Non-COVID-19 In-Hospital Admission in a Large Academic Center in Belgium During the First Two Waves of the COVID-19 Pandemic.

BACKGROUND: Preliminary reports described a reduction in non-COVID admissions during the first wave of the pandemic including some of critical diseases such as cancer, myocardial and cerebral infarction.
OBJECTIVE: The aim of our study was to evaluate the impact of the COVID-19 pandemic on non-COVID in-hospital admissions in a large academic center in Belgium.
MATERIALS AND METHODS: We performed a retrospective study of non-COVID-19 in-hospital admissions during the first two waves of the COVID-19 pandemic. The average number of admissions per week in 2020 has been compared to that of the same period in 2019 and 2018. Comparisons were made first for all admissions, then by disease groups, using the classification of APRDRG, and then by diagnoses using ICD-10-CM classification.
RESULTS: Overall in-hospital admissions were reduced by around 39% and 29% during the first and the second waves of the COVID-19 pandemic respectively compared to 2018 and 2019. No significant difference was found between the average number of admissions in the early-COVID and the pre-COVID baseline period during the two waves. The average number of admissions was significantly reduced in the peak-COVID period compared to the baseline (first wave: 332 versus 763 admissions/week, p<0.01, -57%; second wave: 496 versus 788 admissions/week, p<0.01, -37%), as well as in the late-COVID period compared to the baseline (first wave: 412 versus 763 admissions/week, p<0.01, -46%; second wave: 470 versus 788 admissions/week, p<0.01, -40%). Cancer, myocardial and cerebral infarction admissions were not statistically reduced during the the two waves of COVID pandemic compared to the pre-COVID period.
CONCLUSION: Our study shows that non-COVID in-hospital admissions rates were substantially reduced during the first two waves of COVID-19 pandemic. In our study, cancer, myocardial and cerebral infarction admissions were not statistically reduced, which was not in accordance to what was described in the literature.

Introduction

The Coronavirus disease 2019 (COVID-19) pandemic due to severe acute respiratory syndrome virus 2 (SARS-CoV-2) resulted in significant pressure on the health care systems of countries around the world.1–3 Hospitals were rapidly overwhelmed by the number of COVID-19 patients requiring hospital care, and by the need to control the spread of the disease. To try to respond to this pandemic, the majority of hospitals adopted special measures, including work reorganization, creation of dedicated COVID wards and resource reallocation.1–3 At the countries level, many governments enforced restrictive measures to control the spread of the disease, including among others lockdowns, the closing of schools and non-essential commercial activities, non-essential travel restrictions and social distancing. In Belgium on March 13, 2020, a complete lockdown was declared. This lockdown led to a modification of routine hospital practices with the consequences of postponing or canceling admissions of non-COVID-19 patients for whom non-urgent care was not necessary. The consequences of this strategy on the clinical outcomes and quality of life of non-COVID-19 patients are not completely evaluated or understood. Many reports suggest that even patients with life-threatening conditions may have avoided in-hospital admission, because of the fear of SARS-CoV-2 potential exposure or other non-understood reasons.4–8 Preliminary reports described in some countries a reduction on non-COVID in-hospital admissions during the first wave of the pandemic including some of critical diseases such as cancer, myocardial and cerebral infarctions.9–15

Belgium is among countries severely hit by the COVID-19 pandemic. During the first wave, Belgium was ahead of the United Kingdom, Spain, Italy and Sweden in terms of deaths related to COVID-19 per 100,000 inhabitants. However, data on the impact of restrictive measures on non-COVID patients in-hospital admissions in our country are not published.

The aim of our study was to evaluate the impact of the COVID-19 pandemic on non-COVID in-hospital admissions (all admissions and admissions per group of diseases) during the first and second waves in a large academic center in Belgium.

Materials and Methods

Context and Setting

In Belgium on March 13, 2020, a complete lockdown was declared. All hospitals have been asked to activate their emergency plan to be able to welcome all COVID-19 patients. This involved increasing their capacity in the intensive care unit (ICU), and postponing all non-urgent consultations, examinations and elective interventions. During the second wave, an adaptive plan was developed to manage the occupation of beds from October and depending on the evolution of the pandemic. However, on October 30, 2020, due to a high increase in the number of contamination, the government declared a second lockdown. All hospitals were again asked to activate their emergency plan (non-urgent consultations were not cancelled this time).

The Cliniques Universitaires Saint-Luc (CUSL) is one of the largest teaching hospitals with a capacity of 973 beds, located in Brussels, Belgium. There are around 39,000 in-hospital admissions each year, or 750 admissions per week. In our hospital, we have made the following decisions regarding admissions: all the patients admitted to hospital were tested by PCR on nasopharyngeal swab to rule out SARS-CoV-2 infection. Wearing a mask was compulsory for all nursing staff during and outside care. We created two separate channels for radiological investigation, one for COVID patients and another for non-COVID patients. An operating theater dedicated specifically to COVID patients was created. During the first wave, vital surgical and oncological admissions were maintained from March to May 2020, however all non-urgent surgeries and surgeries performed in one-day clinic were canceled. Every surgeon was also asked on a case-to-case basis to select himself what he considered as urgent surgery every week and to postpone what he considered as non-urgent. The final decision was taken by the institutional board of COVID management. Surgical activities were then gradually resumed, first at 55% in the first half of May 2020 then 75% in the second half of May 2020 and for a recovery at 100% in June 2020. Concerning non-surgical admissions, activities in gastroenterology and neurology other than stroke have been reduced, as have alcohol withdrawal activities. During the second wave, admissions for surgery were managed as follows: from October 26, 2020 we halved access to the operating room with maintenance of all vital and oncological emergencies, and from the beginning of November to a third of the operative activity, and to return to a full activity in December 2020. For non-surgical admissions we stopped only the alcohol withdrawal activities and we resumed full activity at the end of December.

Methods

We analyzed retrospectively non-COVID-19 in-hospital admissions, using data from minimum clinical summary from patient charts. Admissions for COVID-19 reasons were excluded, based on diagnostic codes (ICD-10-CM classification: B9729). The average number of admissions per week in 2020 has been compared to that of the same period in 2019 and 2018. Admissions in 2020 have been separated between the first wave of the COVID-19 pandemic: from March 1, 2020 to May 9, 2020 and the second wave: from September 6, 2020 to December 19, 2020. During each wave, we looked at three different time periods, depending on the incidence of admissions for COVID-19: an early period (early-COVID period: March 1, 2020 to March 21, 2020; September 6, 2020 to October 10, 2020), a peak period (peak-COVID: from March 22, 2020 to April 11, 2020; October 11, 2020 to November 14, 2020) and a late period (late-COVID: from April 12, 2020 to May 30, 2020; November 15, 2020 to December 19, 2020), these three periods being compared to a baseline period without COVID (pre-COVID period). The pre-COVID period consists of the calendar weeks of 2018 and 2019 mirroring those of 2020 which were used to define the periods of interest for the COVID-19 epidemic. The weeks of 2018 and 2019 are pooled by period of interest to form an identical group, the number of admissions entered for the baseline is therefore an average of 2018 and 2019. Comparisons were made first for all admissions; then by disease groups, using the classification of APRDRG (All patient Refined Diagnosis Related Group) in version 34 (the thirty most frequent APRDRGs during the pre-COVID period); then by diagnosis categories (the thirty most frequent admission groups of diagnoses during the pre-COVID period), using the 3 first-digit codes according to the International Classification of Diseases (ICD-10-CM).

Inclusion and Exclusion Criteria

All in-hospital admissions of the same selected periods of interest in 2018, 2019 and 2020 were included, except COVID-19 admissions, based on diagnosis code (ICD-10-CM classification: B9729).

Ethical Issues

The institutional ethical board approved the study (CEHF 2020/06AVR/201, Comité d’Ethique Hospitalo-Facultaire, Cliniques Universitaires Saint-Luc). Since it was a retrospective study, an informed consent was not necessary. The study was performed in accordance with guidelines outlined in the Declaration of Helsinki, and confidentiality of patients was guaranteed.

Outcomes

The first objective was to compare the number of non-COVID in-hospital admissions during the two waves of the COVID-19 pandemic with admissions during a similar period in 2018 and 2019.

The second objective was to analyse the impact of COVID pandemic on in-hospital admissions for diagnosis considered as the most frequent during the pre-COVID period (2018 and 2019).

Statistical Analysis

In-hospital admissions were considered continuous and results were expressed as means, without decimals. We used parametric tests thanks to the large number of admissions, even in the subgroups. We performed analysis of variance, with the SIDAK correction for multiple comparisons, assuming a level of statistical significance of <0.01. Post-hoc comparisons were made between the average number of admissions per week during the early-COVID and the pre-COVID period (p-valuea in tables), then between the peak-COVID and the pre-COVID period (p-valueb in tables), and between the late-COVID period and the peak -COVID period (p-valuec in tables). Analyses were implemented using SAS for Windows version 9.4. The charts were produced using Microsoft Excel 2016.

Results

Primary Outcome

During the first wave of the COVID-19 pandemic, between March 1, 2020 and May 9, 2020, there were 4608 non-COVID admissions in Cliniques Universitaires Saint Luc, compared to 7649 admissions in 2018 and 7614 in 2019; this corresponds to a reduction of 39% of admissions per week during the first wave compared to 2018 and 2019 (461 admissions per week, and 765 and 761, respectively in 2018 and 2019: p<0.01).

During the second wave, between September 6 and December 19, 2020, there were 8378 non-COVID admissions, compared to 11,768 and 11,876 admissions in 2018 and 2019; this corresponds to a reduction of 29% of admissions per week during the second wave compared to 2018 and 2019 (558, 784 and 792 admissions per week during the second wave, in 2018 and in 2019 respectively: p<0.01).

According to the defined and so-called periods of the COVID-19 (early, peak and late) (Table 1).

Table 1

Admissions per Week by Period of Interest During First and Second Waves of COVID-19

COVID Waves	Mean Hospitalizations per Week
	Baseline	Early COVID-19	P valuea	Peak COVID-19	P valueb	Late COVID-19	P valuec	P valued
First Wave	763	654	0.15	332	<0.01	412	0.68	<0.01
Second wave	788	709	0.03	496	<0.01	470	0.97	<0.01

Notes: aComparison of early COVID-19 admissions to baseline admissions. bComparison of peak COVID-19 admissions to baseline admissions. cComparison of late COVID-19 admissions to peak COVID-19 admissions. dComparison of late COVID-19 admissions among all the periods.

The average number of admissions per week in the early-COVID period was not statistically different in the two waves of COVID from the pre-COVID baseline period (First wave: 654 admissions/week versus 763, p=0.15, reduction of 14%; Second wave: 709 admissions/week versus 788, p=0.02, reduction of 10%).

The average number of admissions per week in the peak-COVID period was significantly lower from the pre-COVID baseline period (First wave: 332 admissions/week versus 763, p<0.01, reduction of 56%; Second wave: 496 admissions/week versus 788, p<0.01, reduction of 37%).

The average number of admissions per week in the late-COVID period was significantly lower from the pre-COVID baseline period (First wave: 412 admissions/week versus 763, p<0.01, reduction of 46%; Second wave: 470 admissions/week versus 788, p<0.01, reduction of 40%).

Secondary Outcome

Analyses by APRDRG Classification

Considering the disease groups classification (APRDRG), we found no significant decrease in the average number of admissions per week between the early and the pre-COVID period, during the first two waves (Table 2, Figure 1A and B []).

Table 2

Comparison of Mean Non-COVID Hospitalizations per Week According to APRDRG During the First and Second Waves

APRDRG	Mean Hospitalizations per Week During the First Wave							Mean Hospitalizations per Week During the Second Wave
	Baseline	Early COVID-19	P valuea	Peak COVID-19	P valueb	Late COVID-19	P valuec	Baseline	Early COVID-19	P valuea	Peak COVID-19	P valueb	Late COVID-19	P valuec
053 Seizure	12	11	0.98	6	0.06	8	0.99	11	10	0.98	10	0.99	10	0.99
058 Other disorders of nervous system	7	5	0.54	1	<0.01	3	0.97	7	7	0.99	4	0.22	5	0.99
073 Eye procedures except orbit	8	7	0.86	2	0.01	3	0.99	7	6	0.92	3	<0.01	3	0.99
098 Other ear, nose, mouth & throat procedures	9	7	0.81	2	<0.01	2	0.99	10	8	0.92	4	<0.01	4	0.99
115 Other ear, nose, mouth, throat & cranial/facial diagnoses	12	11	0.99	3	<0.01	4	0.99	17	15	0.99	7	<0.01	9	0.98
139 Other pneumonia	9	12	0.53	4	0.36	3	0.99	7	4	0.22	3	0.09	3	0.99
144 Respiratory signs, symptoms & minor diagnoses	8	8	0.99	3	0.17	2	0.99	8	9	0.99	4	0.18	4	0.99
163 Cardiac valve procedures w/o AMI or complex PDX	6	4	0.57	3	0.11	4	0.97	6	6	0.98	2	<0.01	2	0.99
175 Percutaneous coronary intervention w/o AMI	22	20	0.99	6	<0.01	14	0.19	23	23	0.99	16	0.02	18	0.95
181 Lower extremity arterial procedures	8	6	0.86	2	<0.01	3	0.99	8	7	0.96	5	<0.01	4	0.99
191 Cardiac catheterization for coronary artery disease	9	8	0.99	1	0.01	2	0.99	8	8	0.99	6	0.36	8	0.8
192 Cardiac catheterization for other non-coronary conditions	16	14	0.91	3	<0.01	7	0.92	16	17	0.98	8	<0.01	10	0.93
194 Heart failure	9	7	0.74	4	0.02	6	0.86	8	7	0.97	5	0.13	6	0.99
225 Appendectomy	5	2	0.48	3	0.63	4	0.99	5	6	0.99	6	0.84	5	0.84
254 Other digestive system diagnoses	8	6	0.6	3	<0.01	4	0.98	7	5	0.26	6	0.49	6	0.99
301 Hip joint replacement	8	7	0.99	2	0.04	4	0.98	9	8	0.99	3	<0.01	4	0.99
302 Knee joint replacement	9	8	0.99	1	0.02	2	0.99	10	10	0.99	3	<0.01	2	0.99
313 Knee & lower leg procedures except foot	7	7	0.99	1	0.1	4	0.86	6	8	0.03	4	0.53	3	0.98
443 Kidney & urinary tract procedures for non-malignancy	8	5	0.74	3	0.06	4	0.99	8	8	0.99	4	0.03	5	0.95
463 Kidney & urinary tract infections	5	3	0.71	3	0.39	4	0.99	7	5	0.77	4	0.02	4	0.99
513 Uterine & adnexa procedures for non-malignancy except leiomyoma	8	6	0.79	0	0.05	3		9	8	0.99	2	<0.01	4	0.98
540 Cesarean delivery	8	10	0.87	7	0.93	7	0.99	8	6	0.35	8	0.99	6	0.82
560 Vaginal delivery	22	19	0.9	22	0.99	25	0.97	25	22	0.7	23	0.87	21	0.99
640 Neonate birthwt >2499 g, normal newborn or neonate	26	27	0.99	26	0.99	29	0.94	29	26	0.82	28	0.99	24	0.71
696 Other chemotherapy	14	16	0.92	16	0.99	14	0.99	17	18	0.99	17	0.99	16	0.99
720 Septicemia & disseminated infections	6	5	0.78	5	0.91	4	0.97	7	5	0.41	4	0.26	3	0.99
772 Alcohol & drug dependence w rehab, detox, therapy	7	8	0.99	0	<0.01	0		8	7	0.99	4	<0.01	0
861 Signs, symptoms & other factors influencing health status	11	8	0.97	2	0.16	4	0.99	9	9	0.99	5	<0.01	6	0.98
862 Other aftercare & convalescence	15	13	0.97	2	0.06	12	0.57	18	18	0.99	9	<0.01	6	0.72
951 Moderately extensive procedure unrelated to principal diagnosis	10	7	0.18	2	<0.01	5	0.5	10	9	0.99	7	0.61	4	0.76

Notes: aComparison of early COVID-19 admissions to baseline admissions. bComparison of peak COVID-19 admissions to baseline admissions. cComparison of late COVID-19 admissions to peak COVID-19 admissions.

During the peak-COVID period, the following APRDRGs decreased significantly compared to the baseline pre-COVID period: Other disorders of the nervous system (First wave: 1 vs 7 admissions per week, p<0.01, reduction of 85%); Eye procedures except orbit (First wave: 2 vs 8 admissions per week, p=0.01, reduction of 76%; Second wave: 3 vs 7 admissions per week, p<0.01, reduction of 55%); Other ear, nose, mouth and throat procedures (First wave: 2 vs 9 admissions per week, p<0.01, reduction of 83%; Second wave: 4 vs 10 admissions per week, p<0.01, reduction of 59%); Other ear, nose, mouth, throat and cranial or facial diagnoses (First wave: 3 vs 12 admissions per week, p<0.01, reduction of 79%; Second wave: 7 vs 17 admissions per week, p<0.01, reduction of 58%); Cardiac valve procedures without acute myocardial infarction or complex procedures and diagnoses (Second wave: 2 vs 6 admissions per week, p<0.01, reduction of 69%); Percutaneous coronary intervention without acute myocardial infarction (First wave: 6 vs 22 admissions per week, p<0.01, reduction of 74%; Second wave: 16 vs 23 admissions per week, p=0.01, reduction of 31%); Lower extremity arterial procedures (First wave: 2 vs 8 admissions per week, p<0.01, reduction of 80%; Second wave: 5 vs 8 admissions per week, p<0.01, reduction of 42%); Cardiac catheterization for other non-coronary conditions (First wave: 3 vs 16 admissions per week, p<0.01, reduction of 80%; Second wave: 8 vs 16 admissions per week, p<0.01, reduction of 50%); Other digestive system diagnoses (First wave: 3 vs 8 admissions per week, p<0.01, reduction of 68%); Hip joint replacement (Second wave: 3 vs 9 admissions per week, p<0.01, reduction of 68%); Knee joint replacement (First wave: 1 vs 9 admissions/week, p=0.02, reduction of 88%; Second wave: 3 vs 10 admissions per week, p<0.01, reduction of 72%); Uterine and adnexa procedures for non-malignancy except leiomyoma (First wave: 0 vs 8 admissions per week, p<0.01, reduction of 100%; Second wave: 2 vs 9 admissions per week, p<0.01, reduction of 73%); Alcohol and drug dependence with rehabilitation, detoxication, therapy (First wave: 0 vs 7 admissions per week, p<0.01, reduction of 100%; Second wave: 4 vs 8 admissions per week, p<0.01, reduction of 42%); Signs, symptoms and other factors influencing health status (Second wave: 5 vs 9 admissions per week, p<0.01, reduction of 50%); Other aftercare and convalescence (Second wave: 9 vs 18 admissions per week, p<0.01, reduction of 48%); Moderately extensive procedure unrelated to principal diagnosis (First wave: 2 vs 10 admissions per week, p<0.01, reduction of 79%).

Average admissions per week did not statistically increase during the late-COVID period, compared to the peak-COVID period.

Some APRDRGs remained very stable across the different periods of the two waves of the pandemic: Appendectomy, Cesarean delivery, Vaginal delivery, Neonate birthweight >2499 g - normal newborn or neonate, Other chemotherapy.

Analyses by Diagnosis (ICD10-CM)

Considering the thirty most frequent admission diagnoses according to ICD-10-CM, admissions did not statistically decrease during the early-COVID period (Table 3, Figure 1C and D ]). The diseases whose average admissions per week statistically decreased during the peak-COVID period compared to the baseline pre-COVID period were: Alcohol related disorders (First wave: 3 vs 9 admissions per week, p<0.01, reduction of 73%; Second wave: 5 vs 10 admissions per week, p<0.01, reduction of 57%); Sleep disorders (First wave: 1 vs 13 admissions per week, p<0.01, reduction of 92%; Second wave: 9 vs 17 admissions per week, p<0.01, reduction of 49%); Chronic ischemic heart disease (First wave: 9 vs 23 admissions per week, p<0.01, reduction of 61%); Atrial fibrillation and flutter (First wave: 1 vs 9 admissions per week, p<0.01, reduction of 86%); Atherosclerosis (Second wave: 4 vs 8 admissions per week, p<0.01, reduction of 47%).

Table 3

Comparison of Mean Non-COVID Hospitalizations per Week According to ICD-10-CM During the First and Second Waves

Diagnosis	Mean Hospitalizations per Week During the First Wave							Mean Hospitalizations per Week During the Second Wave
	Baseline	Early COVID-19	P valuea	Peak COVID-19	P valueb	Late COVID-19	P valuec	Baseline	Early COVID-19	P valuea	Peak COVID-19	P valueb	Late COVID-19	P valuec
A41 Other sepsis	6	5	0.97	4	0.41	4	0.99	8	5	0.1	5	0.09	3	0.91
AAA Mental disorders	7	7	0.99	6	0.97	5	0.99	7	7	0.99	7	0.99	6	0.98
C34 Malignant neoplasm of bronchus and lung	5	4	0.99	5	0.99	2	0.75	4	4	0.99	4	0.99	2	0.68
C50 Malignant neoplasm of breast	5	4	0.99	3	0.8	4	0.99	5	5	0.99	3	0.14	5	0.32
C78 Secondary malignant neoplasm of respiratory and digestive organs	5	4	0.87	4	0.87	4	0.99	6	4	0.42	4	0.29	4	0.99
E11 Type 2 diabetes mellitus	6	6	0.99	2	0.11	3	0.98	5	6	0.99	3	0.34	2	0.66
F10 Alcohol related disorders	9	8	0.83	3	<0.01	3	0.99	10	9	0.95	5	<0.01	2	0.37
G40 Epilepsy and recurrent seizures	12	10	0.91	6	0.08	7	0.99	11	11	0.99	10	0.99	10	0.99
G47 Sleep disorders	13	13	0.99	1	<0.01	1	0.99	17	17	0.99	9	<0.01	8	0.99
I21 STEMI & NSTEMI myocardial infarction	9	9	0.99	4	0.17	5	0.99	7	7	0.99	5	0.69	6	0.99
I25 Chronic ischemic heart disease	23	22	0.99	9	<0.01	12	0.98	23	23	0.99	17	0.27	18	0.99
I35 Non-rheumatic aortic valve disorders	9	9	0.99	2	0.02	6	0.54	9	8	0.99	5	0.02	7	0.92
I48 Atrial fibrillation and flutter	9	7	0.51	1	<0.01	3	0.89	8	9	0.98	5	0.19	6	0.99
I63 Cerebral infarction	7	6	0.99	3	0.19	5	0.93	7	6	0.9	6	0.83	5	0.99
I70 Atherosclerosis	7	6	0.91	2	0.13	2	0.99	8	7	0.99	4	<0.01	3	0.86
J18 Pneumonia, unspecified organism	6	7	0.98	5	0.99	2	0.74	6	5	0.96	2	0.14	2	0.99
J44 Other chronic obstructive pulmonary disease	5	4	0.99	4	0.97	2	0.97	5	3	0.68	2	0.05	2	0.99
K35 Acute appendicitis	6	2	0.25	3	0.47	5	0.91	5	6	0.95	6	0.95	5	0.84
K80 Cholelithiasis	8	8	0.99	4	0.04	3	0.99	9	8	0.99	5	0.12	4	0.99
M17 Osteoarthritis of knee	8	7	0.98	0	0.18	1	0.99	9	9	0.99	4	0.13	3	0.99
O48 Late pregnancy	6	8	0.98	10	0.27	8	0.9	8	7	0.99	7	0.99	7	0.99
R53 Malaise and fatigue	6	3	0.49	1	0.11	3	0.97	4	5	0.62	3	0.96	3	0.99
S72 Fracture of femur	6	6	0.99	4	0.77	4	0.99	6	7	0.99	5	0.83	5	0.99
S82 Fracture of lower leg, including ankle	5	5	0.99	1	0.12	4	0.69	4	5	0.96	3	0.89	2	0.99
T82 Complications of cardiac and vascular prosth device/graft	5	3	0.88	2	0.32	4	0.91	5	3	0.12	2	0.05	4	0.9
T84 Complications of internal orthopedic prosth device/graft	5	6	0.99	2	0.4	3	0.99	5	5	0.99	3	0.32	2	0.99
Z38 Liveborn infants according to place of birth and type of delivery	32	32	0.99	30	0.99	33	0.99	36	29	0.08	31	0.37	26	0.67
Z46 Encounter for fitting and adjustment of other devices	9	10	0.99	1	0.03	5	0.85	11	13	0.92	10	0.95	5	0.21
Z48 Encounter for other postprocedural aftercare	6	6	0.99	1	0.14	3	0.99	8	5	0.38	4	0.01	3	0.99
Z51 Encounter for other aftercare	19	22	0.8	19	0.99	17	0.96	22	22	0.99	21	0.99	18	0.92

Notes: aComparison of early COVID-19 admissions to baseline admissions. bComparison of peak COVID-19 admissions to baseline admissions. cComparison of late COVID-19 admissions to peak COVID-19 admissions.

There was no significant increase in admissions by diagnosis during the late-COVID period, compared to the peak-COVID period.

Some admissions rates remained particularly stable across the different COVID-period: admissions for ST-elevation of myocardial infarction (STEMI) and non-STEMI, cerebral infarction, malignant neoplasm (bronchus and lung, breast, and secondary neoplasm for respiratory and digestive organs), mental diseases, hip fractures, liveborn infants.

Discussion

The first main findings of our study was that non-COVID admissions (all categories) were reduced during the COVID crisis by around 39% during the first wave and 29% during the second wave compared to 2018 and 2019.

Our results on non-COVID in-hospital admissions are in line with those published in the literature.9–16 Birkmeyer et al found in a large study of approximately one million medical admissions in the US that declines in non-COVID admissions from the first two months of COVID crisis exceeded 20% for all primary admission diagnoses.9 Kapsner et al found that overall in-patient hospital admissions in Germany decreased by 35% in the first month and by 30.3% in the second month after the lockdown announcement during the first wave compared to 2018.10 Caminiti et al found in Italy that approximately one third of the overall admissions for non-COVID in 2020 vs 2019 was reduced.11 Blecker et al found a reduction of non-COVID admissions by 32% and 43% during de COVID first wave compared to 2018 and 2019 respectively.17 Kuhlen et al reported also a decrease of 42.7% in-hospital admissions between March 3 and April 19, 2020 in comparison with 2019.15 Recently, Bodilsen et al in a Danish nationwide cohort study involving more than 1 million of hospital admissions, found that compared with the pre-COVID baseline period (mean hospital admission rate 204.1 per 100,000/week), the overall hospital admission rate for non COVID-19 conditions was reduced to 142.8 per 100,000/week after the first national lockdown, followed by a gradual return to baseline state until the second lockdown when it decreased to 158.3 per 100,000/week.16

The second most interesting findings of our study is that the decrease of admissions (non-COVID) was statistically significant during the peak-COVID and late-COVID periods but not the early-COVID period during the two waves compare to pre-COVID period. The decrease was in most of the type of admissions but some were significantly affected by the crisis depending on restrictive measures undertaken at the country and hospital levels. Blecker et al17 found also similar results with no difference in rate of hospitalization between the early COVID-19 period and the baseline period (604.3 vs 584.5 per week; P=0.19), and a decreased during the peak COVID-19 period (247.0 per week; P<0.001). They found also that the rate of hospitalization decreased across all categories of diagnoses during the peak COVID-19 period.17

Very interestingly, our analyses found that myocardial infarction (STEMI, NSTEMI), cerebral infarction and cancer were not statistically reduced during the two waves of COVID pandemic compared to the pre-COVID period in our hospital. Our results contrasted with those published in the literature10,14,15,17–21 and were somewhat similar to a recent study by Solomon et al.22 Kapsner et al10 found that there were a reduction of 38.7% of admissions for myocardial infarction (736 to 451) from 2018 to 2020 and 19.6% of admissions for stroke (1260 to 1013).10 Günster et al14 found a decrease in 2020 admissions for myocardial infarction compared to 2019. Rodríguez-Leor et al reported in Spain for STEMI-related procedures across 73 sites in Spain a reduction of 40%.13 Recently, Mafham et al, in a large National Health Services (NHS) database in England, found a reduction in coronary syndrome admissions in March 2020 of 40% compared to 2019, but this reduction had slowed down in the following months and was not more than 16% at the end of May. It should be noted that this reduction concerned all types of acute coronary syndromes, including STEMI and NSTEMI but the reduction was much greater for NSTEMI. There were 21% and 37% reduction of the number of percutaneous coronary intervention (PCI) procedures for STEMI and non STEMI respectively at the end of March.20 Similarly, a French study of 1167 patients admitted for acute myocardial infarction within 48 hours with an equivalent number of STEMI and NSTEMI, found a 30% reduction in acute myocardial infarction admissions between the post-lockdown period and pre-lockdown. More precisely there was a reduction of 24% and 35% for STEMI and NSTEMI respectively. The reduction was observed with similar trends according to sex, risk factors and regional prevalence of hospital admissions for COVID-19.21

Concerning cancer care, many other groups reported a reduction of in-hospital admissions and surgeries between 8–39% for lung cancer10,15,22 and between 2–14% for brain cancer.10,15

The difference seen between our results and those published in the literature in terms of the reduction of these critical diseases can be explain partially by our hospital policy (coronary unit, cardiac intensive care and cardiac surgery unit, stroke unit, oncological one-day clinic and ward were fully open) and our careful selection of emergency procedures (each physician was asked to select himself on case by case and on week basis admissions requiring urgent care). Indeed, we found a significant decreased in cardiac valve procedures without acute myocardial infarction or complex procedures and diagnoses (Second wave: 2 vs 6 admissions per week, p<0.01, reduction of 69%); Percutaneous coronary intervention without acute myocardial infarction (First wave: 6 vs 22 admissions per week, p<0.01, reduction of 74%; Second wave: 16 vs 23 admissions per week, p=0.02, reduction of 31%); Cardiac catheterization for other non-coronary conditions (First wave: 3 vs 16 admissions per week, p<0.01, reduction of 80%; Second wave: 8 vs 16 admissions per week, p<0.01, reduction of 50%). More recently, data from the Kaiser Permanente Northern California shows that the reduction observed at the beginning of the pandemic in March for acute myocardial infarctions and strokes was not observed during the second wave of the pandemic. A modest decline was observed for stroke alerts during the summer COVID-19 surge but quickly rebounded.22

Our carefully selection of emergency was also illustrated by the fact that surgeries for hip fractures were not reduced during the two waves, in contrast to surgeries of knee and hip replacement. Indeed, we found a statistically significant decrease in average number of admissions per week of hip joint replacement (Second wave: 3 vs 9 admissions per week, p<0.01, reduction of 68%); knee joint replacement (First wave: 1 vs 9 admissions/week, p=0.02, reduction of 88%; Second wave: 3 vs 10 admissions per week, p<0.01, reduction of 72%) during waves. Our results of hip fracture surgeries and hip and knee replacement surgeries are similar to those found in Germany by Kapsner et al10 and Günster et al.14 Kapsner et al10 in Germany found that in the first month of the lockdown there was no reduction in the number of admissions for hip fractures while there was an 82% reduction for primary hip and knee prostheses.10 This was not always the case in some other European countries,23–25 confirming the effect of different hospitals and countries policies on the impact of COVID pandemic on non-COVID in-hospital admissions.

This study has limitations. First, it is a retrospective analysis based on observational data collected in a single center despite the fact that it is the largest teaching hospital in Brussels. Secondly, our data represented a partial picture of all Belgian academic centers or general hospitals. Thirdly, despite using different type of classification (APRDRG, ICD10-M) we cannot exclude bias and limitations inherent to those classifications. Finally, our study is not designed to analyse the impact of the reduction of non-COVID admissions on the quality of life or the outcomes of those patients. Nevertheless, our study provided an excellent overview of the impact of COVID pandemic on non COVID-in-hospital admissions and this impact depends on lockdown decision at the country level and also depends on the local policy at the hospital level.

Conclusions

Our study shows that non-COVID in-hospital admissions rates were substantially reduced following the national COVID-19 lockdown in Belgium during the COVID pandemic specially during the peak and late COVID period of the first and second waves. The reduction concernsw all non-COVID category of admissions, however in our hospital, critical clinical situations such as cancer, myocardial and cerebral infarctions were not statistically reduced compared to what was described in the literature. This is very interesting because deferring those critical situations is expected to severely impair quality of life and clinical outcomes. It would be interesting to see whether this was only the situation in our hospital or the global situation at the national level.