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Revista da Associação Médica Brasileira logoLink to Revista da Associação Médica Brasileira
. 2023 Feb 20;69(3):458–462. doi: 10.1590/1806-9282.20221564

A propensity score-matched retrospective cohort study of hysterectomies for benign disease during the COVID-19 pandemic

Isabella Barcellos Leite 1, Nino Jose Wilson Moterani Junior 2,3,*, Vinicius Cesar Moterani 2, Laura Bresciani Bento Gonçalves Moterani 2, Francisco José Candido dos Reis 3
PMCID: PMC10004295  PMID: 36820776

SUMMARY

OBJECTIVE:

This study aimed to evaluate how the pandemic might have affected the number of elective and urgent hysterectomies for benign gynecological pathologies in a single-care tertiary center in the State of São Paulo, Brazil, and to identify if there were any changes in the need for blood transfusions.

METHODS:

This is a single-center retrospective cohort study. It involved all non-puerperal and non-oncological hysterectomies from October 2018 to July 2021. Patients were divided into two groups, namely, the pandemic group (46 patients) and the control group (92 patients). Data were collected by reviewing the physical and electronic patient records. We carried out the statistical analysis using the RStudio software.

RESULTS:

The number of planned hysterectomies was 82 in the pre-pandemic group and 23 in the analysis group, representing a 71.9% decrease. When considering only urgent surgeries, 10 of them happened in the pre-pandemic group, while 23 occurred in the pandemic group, representing an increase of 130%.

CONCLUSION:

Elective hysterectomies may improve the quality of life of women, reducing abnormal bleeding and pelvic pain. Treatment delay can worsen patients' physiological and biological conditions, such as lower labor production, humor, and social aspects, increasing costs to the healthcare system.

KEYWORDS: COVID-19, Hysterectomy, Pandemics, Gynecologic surgical procedures

INTRODUCTION

The coronavirus disease (COVID-19) pandemic started on May 2019 in the city of Wuhan, Hubei Province, China 1 . In Brazil, the first case was reported in March 2020 in the city of São Paulo 2 . Governments, fearing a collapse of health systems, started social distancing policies. Healthcare facilities had to postpone outpatient appointments and elective surgeries in order to prioritize resources to treat patients with acute respiratory syndrome (ACR) caused by the novel coronavirus (SARS-CoV-2) 3-7 .

Among the postponed surgeries, hysterectomies are included. This procedure is widely used to treat several gynecological diseases, most coursing with abnormal uterine bleeding, and may be performed by different access points, such as vaginal, laparotomy, or laparoscopy 7,8 .

The number of deaths and people directly affected by the COVID-19 pandemic worldwide has been widely investigated. However, the full burden of the outbreak remains unknown, especially regarding changes in the treatment of other diseases 9,10 .

The goal of this study was to evaluate how the pandemic might have affected the number of elective and urgent hysterectomies for benign gynecological pathologies in a single-care tertiary center in the State of São Paulo, Brazil, and to identify if there were any changes in the need for blood transfusions.

METHODS

We performed a single-center retrospective cohort study. We included all non-puerperal hysterectomies performed from October 2018 up to July 2021. From March 2020 to July 2021, our Outpatient Clinic of Gynecology was closed as a restrictive measure due to the COVID-19 pandemic. Therefore, patients who needed immediate medical care had to seek our emergency department. Thus, we divided patients into two groups: the pre-pandemic group contains patients who underwent hysterectomy from October 2018 to February 2020 and the pandemic group represents patients who had their surgeries performed from March 2020 to July 2021. Thus, both groups spanned a period of 17 months. Exclusion criteria were patients with planned oncological hysterectomies and missing data.

Our main hypothesis is that patients having surgery during the pandemic period had different pre-surgical hemoglobin levels and required different amounts of blood transfusions when compared to patients in the control group. Furthermore, we also analyzed the proportion of elective and urgent surgeries during each period.

Data were collected by reviewing physical and electronic patient records. All data were collected by one of the researchers, and it was checked for inconsistencies by two other different researchers. In case of inconsistencies, patient records were reviewed again.

For each patient, we recorded information regarding ethnicity, education level, marital status, type of surgery (elective or urgent), surgical operative time in hours, hemoglobin level before surgery, and volume of blood transfusion before, during, and after the surgery, if any. Blood transfusion was included when occurring 30 days before or after the surgery.

Since there were more patients in the group whose surgery happened before the pandemic, we used propensity score matching with a ratio of 2 controls per 1 case to compare both groups. Equal variables for matching were ethnicity, marital status, educational level, type of surgery, and surgery length 11 . Nominal variables were adjusted for this method. The race was adjusted to a binary variable, as either white or non-white ethnicity, since the majority of patients belonged to this group. Marital status was also converted into a binary variable, either in a relationship with a partner or without a relationship. Education was maintained as an ordinal variable with seven degrees, namely, no education, incomplete primary grade, complete primary grade, incomplete high school education, complete high school education, incomplete college education, or complete college education. We used a linear regression model to test the correlation between the amount of blood transfusion required and the aforementioned variables. The same procedure was carried out for pre-surgical hemoglobin levels and the study variables. This process was repeated for an exploratory subgroup analysis among all urgent surgery patients in the study. Finally, the number of planned and urgent surgeries in both groups of the total cohort was compared with the exact Poisson test, with the period of 17 months being equal in both groups. We carried out the statistical analysis using the RStudio version 4.1.1 software (dated 2021-08-10).

This research follows the STROBE guideline. The study began after ethical approval by the local research ethics committee (CAAE 51821921.8.0000.5413). We followed the Declaration of Helsinki.

RESULTS

Initially, we included 262 patients. Following exclusion criteria, we removed 81 patients who were planned oncological surgeries. One patient was excluded due to missing data. Of the 180 patients included, 46 patients underwent surgeries during the pandemic, which were matched to 92 controls, for a total of 138 patients analyzed in this research.

The number of planned hysterectomies was 82 in the pre-pandemic group and 23 in the analysis group, representing a 71.9% decrease. The exact Poisson test is statistically significant in this analysis, with a p-value <0.01. When considering only urgent surgeries, 10 happened in the pre-pandemic group, while 23 occurred in the pandemic group, representing an increase of 130%. The Poisson exact test for the number of urgent surgeries demonstrated a higher-than-expected value during the outbreak, and the p-value was 0.03.

Linear regression models applied to the matched cohort identified a statistically significant association between the amount of blood transfusion and both surgery type (p<0.01) and surgery length (p<0.01). Pre-surgical hemoglobin values in the linear regression model were correlated exclusively to surgery type (p<0.01). In both cases, surgery before or during the COVID-19 pandemic as an individual variable was not associated with the amount of blood transfusion required or pre-surgical hemoglobin. This group is presented in Table 1.

Table 1. Characteristics of a cohort of patients submitted to hysterectomy before and during the COVID-19 pandemic.

Pandemic (n=46) Pre-pandemic (n=92) Overall (n=138)
Ethnicity
Non-white 15 (32.6%) 22 (23.9%) 37 (26.8%)
White 31 (67.4%) 70 (76.1%) 101 (73.2%)
Marital status
No relationship with partner 16 (34.8%) 29 (31.5%) 45 (32.6%)
Relationship with partner 30 (65.2%) 63 (68.5%) 93 (67.4%)
Education level
No education 0 (0%) 2 (2.2%) 2 (1.4%)
Incomplete primary grade 20 (43.5%) 42 (45.7%) 62 (44.9%)
Complete primary grade 12 (26.1%) 14 (15.2%) 26 (18.8%)
Incomplete high school 1 (2.2%) 5 (5.4%) 6 (4.3%)
Complete high school 9 (19.6%) 20 (21.7%) 29 (21.0%)
Incomplete college education 1 (2.2%) 2 (2.2%) 3 (2.2%)
Complete college education 3 (6.5%) 7 (7.6%) 10 (7.2%)
Surgery length
Mean (SD) 3.03 (0.883) 2.85 (1.04) 2.91 (0.989)
Median [min, max] 2.75 [1.67, 5.50] 2.75 [1.00, 6.58] 2.75 [1.00, 6.58]
Surgery type
Planned 23 (50.0%) 82 (89.1%) 105 (76.1%)
Urgent 23 (50.0%) 10 (10.9%) 33 (23.9%)
Pre-surgical hemoglobin
Mean (SD) 10.8 (3.15) 12.8 (2.29) 12.2 (2.78)
Median [min, max] 11.2 [4.90, 16.5] 13.2 [5.90, 23.7] 12.6 [4.90, 23.7]
Blood bags used
Mean (SD) 1.39 (2.21) 0.348 (1.35) 0.696 (1.75)
Median [min, max] 0 [0, 9.00] 0 [0, 10.0] 0 [0, 10.0]

Analysis continued in the urgency hysterectomy group, which had a total of 33 patients. In the linear regression model, no variable was found to be associated with either the amount of blood transfusion required or the pre-surgical hemoglobin levels. Characteristics of this subgroup are summarized in Table 2.

Table 2. Characteristics of a subgroup of patients submitted to urgent hysterectomy before and during the COVID-19 pandemic.

Pandemic (n=23) Pre-pandemic (n=10) Overall (n=33)
Ethnicity
Non-white 7 (30.4%) 4 (40.0%) 11 (33.3%)
White 16 (69.6%) 6 (60.0%) 22 (66.7%)
Marital status
No relationship with partner 9 (39.1%) 2 (20.0%) 11 (33.3%)
Relationship with partner 14 (60.9%) 8 (80.0%) 22 (66.7%)
Education level
No education 0 (0%) 2 (20.0%) 2 (6.1%)
Incomplete primary grade 11 (47.8%) 4 (40.0%) 15 (45.5%)
Complete primary grade 5 (21.7%) 1 (10.0%) 6 (18.2%)
Incomplete high school 0 (0%) 0 (0%) 0 (0%)
Complete high school 5 (21.7%) 3 (30.0%) 8 (24.2%)
Incomplete college education 1 (4.3%) 0 (0%) 1 (3.0%)
Complete college education 1 (4.3%) 0 (0%) 1 (3.0%)
Surgery length
Mean (SD) 3.02 (0.844) 3.88 (1.30) 3.28 (1.06)
Median [min, max] 2.75 [2.25, 5.50] 3.54 [2.50, 6.17] 2.83 [2.25, 6.17]
Pre-surgical hemoglobin
Mean (SD) 8.73 (2.64) 10.4 (3.05) 9.24 (2.83)
Median [min, max] 8.40 [4.90, 14.2] 11.6 [5.90, 14.1] 8.90 [4.90, 14.2]
Blood bags used
Mean (SD) 2.57 (2.59) 2.60 (3.31) 2.58 (2.77)
Median [min, max] 2.00 [0, 9.00] 1.50 [0, 10.0] 2.00 [0, 10.0]

DISCUSSION

There was a reduction in the number of surgeries performed during the pandemic period. This finding is probably related to health policies to prioritize resources to deal with the pandemic, such as operating rooms, individual protection equipment, and medications. On the contrary, an increase in urgent surgeries was found, as well as a positive association between urgent surgeries and lower pre-surgical hemoglobin values and the amount of blood transfusion required. Moreover, there was a delay in outpatient clinic appointments and elective surgeries to avoid a collapse of the healthcare system 12-16 .

Our findings are similar to a study that evaluated the total number of gynecological procedures performed in 2019 and 2020, due to benign and malign pathologies, in a large teaching hospital system. In that study, a reduction of 75% in the number of surgeries performed was found as a consequence of the delay of elective surgeries 3 . Another study evaluated hospital admission in 18 teaching hospitals in Germany, and comparing 2018 to 2020, hysterectomies due to benign conditions suffered a reduction of 78.8% 4 .

Although we observed a reduction in hysterectomies, we also found an increase of 130% in the number of urgent hysterectomies during the pandemic. Moreover, urgent surgeries were associated with the necessity of blood transfusion and lower pre-surgical hemoglobin values. Therefore, it is possible that the delay in appointments and surgeries worsened the gynecological condition that demanded a hysterectomy 17 .

It is important to note that if, on the one hand, the delay of appointments and surgeries probably helped dealing with the pandemic, on the other hand, other conditions were neglected. The increase in the need for blood transfusions, in a scenario of a global decrease in blood donations, shows us that health policies must consider several variables 18,19 .

As the strengths of this study, we point out that we collected data from a large number of uniform patient electronic records. As limitations, our findings represent the reality of the region assisted by our service and may not represent what was observed in our state or country.

CONCLUSION

Elective hysterectomies may improve the quality of life of women, reducing abnormal bleeding and pelvic pain. Treatment delay can worsen patients' physiological and biological conditions, such as lower labor production, humor, and social aspects, increasing costs to the healthcare system 3,4,20 .

Footnotes

Funding: none.

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