Literature DB >> 34021327

Impact of COVID-19 on surgical emergencies: nationwide analysis.

A Lazzati1,2, M Raphael Rousseau3, S Bartier2,4,5,6,7, Y Dabi4,8, A Challine9, B Haddad4,8, N Herta4,10, E Souied4,10, M Ortala11, S Epaud11, M Masson11, N Salaün-Penquer11, A Coste2,4,5,6,7, C Jung12.   

Abstract

BACKGROUND: The COVID-19 pandemic has had a major impact on healthcare in many countries. This study assessed the effect of a nationwide lockdown in France on admissions for acute surgical conditions and the subsequent impact on postoperative mortality.
METHODS: This was an observational analytical study, evaluating data from a national discharge database that collected all discharge reports from any hospital in France. All adult patients admitted through the emergency department and requiring a surgical treatment between 17 March and 11 May 2020, and the equivalent period in 2019 were included. The primary outcome was the change in number of hospital admissions for acute surgical conditions. Mortality was assessed in the matched population, and stratified by region.
RESULTS: During the lockdown period, 57 589 consecutive patients were admitted for acute surgical conditions, representing a decrease of 20.9 per cent compared with the 2019 cohort. Significant differences between regions were observed: the decrease was 15.6, 17.2, and 26.8 per cent for low-, intermediate- and high-prevalence regions respectively. The mortality rate was 1.92 per cent during the lockdown period and 1.81 per cent in 2019. In high-prevalence zones, mortality was significantly increased (odds ratio 1.22, 95 per cent c.i. 1.06 to 1.40).
CONCLUSION: A marked decrease in hospital admissions for surgical emergencies was observed during the lockdown period, with increased mortality in regions with a higher prevalence of COVID-19 infection. Health authorities should use these findings to preserve quality of care and deliver appropriate messages to the population.
© The Author(s) 2021. Published by Oxford University Press on behalf of BJS Society Ltd.

Entities:  

Mesh:

Year:  2021        PMID: 34021327      PMCID: PMC8140197          DOI: 10.1093/bjsopen/zrab039

Source DB:  PubMed          Journal:  BJS Open        ISSN: 2474-9842


Introduction

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; COVID-19) pandemic has had profound effects on healthcare systems globally. Hospitals, in particular, have been overwhelmed by the massive influx of infected patients. To cope with the burden of disease, hospital workforce was reallocated and elective surgery significantly delayed. Various countries implemented a national lockdown, with major restrictions on all non-essential travel outside the home. In France, an initial lockdown was declared from 17 March to 11 May 2020. Few studies have reported on the impact on emergency department visits for acute illnesses not related to COVID-19 during the lockdown period, although decreased attendances have been described for myocardial infarction, trauma, and acute gastrointestinal conditions including appendicitis and acute cholecystitis. Although individual centres and specialties rapidly identified the impact of COVID-19 on surgical services, there remains a lack of information on its effect on emergency surgery at a nationwide level during lockdown. This study investigated how the sudden disruption of usual healthcare during the lockdown period affected acute surgery. The aim was to quantify changes in hospital admissions for emergency surgical conditions according to the regional prevalence of COVID-19, comparing the lockdown period with the same time interval in 2019. Potential changes in mortality were investigated.

Methods

This was an observational, analytical study of the impact of a national lockdown during the SARS-CoV-2 pandemic on the rate of surgical emergencies. Data were extracted from a national discharge database, the Programme De Médicalisation des Systèmes d’Information (PMSI), which collects all discharge reports from all hospitals in France, irrespective of facility ownership or academic affiliation. Discharge reports are mandatory and represent the basis for hospital funding. The database is comprehensive for all reimbursed surgical interventions in the country. Data collected included patient demographics (age, sex, postal code, admission and discharge dates) along with primary and associated diagnoses based on ICD-10.

Participants

All adult patients aged at least 18  years admitted during the period of lockdown between 17 March and 11 May 2020 and the equivalent period in 2019 (19 March and 13 May) were considered. Patients were identified in the database through the diagnosis-related group classification, used to identify any hospital stay in which a surgical event occurred. Only emergency admissions were considered, defined as any admission passing through the emergency department. In the case of multiple admissions for the same patient, all hospital stays were included.

Exposures and confounders

The exposure variable was the year of admission, 2019 versus 2020, the year 2019 being the reference group. Potential confounders in readmission destination were assessed at several levels. Baseline patient characteristics included age, sex, BMI, and co-morbidities, according to the Charlson Co-morbidity Index (using Bannay weighting). Regional differences were based on the reported ratios of hospital admissions for COVID-19 infection per 100 000 inhabitants. Three regional groups were established based on the numbers of admissions: 30 or more per 100 000 in high-prevalence regions, 15–29 per 100 000 in intermediate-prevalence regions, and fewer than 15 per 100 000 in low-prevalence regions. In the ICD-10 catalogue, diagnosis codes have a hierarchical classification in four levels based on 22 chapters, each using a letter code. Each chapter is divided into blocks of homogenous three-character categories (for instance, codes K35–K38 represent diseases of appendix). In this study, these two first levels of classification are referred to as chapters and blocks. Within each block, ICD-10 codes are classified into three-character categories (K35 represents acute appendicitis) and four-character subcategories (K35.2 represents acute appendicitis with generalized peritonitis), defining disease characteristics in increased detail. In this study, the last four-character level is referred to as a subcategory. In the present study, 90 per cent of the most frequent diagnoses using the four-character subcategories of ICD-10 codes were selected, reducing the number of diagnoses from over 10 000 to approximately 500. Complete attrition is reported in .

Outcomes

The main outcome of this study was the rate of admission for adult surgical emergencies during the lockdown period in France compared with the same interval in 2019. A secondary outcome was in-hospital mortality after admission. Mortality was assessed irrespective of the time between the day of admission and death. The impact of active SARS-CoV-2 infection on mortality was assessed in a subgroup analysis.

Data access and linkage

In the PMSI database, each patient is assigned a unique identifier, which remains unchanged over time, making linkage between hospital stays in different hospitals possible. Because the identifier is anonymous, patient consent was not required. Access to the database was submitted for authorization by the National Commission on Informatics and Liberty (authorization number 01947391).

Statistical analysis

The balance among patient co-variables was assessed using standardized mean differences (SMDs); a difference of 10 per cent or less was considered a well balanced result. The paired-samples Wilcoxon signed-rank test was used to examine the difference in median number of emergencies between lockdown and control periods. Potential confounders among measured co-variables were assessed by propensity score analysis. The probability of each patient being admitted during the lockdown was calculated by logistic regression incorporating all patient variables. Matching between the lockdown and control groups was performed using the nearest neighbour for propensity score and the exact method for the diagnosis code (using the 3-character category), sex, and age group. In the matched cohort, the balance between co-variables was also assessed using the SMD. Mortality odds ratios (ORs) for each surgical disease were estimated by means of a logistic univariable regression model. A similar method was used to calculate the OR for mortality associated with COVID-19. Patients with COVID-19 from the lockdown period were matched with those admitted during the same interval using the propensity score, as described above. An adjusted OR for mortality with confidence interval was calculated using the logistic regression model. All statistical analyses were done with R software (R Foundation for Statistical Computing, Vienna, Austria).

Results

During the lockdown, 57 589 emergency surgical admissions occurred in France, representing a decrease of 20.9 per cent compared with the same period in 2019 (72 819 admission). The nadir of admissions was observed during week 12 (–36.1 per cent), followed by gradual increases, until the first week after the end of lockdown (week 20), when the difference between 2019 and 2020 was negligible (). Acute surgical admissions a Overall and b according to regional prevalence of COVID-19 admission. The shaded area represents the period of lockdown in 2020. The decrease in emergency surgical admissions differed between regions, reflecting the overall prevalence of admissions for COVID-19 infection. This amounted to 15.6 and 17.2 per cent decreases for low- and intermediate-prevalence regions respectively, with a 26.8 per cent decrease for high-prevalence regions where the nadir in week 13 was 42.3 per cent (). The characteristics of patients admitted during the lockdown were similar to those of patients admitted during the same interval in 2019, with a mean(?) SMD of 0.015(0.013); no co-variable had a SMD larger than 0.100 (). Baseline characteristics Values in parentheses are percentages unless indicated otherwise; *values are mean(s.d.). SMD, standardized mean difference; AIDS/HIV, acquired immune deficiency syndrome/human imuunodeficiency virus. Trends in admission by chapter and category are reported in . The decrease in number of emergency admissions affected all chapters, except other reasons for admission, where numbers were relatively small. Admissions related to the injury and digestive system chapters were the most prevalent, and decreases of 27 and 19 per cent respectively were noted (P < 0.001). Chapters that had the greatest decrease were eye and adnexa (–40.5 per cent; P = 0.002) and respiratory system (–40.7 per cent; P < 0.001), whereas the least affected were neoplasms and pregnancy (8.5 and 7.5 per cent decrease respectively; P = 0.032 and 0.014). Surgical emergencies classified by chapter and category Values in parentheses are percentages. Diseases were classified in 78 blocks of categories. Among these, admissions decreased in 71 categories (91 per cent) and increased in seven (9.0 per cent), although these increases were not significant compared with 2019. Among the most common categories requiring emergency surgery, the greatest reduction was observed for injuries to the knee and lower leg (–43.8 per cent; P < 0.001) and injuries to the shoulder and upper arm (–32.2 per cent; P < 0.001). An important reduction for diseases of appendix was also observed (–21.0 per cent; P < 0.001), and admissions related to disorders of gallbladder, biliary tract, and pancreas decreased by 5.6 per cent, although this was not significantly different from 2019 (P = 0.089). Urolithiasis had a moderate increase (0.7 per cent), but the rate was not significantly different from that in 2019 (P = 0.860). Subcategories occurring in at least 400 admissions are reported in , and the complete list is available in . The number of operations for fractures, notably fracture of head and neck of femur (–20.5 per cent), pertrochanteric fracture (–16.8 per cent), fracture of lower leg, including ankle (irrespective of location: –56.0 per cent for upper end of tibia, –53.0 per cent for shaft of tibia, –41.4 per cent for lateral malleolus, –38.5 per cent for other fractures of lower leg) as well as fracture of shoulder and upper arm (upper end of humerus –28.7 per cent, shaft of humerus–36.5 per cent) all decreased significantly compared with 2019. Surgical emergencies classified by subcategory (selection of most common) Values in parentheses are percentages.

Mortality

Some 2433 deaths (1.87 per cent) were identified in the original population and 2129 (1.87 per cent) in the matched population (). After matching, the overall mortality rate was 1.92 per cent (1096 of 56 982) during the lockdown period and 1.81 per cent (1033 of 56 982) in 2019. The adjusted OR for death in the matched population was 1.06 (95 per cent c.i. 0.97 to 1.15). A significant increase in mortality rate was seen in high-prevalence zones (OR 1.22, 1.06 to 1.40); there were no changes in the low- and intermediate-prevalence zones (). Mortality by zone of prevalence of COVID-19 infection Values in parentheses are *percentages and †95 per cent confidence intervals.

Patients with COVID-19

In the subgroup of 863 patients with a diagnosis of COVID-19 infection, the overall mortality rate was 4.0 per cent among those with asymptomatic infection (OR 1.21, 95 per cent c.i. 0.44 to 2.80) and 12.3 per cent for those with symptomatic infection (OR 4.00, 2.60 to 6.32).

Discussion

This study reports a major decrease in emergency procedures during the COVID-19 pandemic lockdown period in France. The comprehensive data have permitted an in-depth analysis at a national level. There was a 20.9 per cent reduction in emergency surgical admissions to hospital between the 2020 lockdown and the corresponding interval in 2019. Over the weeks after the end of lockdown, no significant difference was observed between the two periods, suggesting a progressive return to usual surgical practices. The decrease in hospital admissions was associated with the regional prevalence of COVID-19, with the greatest reduction seen in the zones of highest prevalence. As no difference was observed between low- and intermediate-COVID-19 prevalence regions, two levels of impact on emergency surgeries were evident: a major impact in high-prevalence regions and a significantly lower level for all other regions. After matching on all available data, in-hospital mortality was slightly and significantly greater in the lockdown group than in the control group in high-prevalence zones. Additionally, the curve for the number of urgent operations week by week during the lockdown was a mirror image of the curve for number of hospital admissions for COVID-19, suggesting that the availability of hospital beds and operating rooms, requisitioned at the peak of the epidemic, had an impact on the operating capacities of the hospitals. These findings seem to confirm other experiences reported in the media in the early lockdown periods regarding the dramatic and unexpected reduction in non-COVID emergencies,. The present data are consistent with preliminary reports on acute-care surgery in other countries. In Spain, a 60 per cent decrease in acute surgery activity during the acute phase of the pandemic was reported by three tertiary hospitals in Madrid and Barcelona. Similarly, an important reduction in traumatic injuries (almost 38 per cent compared with 2019) was observed in a major trauma centre in the UK. A multicentre study from 18 general surgery units in a red zone of COVID-19 contagion reported a 45 per cent decrease in admissions for emergency surgical disease and a 41 per cent decrease in operations, despite no discernible differences in overall management approaches to patients who were admitted during the lockdown. Several factors have been put forward to explain the reduction in emergency surgery. The most common is the patients’ fear of being taken to hospitals receiving people with COVID-19 and the risk of contracting the virus in that environment. This fear has probably been nourished by worrying information transmitted by the media about the situation in hospitals, such as being overwhelmed by patients with COVID and facing equipment shortages including personal protection, and the lack of reassuring messages from hospitals on the management of patients without COVID. Precise reasons for hospital avoidance remain unclear; only indirect evidence is available. A study from the UK reported that people with low-risk conditions were less likely to present to an emergency department whereas the numbers of non-deferrable emergencies remained constant. There is already some evidence that avoidance of hospital attendance has led to delayed visits to an emergency department, resulting in more advanced disease. The study from Spain reported an increased delay of almost 24 h from the onset of symptoms to arrival at a hospital compared with that of a historical control group. A report from three medical centres in the state of New York found an increase in paediatric perforated appendicitis compared with uncomplicated appendicitis during the surge of COVID-19 outbreak. Similarly, a number of reports have documented decreases in emergency visits for kidney stone disease, with an increase in severe presentations necessitating admission,. These data are consistent with the findings of the present study, where there was a moderate increase (0.7 per cent) in the category urolithiasis (N20–N23). Lockdown restrictions led to unprecedented modifications in lifestyle, resulting in a reduction in road traffic collisions and consequent trauma. In the UK, road casulaties dicreased of 67 per cent compared with 2019. Associations between acute diseases and other lifestyle changes such as food and alcohol consumption, or physical activity, is less straightforward. During the 8-week lockdown in France, a survey of 3000 adults found that men gained an average of 2.7 kg and women 2.3 kg. If short-term weight gain influences the risk of cholecystitis, this might provide partly explain why the reduction in acute cholecystitis (K810, decrease of 5.6 per cent) was relatively modest. Another issue may have been a shift, when possible, from surgical to medical treatment. This has been suggested for uncomplicated appendicitis or cholecystitis,. This might also explain why some disorders for which there is no non-surgical alternative, such as incarcerated hernia or bowel perforation, showed a more moderate reduction. In the absence of evidence of catching up at the end of the lockdown period in the present study, it can be argued that conservative treatment represented a feasible solution for some patients. This warrants further study in relevant conditions. In many healthcare settings, elective surgery has been severely curtailed. Although this inevitably resulted in fewer complications requiring urgent surgical revision,, this must be set against patients listed for elective surgery whose problems deteriorated, leading to an urgent surgical admission. Despite this, the reduction for some conditions remains difficult to explain, in particular for life-threatening diseases such as bowel perforation or incarcerated hernia. The decrease in admissions for emergencies requiring surgical treatment in the present study was also related to the local prevalence of COVID-19. The analysis highlighted that the decrease in surgical emergencies was identical in zones with a low and intermediate prevalence of COVID-19 infection, and different from that in high-prevalence zones. The mortality rate was also associated with the regional prevalence of hospital admission for COVID-19, with an increased odds of a fatal event. This might suggest that, when a threshold is exceeded in emergency departments, the quality of care may be affected and the mortality rate increases. Previous studies,, with contradictory findings may have suffered from having relatively small sample sizes. The present study has limitations. It was based on an administrative database using classification of disease (ICD-10) codes, rather than on clinical data. Although ICD codes can be extremely accurate, they are not always consistent with clinical classification; for instance, there is no correlation between the Hinchey classification for perforated diverticulitis and ICD codes. The use of a standardized classification does, however, facilitate reproducibility and comparison. Furthermore, admissions were classified only with respect to the main diagnosis, which seemed appropriate for most patients, but could be a simplification for complex emergencies, such as patients with multiple traumatic injuries. No information on conservative treatment in primary or secondary care or medical treatment for surgical emergencies is available. As a result, the decrease in surgical admissions might have overestimated the real incidence of acute surgical conditions. These limitations, however, must be seen in the context of a comprehensive data set at national level which, as a result of using ICD-10 codes, permits comparison with other countries. The pandemic coupled with a national lockdown had a massive impact on emergency operations, especially in zones with a higher prevalence of COVID-19 infection, where in-hospital mortality increased significantly. Although the surgical community has the ability to adapt and cope with emerging viral infections, such as the human immunodeficiency virus and severe acute respiratory syndrome, it is essential that health authorities act to preserve an adequate workforce, prevent scarcity of resources, and continue to deliver appropriate messages to the public in order to maintain adequate surgical services. Disclosure. All authors delcare no conflict of interest concerning the present study.

Supplementary material

Supplementary material is available at BJS Open online. Click here for additional data file.
Table 1

Baseline characteristics

Control group (2019) (n = 72 819) Lockdown group (2020) (n = 57 589) SMD
Age (years)*56.49(23.08)57.34(23.01)0.037
 < 3013 104 (18.0)9461 (16.4)
 30–3910 611 (14.6)8744 (15.2)
 40–497203 (9.9)5658 (9.8)
 50–598127 (11.2)6318 (11.0)
 60–7514 294 (19.6)11 178 (19.4)
 > 7519 501 (26.8)16 230 (28.2)
Women 40 452 (55.5)32 466 (56.4)0.017
Charlson Co-morbidity Index score*0.42 (0.87)0.44 (0.89)0.026
 054 382 (74.7)42 275 (73.4)
 1–215 578 (21.4)12 856 (22.3)
 >32880 (4.0)2458 (4.3)
Myocardial infarction 875 (1.2)676 (1.2)0.003
Congestive heart failure 3698 (5.1)3140 (5.5)0.017
Peripheral vascular disease 2046 (2.8)1738 (3.0)0.012
Cerebrovascular disease 1700 (2.3)1352 (2.3)0.001
Dementia 3027 (4.2)2393 (4.2)<0.001
Chronic pulmonary disease 2413 (3.3)2228 (3.9)0.030
Rheumatic disease 350 (0.5)300 (0.5)0.006
Peptic ulcer disease 427 (0.6)317 (0.6)0.005
Mild liver disease 684 (0.9)608 (1.1)0.012
Diabetes without chronic complication 5172 (7.1)4276 (7.4)0.013
Diabetes with chronic complication 1399 (1.9)1009 (1.8)0.013
Hemiplegia or paraplegia 1281 (1.8)1014 (1.8)<0.001
Renal disease 2518 (3.5)2119 (3.7)0.012
Any malignancy, including lymphoma and leukaemia, except malignant neoplasm of skin 3330 (4.6)2933 (5.1)0.024
Moderate or severe liver disease 156 (0.2)154 (0.3)0.011
Metastatic solid tumour 1321 (1.8)1119 (1.9)0.01
AIDS/HIV 81 (0.1)54 (0.1)0.005
Obesity 3588 (4.9)3026 (5.3)0.015

Values in parentheses are percentages unless indicated otherwise; *values are mean(s.d.). SMD, standardized mean difference; AIDS/HIV, acquired immune deficiency syndrome/human imuunodeficiency virus.

Table 2

Surgical emergencies classified by chapter and category

ChapterBlock codeBlock labelControl group (2019) Lockdown group (2020) Difference (%) P
Infectious diseasesA30–A49Other bacterial diseases111 (0.15)72 (0.13)–35.140.014
Total111 (0.15)72 (0.13)–35.140.016
NeoplasmsC15–C26Malignant neoplasms, digestive organs671 (0.92)641 (1.11)–4.470.433
C50–C58Malignant neoplasms, breast and female genital organs65 (0.09)42 (0.07)–35.380.040
C60–C63Malignant neoplasms of male genital organs38 (0.05)42 (0.07)10.530.687
C64–C68Malignant neoplasms, urinary organs276 (0.38)263 (0.46)–4.710.581
C69–C72Malignant neoplasms, eye, brain, and central nervous system47 (0.06)34 (0.06)–27.660.206
C76–C80Malignant neoplasms, secondary and ill defined217 (0.3)186 (0.32)–14.290.087
C81–C96Malignant neoplasms, stated or presumed to be primary, of lymphoid, haematopoietic, and related tissue47 (0.06)42 (0.07)–10.640.521
D10–D36Benign neoplasms99 (0.14)85 (0.15)–14.140.395
Total1460 (2)1335 (2.32)–8.560.032
Nervous systemG00–G09Inflammatory diseases of the central nervous system25 (0.03)18 (0.03)–280.404
G50–G59Nerve, nerve root, and plexus disorders76 (0.1)49 (0.09)–35.530.011
G90–G99Other disorders of the nervous system25 (0.03)9 (0.02)–640.017
Total126 (0.17)76 (0.13)–39.680.003
Eye and adnexaH15–H19Disorders of sclera and cornea134 (0.18)57 (0.1)–57.460.083
H25–H28Disorders of lens26 (0.04)0 (0)–100<0.001
H30–H36Disorders of choroid and retina165 (0.23)147 (0.26)–10.910.536
H43–H45Disorders of vitreous body and globe70 (0.1)31 (0.05)–55.710.031
Total395 (0.54)235 (0.41)–40.510.002
Circulatory systemI20–I25Ischaemic heart diseases285 (0.39)187 (0.32)–34.39<0.001
I30–I52Other forms of heart disease1841 (2.53)1480 (2.57)–19.61<0.001
I60–I69Cerebrovascular diseases322 (0.44)264 (0.46)–18.010.031
I70–I79Diseases of arteries, arterioles, and capillaries1011 (1.39)897 (1.56)–11.280.051
Total3459 (4.75)2828 (4.91)–18.24<0.001
Respiratory systemJ30–J39Other diseases of upper respiratory tract304 (0.42)151 (0.26)–50.33<0.001
J85–J86Suppurative and necrotic conditions of lower respiratory tract24 (0.03)17 (0.03)–29.170.26
J90–J94Other diseases of pleura185 (0.25)136 (0.24)–26.490.005
Total513 (0.7)304 (0.53)–40.74<0.001
Digestive systemK00–K14Diseases of oral cavity, salivary glands, and jaws278 (0.38)165 (0.29)–40.650.004
K20–K31Diseases of oesophagus, stomach, and duodenum179 (0.25)157 (0.27)–12.290.204
K35–K38Diseases of appendix5520 (7.58)4357 (7.57)–21.07<0.001
K40–K46Hernia1614 (2.22)1209 (2.1)–25.09<0.001
K55–K63Other diseases of intestines3528 (4.84)2789 (4.84)–20.95<0.001
K65–K67Diseases of peritoneum494 (0.68)343 (0.6)–30.57<0.001
K80–K87Disorders of gallbladder, biliary tract, and pancreas3292 (4.52)3107 (5.4)–5.620.089
K90–K93Other diseases of the digestive system75 (0.1)46 (0.08)–38.670.016
Total14 980 (20.57)12 173 (21.14)–18.74<0.001
Skin and subcutaneous tissueL00–L08Infections of the skin and subcutaneous tissue2557 (3.51)1773 (3.08)–30.66<0.001
L60–L75Disorders of skin appendages137 (0.19)104 (0.18)–24.090.04
L80–L99Other disorders of the skin and subcutaneous tissue123 (0.17)96 (0.17)–21.950.13
Total2817 (3.87)1973 (3.43)–29.96<0.001
Musculoskeletal system and connective tissueM00–M03Infectious arthropathies638 (0.88)483 (0.84)–24.29<0.001
M15–M19Arthrosis37 (0.05)12 (0.02)–67.570.004
M20–M25Other joint disorders29 (0.04)6 (0.01)–79.31<0.001
M45–M49Spondylopathies46 (0.06)47 (0.08)2.170.942
M50–M54Other dorsopathies224 (0.31)226 (0.39)0.890.941
M65–M68Disorders of synovium and tendon600 (0.82)475 (0.82)–20.830.007
M70–M79Other soft tissue disorders371 (0.51)348 (0.6)–6.20.469
M80–M85Disorders of bone density and structure126 (0.17)82 (0.14)–34.92<0.001
M86–M90Other osteopathies437 (0.6)282 (0.49)–35.47<0.001
M95–M99Other disorders of the musculoskeletal system and connective tissue558 (0.77)454 (0.79)–18.640.012
Total3066 (4.21)2415 (4.19)–21.23<0.001
Genitourinary systemN00–N08Glomerular diseases24 (0.03)14 (0.02)–41.670.096
N10–N16Renal tubulointerstitial diseases1801 (2.47)1714 (2.98)–4.830.284
N17–N19Renal failure159 (0.22)139 (0.24)–12.580.265
N20–N23Urolithiasis2572 (3.53)2590 (4.5)0.70.860
N25–N29Other disorders of kidney and ureter27 (0.04)32 (0.06)18.520.442
N30–N39Other diseases of urinary system90 (0.12)56 (0.1)–37.780.012
N40–N51Diseases of male genital organs642 (0.88)446 (0.77)–30.53<0.001
N60–N64Disorders of breast24 (0.03)21 (0.04)–12.50.655
N70–N77Inflammatory diseases of female pelvic organs720 (0.99)539 (0.94)–25.14<0.001
N80–N98Non-inflammatory disorders of female genital tract408 (0.56)293 (0.51)–28.19<0.001
Total6467 (8.88)5844 (10.15)–9.63<0.001
Pregnancy, childbirth, and the puerperiumO00–O08Pregnancy with abortive outcome2161 (2.97)1925 (3.34)–10.920.026
O10–O16Oedema, proteinuria and hypertensive disorders in pregnancy, childbirth, and the puerperium238 (0.33)247 (0.43)3.780.748
O20–O29Other maternal disorders predominantly related to pregnancy51 (0.07)45 (0.08)–11.760.565
O30–O48Maternal care related to the fetus and amniotic cavity, and possible delivery problems1841 (2.53)1701 (2.95)–7.60.123
O60–O75Complications of labour and delivery3118 (4.28)2987 (5.19)–4.20.331
O80–O84Delivery71 (0.1)15 (0.03)–78.870.3
O95–O99Other obstetric conditions, not elsewhere classified31 (0.04)27 (0.05)–12.90.684
Total7511 (10.31)6947 (12.06)–7.510.014
Others symptoms and diseasesR00–R09Circulatory and respiratory systems98 (0.13)77 (0.13)–21.430.253
R10–R19Digestive system and abdomen35 (0.05)18 (0.03)–48.570.024
R30–R39Urinary system202 (0.28)162 (0.28)–19.80.025
R50–R69General symptoms and signs144 (0.2)112 (0.19)–22.220.049
Total479 (0.66)369 (0.64)–22.960.001
InjuriesS00–S09Injuries to the head794 (1.09)493 (0.86)–37.91<0.001
S10–S19Injuries to the neck46 (0.06)22 (0.04)–52.170.005
S20–S29Injuries to the thorax185 (0.25)111 (0.19)–400.019
S30–S39Injuries to the abdomen, lower back, lumbar spine, and pelvis684 (0.94)366 (0.64)–46.49<0.001
S40–S49Injuries to the shoulder and upper arm2080 (2.86)1411 (2.45)–32.16<0.001
S50–S59Injuries to the elbow and forearm4264 (5.85)3016 (5.24)–29.27<0.001
S60–S69Injuries to the wrist and hand5049 (6.93)4329 (7.52)–14.260.002
S70–S79Injuries to the hip and thigh11695 (16.06)9269 (16.1)–20.74<0.001
S80–S89Injuries to the knee and lower leg5506 (7.56)3096 (5.38)–43.77<0.001
S90–S99Injuries to the ankle and foot353 (0.48)277 (0.48)–21.530.005
T79Certain early complications of trauma27 (0.04)19 (0.03)–29.630.133
T80–T88Complications of surgical and medical care, not elsewhere classified551 (0.76)368 (0.64)–33.21<0.001
Total31 234 (42.88)22777 (39.55)–27.08<0.001
Other reasons for admissionZ80–Z99Persons with potential health hazards related to family and personal history, and certain conditions influencing health status222 (0.3)241 (0.42)8.560.592
Total222 (0.3)241 (0.42)8.560.762

Values in parentheses are percentages.

Table 3

Surgical emergencies classified by subcategory (selection of most common)

ChapterSubcategory codeSubcategory labelControl group (2019)Lockdown group (2020)Difference (%) P*
Circulatory systemI442Atrioventricular block, complete750 (1.03)589 (1.02)–21.470.002
I743Embolism and thrombosis of arteries of the lower extremities450 (0.62)459 (0.8)20.826
Digestive systemK352Acute appendicitis with generalized peritonitis607 (0.83)531 (0.92)–12.520.184
K353Acute appendicitis with localized peritonitis1945 (2.67)1588 (2.76)–18.350.002
K358Other and unspecified acute appendicitis2843 (3.9)2160 (3.75)–24.020.003
K565Intestinal adhesions (bands) with obstruction (after infection)884 (1.21)721 (1.25)–18.440.008
K566Other and unspecified intestinal obstruction460 (0.63)394 (0.68)–14.350.152
K610Anal abscess905 (1.24)679 (1.18)–24.970.004
K800Calculus of gallbladder with acute cholecystitis1507 (2.07)1411 (2.45)–6.370.67
K801Calculus of gallbladder with other cholecystitis497 (0.68)433 (0.75)–12.880.159
K810Acute cholecystitis557 (0.76)526 (0.91)–5.570.231
Skin and subcutaneous tissueL022Cutaneous abscess, furuncle, and carbuncle of trunk456 (0.63)317 (0.55)–30.480.013
L024Cutaneous abscess, furuncle, and carbuncle of limb589 (0.81)381 (0.66)–35.31<0.001
L050Pilonidal cyst and sinus with abscess744 (1.02)583 (1.01)–21.640.003
Musculoskeletal system and connective tissueM650Abscess of tendon sheath434 (0.6)319 (0.55)–26.50.008
M966Fracture of bone following insertion of orthopaedic implant, joint prosthesis, or bone plate558 (0.77)454 (0.79)–18.640.078
Genitourinary systemN132Hydronephrosis with renal and ureteral calculous obstruction584 (0.8)589 (1.02)0.860.9
N136Pyonephrosis442 (0.61)414 (0.72)–6.330.326
N201Calculus of ureter1698 (2.33)1806 (3.14)6.360.393
Pregnancy, childbirth, and the puerperiumO001Tubal pregnancy602 (0.83)516 (0.9)–14.290.09
O342Maternal care owing to uterine scar from previous surgery765 (1.05)764 (1.33)–0.130.887
O630Prolonged first stage (of labour)410 (0.56)378 (0.66)–7.80.716
O680Labour and delivery complicated by fetal heart rate anomaly1179 (1.62)1173 (2.04)–0.510.879
InjuriesS422Fracture of upper end of humerus1095 (1.5)781 (1.36)–28.68<0.001
S423Fracture of shaft of humerus551 (0.76)350 (0.61)–36.480.009
S520Fracture of upper end of ulna431 (0.59)275 (0.48)–36.19<0.001
S525Fracture of lower end of radius2720 (3.73)2061 (3.58)–24.23<0.001
S526Fracture of lower end of ulna496 (0.68)335 (0.58)–32.460.002
S626Fracture of other and unspecified finger(s)506 (0.69)331 (0.57)–34.580.002
S644Injury of digital nerve of other and unspecified finger484 (0.66)472 (0.82)–2.480.64
S663Injury of extensor muscle, fascia, and tendon of other and unspecified finger at wrist and hand level980 (1.35)917 (1.59)–6.430.096
S720Fracture of head and neck of femur6020 (8.26)4785 (8.31)–20.51<0.001
S721Pertrochanteric fracture3685 (5.06)3066 (5.32)–16.80.029
S722Subtrochanteric fracture of femur527 (0.72)403 (0.7)–23.530.118
S723Fracture of shaft of femur681 (0.93)454 (0.79)–33.33<0.001
S821Fracture of upper end of tibia704 (0.97)310 (0.54)–55.970.001
S822Fracture of shaft of tibia745 (1.02)350 (0.61)–53.02<0.001
S823Fracture of lower end of tibia450 (0.62)286 (0.5)–36.44<0.001
S826Fracture of lateral malleolus541 (0.74)319 (0.55)–41.04<0.001
S828Other fractures of lower leg1750 (2.4)1084 (1.88)–38.060.001

Values in parentheses are percentages.

Table 4

Mortality by zone of prevalence of COVID-19 infection

Prevalence zone Deaths*
Odds ratio
Control period Lockdown period
High374 (1.66)417 (2.02)1.22 (1.06, 1.40)
Intermediate283 (2.01)303 (2.05)1.02 (0.87, 1.20)
Low376 (1.85)376 (1.75)0.94 (0.81, 1.09)
Total1033 (1.81)1096 (1.92)1.06 (0.97, 1.15)

Values in parentheses are

*percentages and

†95 per cent confidence intervals.

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