptoms (which)] or even included among comorbidities were grouped in this study in the following categories: Fever, Coryza/Nasal Congestion. Sore Throat, Cough, Dyspnea, O₂ saturation <95%, Diarrhea, Nausea/Vomit, Headache, Myalgia, Anosmia/ Hyposmia or Ageusia Tiredness/Fatigue, Respiratory Distress/Chest Tightness.

In the original sheets, notified comorbidities were grouped in: Cardiovascular Disease, Chronic Respiratory Disease, Chronic Kidney Disease, Diabetes, Overweight/Obesity, Immunosuppression, Chromosomal Disorders and non-informed. The outcome of interest assessed was death.

Statistical analyses were performed in Excel for macOS version 16.16.26 and Epi Info version 7.2. Descriptive data were presented in tables of distribution of frequencies with mean and standard deviation measures. In order to determine independent factors associated with death, logistic regression was used. It was considered significant the value of p<0.25 in the bivariate analysis, and for multivariate analysis, p< 0.5 value was considered significant.

This study analyzed secondary data from public domain database, disregarding the appreciation of Research Ethics Committee.

Results

The e-SUS sheet contained 65,535 registries occurred in the period from February 13 to June 24, 2020 and the Form-SUS, 28, 605 notifications in the period from February 25 to June 19, 2020. 72 patients who met the eligibility criteria were identified, and they were grouped in a single database for further exclusion of duplicities. It was not possible to retrieve or determine the date of occurrence of symptoms for four patients, who were considered losses; thus, 68 patients were considered. The age and standard deviation means (SD) were 58.75 ± 20.93 years and median 61.5. A proportion of 4.41% of patients were under 20 years old and 55.86% had 60 years of age or more.

In regards of municipalities of residence, GERES 1- Recife (65.71%), followed by GERES 2 - Limoeiro (8.82%) and GERES 9 - Oricuri (7.35%) notified more patients. GERES 4 - Caruaru notified 5.88% if cases, GERES 10 - Afogados da Ingazeira 4.41%, GERES 12 - Goiana 2.94% and GERES 3 and 6 notified 1.47% of cases each one. 2.94% of patients were from other State (Table 1).

It was also observed that 60.29% of patients were followed by SUS (Portuguese acronym for Unified Health System), 25% in private hospitals and 14.71% did not have their medical care locations informed. In relation to deaths, 61.22% occurred in public health units, 22.45% in private units and 2.04% in households. 14.29% of death locations were not informed (Table 1).

Table 1
Sociodemographic analysis relation GERES to the hospitalization and death location in women with cancer and COVID-19 in the period between March and June 2020. Data from SEPLAG PE

GERES	Total		Death		Location of hospitalization								Location of death
					Public		Private		Non-informed		Public		Private		Home		Non- informed
	N	%	N	%	n	%	n	%	n	%	n	%	n	%	n	%	n	%
I - Recife	44	64.71	34	69.39	25	36.76	11	16.18	8	11.76	20	40.82	7	14.29	1	2.04	6	12.24
II - Limoeiro	6	8.82	4	8.16	3	4.41	2	2.94	1	1.47	2	4.08	2	4.08	0	-	0	-
III - Palmares	1	1.47	1	2.04)	0	-	1	1.47	0	-	1	2.04	1	2.04	0	-	0	-
IV- Caruaru	4	5.88	2	4.08	1	1.47	2	2.94	1	1.47	4	8.16	-		0	-	1	2.04
IX - Ouricuri	5	7.35	5	10.2	4	5.88	1	1.47	0	-	1	2.04	1	2.04	0	-	0	-
VII - Salgueiro	1	1.47	0	-	1	1.47	0	-	0	-	-		0	-	0	-	0	-
X - Afogados da Ingazeira	3	4.41	1	2.04	3	4.41	0	-	0	-	1	2.04	0	-	0	-	0	-
XII - Goiana	2	2.94	1	2.04	2	2.94	0	-	0	-	1	2.04	0	-	0	-	0	-
Other State	2	2.94	1	2.04	2	2.94	0	-	0	-	0	-	0	-	0	-	0	-

The global mortality rate was 72.06% (CI95%= 59.8 - 82.2). Table 2 shows mortality rate by age, being 50-59 years (81.82% CI95%=8.7 - 32.0), 6069 years (76.47% CI95%= 14.9 - 41.0), 70-79 years (90.00% CI95% = 8.7% - 32.0), and from 80 years on (90.91% CI95%= 10.2- 34.3). Until the time of data collection, 16.18% were hospitalized in isolated beds, 10.29% have recovered, and 1.47% were in home isolation.

Table 2
Mean relation of days between the onset of the first symptom and death and mortality by age groups of women with cancer and COVID-19 in the period between March and June 2020. Data from SEPLAG PE.

Age group (years)	Mean of days between first symptom and death	Mortality
		n	%
0 - 19	6 ± 0.00	1	33.33
20 - 49	10 ± 5.53	7	43.75
50 - 59	19.11 ± 19.29	9	81.82
60 - 69	11.84 ± 5.98	13	76.47
70 - 79	11.77 ± 8.36	9	90.00
> 80	9.6 ± 4.72	10	90.91

It was also observed that the mean of days between the onset of first symptoms and death was of 12.32 ± 10.13 days (SD) and median 9.00. It is worth highlighting that between 50 and 79 years the mean of days were the highest,, being 19.1 days between 50-59 years, 11.84 days between 60-69 years and 11.77 days between 70-79 years. 2 patients between 50 and 59 years, evolved, the first with 48 days and the other with 55 days since the onset of symptoms until the outcome (Table 2).

There was no registry of signs/symptoms in 1.47% of cases. The most prevalent symptoms in the analyzed sample were fever (70.59%), cough (58.82%), dyspnea (57.35%) and peripheral saturation of O₂<95% (48.53%) (Table 3).

Table 3
Prevalence of comorbidities, signs, and symptoms of women with cancer and COVID-19 in the period between March and June 2020. Data from SEPLAG PE.

Variables	Cases
	Total		Deaths
	N	%	N	%
	68	100.0	49	100.0
Signs and Symptoms
Fever	48	70.59	36	73.47
Cough	40	58.82	27	55.10
Dyspnea	39	57.35	32	65.31
Saturation of SpÜ2< 95%	33	48.53	29)	59.18
Sore throat	11	16.18	8	16.33
Nausea/ Vomit	7	10.29	6	12.24
Coryza/ Nasal Congestion	5	7.35	1	2.04
Diarrhea	4	5.88	4	8.16
Headache	3	4.41	1	2.04
Myalgia	3	4.41	0	-
Anosmya/ Hyposmia or Ageusia	1	1.47	1	2.04
Tiredness/ Fatigue	1	1.47	1	2.04
Number of comorbidities
1	18	26.47	16	32.65
2	6	8.82	4	8.16
3	3	4.41	2	4.08
Non-informed	41	60.29	27	55.10
Comorbidities
Cardiovascular diseases	19	27.94	16	32.65
Diabetes	9	13.24	7	14.29
Chronic respiratory disease	6	8.82	5	10.20
Chronic kidney disease	2	2.94	1	2.04
Overweight/ obesity	1	1.47	0	-
Chromosomal disorders	1	1.47	1	2.04

Other comorbidities were present in 39.71% of patients, being more frequent Cardiovascular Diseases (27.94%), Diabetes Mellitus (13.24%) and Chronic Respiratory Disease (8.82%) (Table 3). Furthermore, 26.7% of patients presented only one comorbidity associated with cancer, 13.23% presented two or more associated comorbidities. The association of cardiovascular diseases and diabetes was observed in 100% of cases with two or more comorbidities. A proportion of 44.90% of patients who died had comorbidities, of which 32.65% had cardiovascular diseases and 14.29% diabetes.

The crude and adjusted analysis of factors related to death identified the presence of peripheral O2 saturation lower or equal to 95% as the only independent factor associated with death (OR = 0.21; CI95%= 0.04 - 0.92; p = 0.039) (Table 4).

Table 4
Crude and adjusted analysis of factors associated with death in women with cancer and COVID-19 in the period between March and June 2020. Data from SEPLAG PE.

Variables	Deaths				Bivariate Analysis			Multivariate Analysis
	Yes		No		OR	CI95%	p	OR	CI95%	p
	n	%	n	%
Symptom
Fever	34	70.83	14	29.17	0.89	0.35 - 2.23	0.81	-	-	-
Cough	27	67.50	13	32.50	1.13	0.50 - 2.54	0.76	-	-	-
Saturation O2< 95%	29	87.88	4	12.12	0.17	0.05 - 0.60	0.005	0.21	0.04 - 0.92	0.039
Age (years)
<19	1	33.33	2	66.67	5.64	0.48 -66.31	0.168	9.81	0.58 - 164.35	0.112
20 - 49	7	43.75	9	56.25	5.40	1.61 - 18.01	0.006	2.52	0.54 - 11.56	0.234
50 - 59	9	81.82	2	18.18	0.52	0.10 -2.68	0.437	-	-	-
60 - 69	13	76.47	4	23.53	0.73	0.20 -2.63	0.640	-	-	-
70 - 79	9	90.00	1	10.00	0.24	0.9 - 2.09	0.200	0.49	0.04 - 5.23	0.556
>80	10	90.91	1	9.09	0.21	0.02 - 1.82	0.159	0.37	0.03 - 3.84	0.410
Comorbidities
Yes	18	24 .3	56	75.7	2.27	0.71 - 7.30	0.166	1.24	0.29 - 5.32	0.768

Discussion

This study describes clinical findings of 68 COVID-19 cases confirmed by RT-PCR for SARS-CoV-2 between women with cancer during the first three months of the epidemic in Pernambuco (03/12 to 06/19/20), one of the epicenters of the disease in Brazil. Secondary data from notification sheets of patients attended in the basic care or hospitalized patients were used, when higher restriction and indication of RT-PCR tests occurred. Although it is the main limitation of this study, such tool remains of great usefulness for the epidemiological description of cases.

Predominant symptoms and signs were fever, cough, dyspnea and O₂ saturation lower or equal to 95%. The global mortality of 72.06% was high, as well as the mortality rate by age. The only independent factor associated with death was O2 saturation lower or equal to 95%.

The mean age of patients was 58.75 ± 20.93 years and 55.86% of patients had 60 years or more. The mean age involving oncologic patients with COVID-19 in China varied from 63.1 to 65 years, being slightly higher to the mean found in this study.^2,14 In this study, age did not indicate o be a variable associated with death. This could be explained, primarily, by the sample size, but also by the presence of cancer, which would rise the risk of death outcome by itself.

Whilst the mortality rate by COVID-19 in Brazil, in the same period of the data collected, was around 5% and in Pernambuco, 8%,¹⁵ the mortality for all oncologic patients in the state was 79.38%.16-18 Considering both mortality for the oncologic patients group in Pernambuco and the mortality for the sample, these were far higher than those found in the literature, which varied between 5.6% and 28.6%.¹⁴>¹⁹ The analysis of mortality by age group showed a clear ascending curve from 60 years on, and, comparatively, these data appeared to be distinct of those from Italy, where rates of fatal cases, considering oncologic and non-oncologic patients with COVID-19, rises exponentially after 70 years of age: 12.5% in 70-79 span, 19.7% in the 8090 years span and 22.7% after 90 years.²⁰ It is important to highlight that these high mortality rates reflect a period when there was no broad availability of tests, besides, the sample size might have influenced the percentages found.

Similar to the literature, 39.71% of women presented comorbidities, and 44.90% of patients who died had some comorbidity.¹⁴ Although several articles demonstrate that morbidities were strong risk factors for adverse clinical outcomes such as death, the presence of comorbidity was not considered an independent risk factor associated with death in this study, as well as in other Chinese study.^6,21-26 Once more, the sample size might have influenced the result, so as the absence of data and the precision of description of these in the database. Moreover, cancer also may be strongly related to death risk, reducing the influence of other comorbidities.

In regards of the symptoms, fever, cough, dyspnea and saturation of SpO₂< 95% were the most prevalent, agreeing with data from the litera-ture.^6,14,27 According to the Ministry of Health, the diagnosis of SRAS is considered, for every individual, of any age, with influenza-like illness and who presents signs of hypoxemia, as the saturation of SpO₂ <95% in environmental air.²⁸ The saturation of de SpO₂ < 95%, namely, was the only independent factor associated with death, after multivariate analysis, agreeing with the literature.⁶

The mean of time between the onset of first symptoms and death was lower than that find on a Chinese study, with a mean of 16 days (9.0-22.3).^{(14 )}Some hypotheses may justify this difference of days in both studies, as for example, the greater severity of Brazilian/ Pernambuco patients, difficulty of access to healthcare, slowness of diagnosis process and regulation for services of higher complexity, social vulnerabilities, or even lack of beds in ICUs and/or mechanic ventilators.²⁹

The present study has limitations such as the small sample and limited data regarding types of cancers and staging, besides information on the type of treatment conducted. Furthermore, comparisons between patients with and without cancer infected by COVID-19 may reveal additional information, although they were not performed in this study. Thus, further studies with broader samples and prospective study designs are necessary to explore even more the risk factors and severe events in women with cancer and COVID-19.

Therefore, it is concluded that female patients, with cancer and infected by SARS-CoV-2 are particularly susceptible to death, independently of comorbidities or age, being peripheral O₂ saturation < 95% the only independent factor associated with death in this group.

• ERRATA

  Revista Brasileira de Saúde Materno Infantil - Volume 21 Suplemento 1 págs. S157-S165
  In Page S159, Results, 8^th Paragraph,
  Where it reads: The crude and adjusted analysis of factors related to death identified the presence of peripheral O₂ saturation lower or equal to 95% as the only independent factor associated with death (OR = 0.21; CI95%= 0.04 - 0.92; p = 0.039 (Tabela 4).
  Reading: The crude and adjusted analysis of factors related to death, identified the presence of peripheral O₂ saturation less than or equal to 95% as the only risk factor associated with death (OR = 5.73; CI95%= 1.12-20.08; p = 0.035). On the otherhand, the age groups, 19 years or younger, (OR = 0.07; CI95%= 0.00-1.01; p = 0.051) and 20 to 49 years old (OR = 0.27; CI95%= 0.07-1.04; p = 0.057) were identified as protective factors related to death (Table 4).
  In Page S159, Discussion, 2^nd Paragraph,
  Where it reads: The only independent factor associated with death was O₂ saturation lower or equal to 95%.
  Reading: The only independent factor associated with higher death risk was O₂ saturation less than or equal to 95%. Less than 50 years old was considered a protective factor for death.
  In Page S163, Discussion, 6^th Paragraph,
  Where it reads: The saturation of SpO₂ ≤ 95%, namely, was the only independent factor associated with death, after multivariate analysis, agreeing with the literature.⁶
  Reading: SpO₂ saturation ≤ 95%, inclusively was the only independent factor associated with death risk, after multivariable analysis, in accordance with the literature.⁶
  In Page S163, Discussion, 9^th Paragraph,
  Where it reads: Therefore, it is concluded that female patients, with cancer and infected by SARS-CoV-2 are particularly susceptible to death, independently of comorbidities or age, being peripheral O₂ saturation ≤ 95% the only independent factor associated with death in this group.
  Reading: Therefore, it concludes that female patients with cancer and infected with SARS-CoV-2 are particularly susceptible to death, regardless of the presence of comorbidities, with peripheral O₂ saturation ≤95% being the only independent factor associated with higher risk of death in this group. Less than 50 years old was considered a protective factor for death in this group of patients.
  In Page S162, Where it reads:
  Table 4
  Crude and adjusted analysis of factors associated with death in women with cancer and COVID-19 in the period between March and June 2020. Data from SEPLAG PE.
  

  Variables	Deaths				Bivariate Analysis			Multivariate Analysis
  	Yes		No		OR	CI95%	p	OR	CI95%	p
  	n	%	n	%
  Symtom
  Fever	34	70.83	14	29.17	0.89	0.35 -2.23	0.81	-	-	-
  Cough	27	67.50	13	32.50	1.13	0.50-2.54	0.76	-	-	-
  Saturation O2 < 95%	29	87.88	4	12.12	0.17	0.05 -0.60	0.005	0.21	0.04-0.92	0.039
  Age (yeas)
  ≤19	1	33.33	2	66.67	5.64	0.48-66.31	0.168	9.81	0.58 - 164.35	0.112
  20-49	7	43.75	9	56.25	5.40	1.61 - 18.01	0.006	2.52	0.54- 11.56	0.234
  50- 59	9	81.82	2	18.18	0.52	0.10-2.68	0.437	-	-	-
  60-69	13	76.47	4	23.53	0.73	0.20-2.63	0.640	-	-	-
  70-79	9	90.00	1	10.00	0.24	0.29 -2.09	0.200	0.49	0.04-5.23	0.556
  ≥80	10	90.91	1	9.09	0.21	0.02 - 1.82	0.159	0.37	0.03 -3.84	0.410
  Comorbidities
  Yes	18	24 .3	56	75.7	2.27	0.71 -7.30	0.166	1.24	0.29 -5.32	0.768

  Reading:
  Table 4
  Crude and adjusted analysis of factors associated with death in women with cancer and COVID-19 in the period between March and June 2020. Data from SEPLAG PE.
  

  Variables	Deaths				Bivariate Analysis			Multivariate Analysis
  	Yes		No		OR	CI95%	p	OR	CI95%	p
  	n	%	n	%
  Signs and symtoms	18	24 .3	56	75.7	2.27	0.71 -7.30	0.166	1.24	0.29 -5.32	0.768
  Fever	34	70.83	14	29.17	1.12	0.45-2.79	0.811	-	-	-
  Cough	27	69.23	12	30.77	0.88	0.39-1.99	0.765	-	-	-
  Saturation O2 ≤ 95%	29	87.88	4	12.12	5.73	1.65-19.86	0.006	4.74	1.12-20.08	0.035
  Age (years)
  ≤ 19	1	33.33	2	66.67	0.18	0.02-2.08	0.168	0.07	0.00-1.01	0.051
  20-49	7	43.75	9	56.25	0.18	0.06-0.62	0.006	0.27	0.07-1.04	0.057
  50-59	9	81.82	2	18.18	1.91	0.37-9.80	0.437	-	-	-
  60-69	13	76.47	4	23.53	1.35	0.38-4.83	0.640	-	-	-
  70-79	9	90.00	1	10.00	4,05	0.48-34.41	0.200	-	-	-
  ≥ 80	10	90.10	1	9.09	4.62	0.55-38.8	0.159	-	-	-
  Comorbidities
  Yes	22	81.48	5	18.52	2.28	0.71-7.32	0.166	-	-	-

Acknowledgments

The authors thanks all health professionals involved with care if patients with COVID-19 and SEPLAG PE for the availability of data

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Publication Dates

• Publication in this collection
  24 Feb 2021
• Date of issue
  Feb 2021

History

• Received
  27 Sept 2020
• Accepted
  10 Nov 2020