Associated Factors and Outcomes of Cardiopulmonary Resuscitation of Intrahospital Cardiorespiratory Arrests in Adults of North-Kivu in a Resource-Limited Setting: A Cohort Study
Jean-Pierre Mumbere Kigayi1,2*, John Marshall3, Celine Kavira4, Hadassa Kyakimwa Anuarite5, Alfred Chasumba Murhula6, Augustin Kambale Sivihwa7, Tresor Benda Masehi7, Jeannette Kahindo Kasomo7, Cedric Kambale Tsongo2, Jonas Ngaruye2, Peter Trallagan8, Théophile Amani Kabesha9, Edwin Lugazia10, Bronwyn Rae11, Zacharie Kibendelwa Tsongo12
1Department of Anesthesiology, Faculty of Medicine, University of Goma, Goma, Democratic Republic of Congo (DRC).
2Department of Anesthesiology-Resuscitation and Intensive Care, HEAL Africa Hospital, Goma, DRC.
3World Federation of Intensive and Critical Care Research Academy, Toronto, Canada.
4School of Public Health, University of Goma, Goma, DRC.
5Laboratory Department, HEAL Africa Hospital, Goma, DRC.
6Department of Surgery, Faculty of Medicine, University of Goma, Goma, DRC.
7Kyondo General Referral Hospital, Kyondo Health Zone, Nord-Kivu, DRC.
8Department of Anesthesiology and Physiology, Faculty of Medicine, Notre Dame University of Australia, Sydney, Australia.
9Department of Ophthalmology, Faculty of Medicine, Official University of Bukavu, Bukavu, DRC.
10Department of Anesthesiology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
11Department of Anesthesiology, Northwestern University, Evanston, IL, USA.
12Department of Internal Medicine, Faculty of Medicine, University of Kisangani, Kisangani, DRC.
DOI: 10.4236/health.2025.1712099   PDF    HTML   XML   61 Downloads   346 Views  

Abstract

Introduction: Intrahospital Cardiopulmonary Arrest (IHCA) is a common critical event with high morbidity and mortality in resource-limited settings. This study examines the outcomes of Cardiopulmonary Resuscitation (CPR) for IHCA and their associated factors in North-Kivu in the Democratic Republic of Congo. Methods: This is an 18-month prospective cohort study conducted in two hospitals located in North-Kivu Province: HEAL Africa and Kyondo General Reference Hospital. Data were analyzed using Fisher’s exact test for categorical data and multinomial regression. A p-value < 0.05 was considered statistically significant. Results: We included 84 patients, 58.3% men, with a mean (SD) age of 57.7 years (±17.1). IHCA was due to a combination of causes in 39.3% and isolated hypoxia in 33.3%. Metabolic acidosis was observed in 50%. Hyponatremia and hyperkalemia were the most common electrolyte disturbances in patients with IHCA (52.8% and 44.4%, respectively). In 41.6% of cases, the alert was launched after CA, and 47.6% of CPR was initiated within 4 minutes of CA. Most resuscitations were led by residents. Asystole was noted in 83.3% of monitored patients. Advanced resuscitation with intubation was performed in 45.2% of patients. The rate of Return of Spontaneous Cardiac Activity (ROSC) after IHCA was 42.9%. The factors associated with ROSC were CPR initiated by doctors and nurses, and a history of cardiovascular diseases. The survival rate on the seventh and thirtieth day after ROSC was 8.3% and 6%, respectively. Three out of five patients had a complete recovery on the thirtieth day. Conclusion: IHCA in North-Kivu is due to multiple reversible causes and often occurs in patients with multiple combined illnesses and cardiovascular disease. Early detection and prevention measures for IHCA are still very limited. The ROSC rate for IHCA is high, contrasting with a very low survival rate at day 30 of IHCA.

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Kigayi, J.-P.M., Marshall, J., Kavira, C., Anuarite, H.K., Murhula, A.C., Sivihwa, A.K., Masehi, T.B., Kasomo, J.K., Tsongo, C.K., Ngaruye, J., Trallagan, P., Kabesha, T.A., Lugazia, E., Rae, B. and Tsongo, Z.K. (2025) Associated Factors and Outcomes of Cardiopulmonary Resuscitation of Intrahospital Cardiorespiratory Arrests in Adults of North-Kivu in a Resource-Limited Setting: A Cohort Study. Health, 17, 1482-1495. doi: 10.4236/health.2025.1712099.

1. Introduction

Cardiopulmonary Arrest (CA) is defined as a sudden cessation of the mechanical activity of the heart pump. It manifests clinically by the absence of a central pulse, absence of breathing or agonal breathing, and loss of consciousness [1]. Intrahospital CA (IHCA) occurs in a hospital setting. One to five out of 1000 hospitalized patients experience CA [2]. The incidence of IHCA constitutes a burden on the healthcare system worldwide. Most studies come from developed countries, and there is little data from developing countries. The survival rate after IHCA is highly variable worldwide and between institutions; it ranges from 0% to 36.6% [1]. The lowest survival rates are documented in developing countries. Fifty to sixty percent of IHCA occur in hospitals compared to 40% to 50% which occur in intensive care or in the operating room where monitoring is, in principle continuous [3]. In countries with limited resources, both the rate of Return of Spontaneous Cardiac Activity (ROSC) and ultimate survival are low. In Africa, the few studies carried out suggest low rates of ROSC in Uganda (7.4%) [4], Democratic Republic of Congo (DRC) (0%), and Kenya (4.2%) [5] [6]. These studies are often carried out in capital cities and not in peripheral provinces in African countries where knowledge of Cardiopulmonary Resuscitation (CPR) by healthcare staff is low [7]. We therefore want to study the sociodemographic and clinical aspects and the outcomes of CPR in IHCA in the East of the DRC, particularly in North-Kivu province in both urban and rural areas.

2. Materials and Methods

This is a prospective cohort study conducted in the North-Kivu province of the DRC. We selected HEAL Africa Hospital in an urban area and Kyondo General Referral Hospital in a rural area. Both have intensive care units, including six beds equipped to a level II standard for HEAL Africa and eight underequipped beds for Kyondo Hospital. All are highly utilized health facilities. HEAL Africa has a capacity of 300 beds, while Kyondo Hospital has 500. Our study population consisted of adult patients who experienced IHCA. Data were collected between July 1, 2023, and December 31, 2024. During day shifts (7:30 a.m. to 3:30 p.m.), data collection was conducted during a life-threatening emergency alert or a CA concluded among hospitalized patients. For data collection during night shifts (3:30 p.m. to 7:30 a.m.), investigators collected data from patient records and obtained additional information from the resuscitation team leader. Data from patients brought in deceased or with suspected brain death, either with a Glasgow score of 3/15 despite immediate emergency care on admission, and patients who had an Out-of-Hospital Cardiac Arrest (OHCA) 48 hours ago were excluded from the study. The independent variables consist of patients’ sociodemographic data: age, gender, occupation, marital status, urban or rural location, and method of payment for care; clinical data, namely: medical history, reason for admission to hospital, diagnosis on admission, hospitalization department, reason for alerting the resuscitation team, National Emergency Warning Score (NEWS) 2 at alert, cause of CA, Emergency Point Of Care (EPOC) result, time interval between arrest and initiation of CPR, qualification of the initiator of CPR, number in resuscitation team, team leader qualification, duration of resuscitation, days of resuscitation (weekend or not), time of CPR, types of resuscitation (basic or specialized), duration of CPR, drugs administered during CPR, cause of CA, and cause of death. The dependent variables were CPR outcomes: the primary outcome is the ROSC. The secondary outcome is patient survival after 24 hours, 7 days, and 30 days. The tertiary outcome is neurological status on day 30 after CPR for survivors. This status was assessed using the Glasgow Outcome Score (GOS), which classifies patients into five grades: Grade 1 is death, Grade 2 is neurovegetative status, Grade 3 is severe disability, Grade 4 is moderate disability, and Grade 5 is good neurological recovery. The collected data were processed and analyzed using IBM SPSS version 26 software. Categorical variables were presented as number and percentage. Continuous variables were presented as mean with standard deviation. The association between independent categorical variables was measured using Pearson’s chi-square test or approximated by Fisher’s exact test when indicated. Variables deemed clinically relevant were subjected to logistic regression to verify whether they constitute a determining factor for ROSC or survival after an IHCA. The result was considered statistically significant if the p-value was less than 0.05.

3. Results & Discussion

This study allowed us to identify IHCA patients’ sociodemographic characteristics (Table 1) and the distribution of clinical aspects of IHCA patients (Table 2). Also, it determines the direct and indirect causes of IHCA, the most commonly used type of resuscitation (Table 3), the outcomes of IHCA CPR (Table 4 and Figure 1), and its associated factors (Table 5) in a resource-limited setting in North-Kivu province, located in the east of DRC.

Table 1. Sociodemographics of patients’ distribution.

Variables

Total

Number

Percentage (%)

Sex

Male

49

58.3

Female

35

41.7

Age (years)

18 - 49

23

27.4

≥50

61

72.6

Mean (±SD)

57.2 (±17.2)

Location

Rural

41

48.8

Urban

43

51.2

Marital status

Single

10

11.9

Married

65

77.4

Widowed

9

10.7

Profession

Public servant

13

15.5

Traders

8

9.5

Agriculture

37

44

Housekeeper

8

9.5

Other

8

9.5

None

10

11.9

Payment mode

Assurance

28

33.3

Cash

35

41.7

Debt

21

25.0

Total

84

100.0

SD: Standard Deviation.

Table 2. Distribution of patients with IHCA according to clinical aspects.

Variables

Number

Percentage

Main complaint

Dyspnea

20

23.8

Loss or deterioration of conscience level

13

15.5

Physical weakness

10

11.9

Epigastric pain

6

7.1

Others

35

41.7

Diagnostics at admission

Stroke & severe HBP

13

15.5

Other cardiopathies

11

13.1

Pulmonary diseases

11

13.1

Surgical diseases

11

13.1

Other diseases

38

45.2

Warning reason

Cardiac arrest

35

41.6

Bradycardia

16

19

Apnea or bradypnia + hypoxia

24

28.5

Others

18

21.4

NEWS 2

1

1

1.2

5

2

2.4

≥7

41

48.8

Not done

36

48.6

IHCA witness

Health personnel

71

84.5

Patient guardian

4

4.8

None

9

10.7

HBP: High Blood Pressure.

Table 3. Cardiopulmonary resuscitation of IHCA.

Variables

Number

Percentage

CPR initiator

Doctor and nurse

45

53.6

Nurse

16

19.0

Doctor

12

14.3

Nurse anesthetist

5

6.0

None

6

7.1

CPR initiation time

Less than 1 minute

27

32.1

1 - 4 minutes

40

47.6

≥5 minutes

8

9.5

Not applicable

9

10.7

Clinical judgment on IHCA reversibility

Reversible

26

31.0

None reversible

58

69.0

Monitoring

Without MPM

42

50

With MPM

42

50

Types of rhythm on MPM

Asystoly

35

83.3

Pulseless Electrical Activity

4

9.6

Shockable rhythm

3

7.1

Direct causes of IHCA

Hypoxia

28

33.3

Many associated causes

33

39.3

Other causes

23

27.4

Number of health personnel in CPR team

0 - 2

19

22.6

≥3

65

77.4

Mean (±SD)

3.14 (±1.17)

Number of trained health personnel in CPR team

0 - 1

35

41.7

≥2

49

58.3

Mean (±SD)

2.13 (±1.46)

Resuscitation Team Leader

Anesthesiologist

9

10.7

Resident

40

47.6

Nurse Anesthetist

5

6.0

Others

30

35.7

Resuscitation duration

1 - 5 minutes

16

19.0

6 - 10 minutes

20

23.8

11 - 20 minutes

6

7.1

21 - 30 minutes

6

7.1

≥30 minutes

26

31.0

Not applicable

10

11.9

CPR types

Not applicable

10

11.9

Advanced plus intubation

38

45.2

Advanced without intubation

5

6.0

Basic without defibrillator

31

36.9

CPR Medication

Adrenaline

11

13.1

Adrenaline + oxygen

47

56.0

Oxygen

13

15.5

Others

13

15.5

Weekend

Yes

22

26.2

No

62

73.8

Times of arrest

Days shift

33

39.3

Night shift

51

60.7

Unit/Ward before IHCA

Intensive Care Unity

48

57.1

Internal Medicine

21

25.0

Others

15

17.9

ICU follow up after IHCA

ICU

54

94.7

Others units

3

5.2

MPM: Multiparameter Monitor. CPR: Cardiopulmonary Resuscitation. ICU: Intensive Care Unity.

Table 4. CPR outcomes of IHCA.

Variables

Rural

Urbain

Total (N = 84)

%

p

ROSC

No

25

23

48

57.1

0.515**

Yes

16

20

36

42.9

Global CPR outcome

Survival less than 24 hours

7

13

20

23.8

0.222*

Survival of 1 day - 7 days

4

3

7

8.3

Survival ≥ 14 days

1

4

5

6.0

Deaths

29

23

52

61.9

CPR outcome on 30th day

Deaths

40

39

79

94.0

0.360**

Survival

1

4

5

6.0

Glasgow Out Come Score

Grade 1

30

34

64

76.2

0.205*

Grade 2

9

4

13

15.5

Grade 3

0

1

1

1.2

Grade 4

1

0

1

1.2

Grade 5

1

4

5

6.0

Total

41

43

84

100

Percentage

48.8

51.2

100

100

ROSC: Return of Spontaneous Cardiac Activity. “*”: Pearson Chi-square, “**”: Fisher’s exact test.

Table 5. Associated factors of ROSC.

Total

ROSC

No ROSC

p-value

Exp B

Confidence Interval

Low limit

Upper limit

Gender

Female

35 (41.7)

18 (47.2)

17 (37.5)

0.109

0.351

0.097

1.265

Male

49 (58.3)

19 (52.8)

30 (62.5)

Area

Rural

41 (48.8)

16 (44.4)

25 (52.1)

0.348

2.348

0.394

13.978

Urban

43 (51.2)

20 (55.6)

23 (47.9)

Number of comorbidities

0 - 1

56 (66.7)

23 (63.9)

33 (68.8)

0.707

1.798

0.084

38.427

≥2

28 (33.3)

13 (36.1)

15 (31.3)

Types of comorbidities

Cardiovascular diseases

17 (20.2)

7 (19.4)

10 (20.8)

0.031

18.225

1.306

254.228

Melitus diabetes

7 (8.30)

1 (2.8)

6 (12.5)

0.174

9.690

0.366

256.290

Many associated diseases

25 (29.8)

12 (33.3)

13 (27.1)

0.355

4.093

0.207

81.102

None

23 (27.4)

11 (30.6)

12 (25.0)

0.241

3.775

0.409

34.840

Other diseases

12 (14.3)

5 (13.9)

7 (14.6)

Direct cause of IHCA

Hypoxia

28 (33.3)

13 (36.1)

15 (31.3)

0.414

0.486

0.086

2.746

Association of many causes

33 (39.3)

15 (41.7)

18 (37.5)

0.819

0.821

0.152

4.439

Other causes

23 (27.4)

8 (22.2)

15 (31.3)

Number of trained personnel in CPR team

0 - 1

35 (41.7)

11 (30.6)

24 (50.0)

0.132

3.035

0.716

12.871

≥2

49 (58.3)

25 (69.4)

24 (50.0)

CPR team leader

Anesthesiologist

9 (10.7)

6 (16.7)

3 (6.3)

0.832

0.769

0.068

8.730

Resident

40 (47.6)

13 (36.1)

27 (56.3)

0.171

3.888

0.557

27.161

Nurse Anesthetist

5 (6.0

3 (8.30)

2 (4.20)

0.598

2.385

0.094

60.355

Others

30 (35.7)

14 (38.9)

16 (33.3)

CPR initiator

Medical Doctor

12 (14.3)

4 (11.1)

8 (16.7)

0.000

4098617743.122

556663639.164

30177410957.638

Medical Doctor + Nurse

45 (53.6)

21 (58.3)

24 (50.0)

0.000

454832508.824

78810042.564

2624952408.997

Nurse

16 (19.0

6 (16.7)

10 (20.8)

1779267577.200

1779267577.200

1779267577.200

Nurse Anesthetist

5 (6.0)

5 (13.9)

0 (00.0)

None

6 (7.1)

0 (00.0)

6 (12.5)

0.994

262023173244070816

0.000

.c

Occurrence of CPR

Weekend days

22 (26.2)

12 (33.3)

10 (20.8)

0.253

0.468

0.127

1.721

Working days

62 (73.8)

24 (72.7)

38 (79.2)

ROSC: Return of Spontaneous Cardiac Activity; Reference category is: ROSC. Age classes 18 years - 49 years and ≥50 years were considered as covariables. C: value is defined on missing data in the system.

Figure 1. Survival curve for global outcomes among rural and urban patients.

ROSC of 42.9% in our study is elevated compared to that observed by NGUNGA in Kenya in 2016, where it was 23.2%, and that of Davidson Ocen in Uganda, which was 7.4%. This rate even exceeds that of some advanced countries such as Korea and Great Britain, which had 5.3% and 16.9%, respectively [4] [6]. We cannot compare it with KITSHIABI’s study in Kinshasa/DRC, which found a ROSC of 26.7%; this is the sustained ROSC of 20 minutes of spontaneous cardiac activity, while ours refers to a spontaneous cardiac activity of 2 minutes [5]. Nevertheless, this rate of ROSC is lower than that found in certain studies like that of Sun, with 54% of ROSC [8]. The difference observed in Nordic countries would be linked to the fact that the population is elderly with serious comorbidities at the terminal stage. The Hessulf study showed that 48% of patients who presented IHCA were over 75 years old, 65.1% of whom had kidney disease [9]. As for African countries, the observed difference is not justified by age because the population is often young. In Uganda, most patients (66.5%) were between 18 and 44 years old. Moreover, the average ages of patients in Kenya and our study were not different; 61.46 years (±19.7) and 57.2 years (±17.2), respectively. The low rate of ROSC would be justified by the inadequacy of the health system and the causes of IHCA. In addition, there was a shortage of staff; 63.2% of IHCAs were not witnessed compared to 84.5% of IHCAs witnessed by health personnel in our study [4]. There is an undeniable link between the time between the start of CPR and the chance of ROSC; the earlier the CPR, the better the outcome. Regarding the comorbidities of patients, 45% of patients in Uganda had HIV infection and most of the IHCA was related to trauma patients with severe traumatic brain injuries. The ROSC of 23.2% in Kenya also remains low, but this result hides a great discrepancy between public health facilities, whose ROSC was 1%, compared to 40% for private ones. The ROSC rate of private facilities is close to that which we found in the two facilities where we conducted the study. These facilities are also under private management, by the Non-Governmental Organization for Development for HEAL Africa and the Catholic denomination for Kyondo Hospital, which corroborates with the organizational aspects in the success of the CPR of IHCA [6]. The same reasons may also explain the difference observed for the 24-hour survival rate of IHCA, which turns out to be relatively high with 8.3% (7/84) in our study compared to 5.6% (5/90) observed at Kinshasa University Clinic in 2018 and 5.7% (11/190) in Uganda in 2014. In addition to the above, we can add the low rate of follow-up in ICU after IHCA, which was 50% at the Makerere University Clinic and 94.7% in North-Kivu. This increase would also be due to the high rate of admission in intensive care before CA (57.1%) of patients, similar to that observed at the Kinshasa University Clinics (56.7%) [5]. We noted a non-significant difference between survival from 24 hours to 7 days between rural and urban areas (Figure 1 and Table 5). However, we cannot ignore the fact that rural areas are often disadvantaged in terms of human resources and biomedical equipment. We had 50% of patients (42/84) who were not monitored on a multiparameter monitor before IHCA. Among these patients, 90.5% were from a rural hospital. As for 30-day survival and neurological status after IHCA, our result is very low (6%) compared to that observed in some countries in Europe or the USA, where this rate is more than 20% with a higher functional recovery rate. However, it is better than that of Kinshasa, where it was zero at discharge, or even that found in Uganda and Arabia [4]-[6] [9] [10]. This disparity is linked to the more improved healthcare system in more advanced countries compared to resource-limited countries and also to the lack of resuscitation research in developing countries [1]. We should therefore adopt specific strategies for our environment to increase the survival rate at discharge after ROSC or at the thirtieth day of IHCA and somewhat reduce this accusatory paradox of a mismatch between high ROSC and low survival rate after IHCA in our African countries, noting our province of North-Kivu.

The heart rhythm observed during IHCA is dominated by asystole (83.3%) in our study. This result is similar to that noted in other African countries with limited resources, such as Uganda, Kenya, and Ethiopia. This results from low multiparameter monitoring rates before IHCA, low index of suspicion of IHCA, and the virtual non-existence of continuous monitoring services for patients in vital distress. Shockable rhythms were rare, with a rate of 7.1% in our study, whereas at the Kinshasa University Clinics, its frequency was 10% [5]. This result is slightly higher compared to that of Uganda and Korea, where researchers found the shockable rhythm frequency of 5.4% and 5.3%, respectively. This result is lower than that found in the United Kingdom of England and Arabia, where researchers found the shockable rhythm frequency at 16.9% and 37.3%, respectively. In countries where this dysfunction has already been resolved, shockable rhythms are around 20% before IHCA. This rate sometimes reaches 84% in patients monitored on Holter. Moreover, it should be noted that IHCA preceded by a shockable rhythm is easily reversible and increases the ROSC rate if defibrillation is done early and effectively [1] [6] [9] [11]. To solve the problem of low survival rate after IHCA, prevention and early detection of patients at risk of CA will be among the fundamental bases. CA was the main reason for alerting the resuscitation team (41.6%). This result is not very different from that obtained by Fuchs A. in 2021 in Switzerland (46.6%) [10]. It was the CPR team to improve the outcome of IHCA. This team is not yet formally constituted in the two structures of our study. It was therefore an isolated call for help to participate in CPR. The implantation and training of this team remains a need to be met in North-Kivu. The rapid emergency response team must be trained in the two health facilities in order to activate the alert early for patients in life-threatening conditions or at high risk of IHCA to measure its effects on improving IHCA prevention. Thus, we could therefore come closer to the adage which says: “prevention is better than massage” [5]. Apart from various ungrouped diseases (45.2%), the causes of IHCA in this study are predominated by cardiovascular diseases with 28.6%, of which HBP represents 15.5%, followed by respiratory and surgical diseases with a frequency of 13.1% each. This result reflects that of other research carried out in developing countries, with the exception of the Ocen study, where HIV predominated in Uganda (45%), and contrasts with those of developed countries where the main causes are cardiac and pulmonary [1] [4] [12]. For our study, hypoxia is the second reversible cause of IHCA, which is explained by the complaints on admission; dyspnea having been the second complaint in our study (23.8%) preceded by the other non-grouped complaints (41.7%). This fact shows the importance of every symptom on admission and especially the NEWS 2 score. This predominance of several causes of IHCA was also mentioned by Pierre Michelet and François Kerbaul in 2013 [2]. In this study, 77.4% of patients were resuscitated by at least three caregivers, the majority of whom were resident doctors, who led 47.6% of CPRs. Contrary to the observation made by Ocen, who reported that CPRs performed on weekends were performed by a single person and had a low ROSC rate. In North-Kivu, the weekend is not a day off for health personnel. Most IHCAs occurred during working hours, which is similar to Ocen’s study. The times of occurrence of IHCA did not have a significant influence on ROSC [4]. We did not find a correlation between the immediate or global outcome and the CPR team leader. However, we found that ROSC occurred most frequently when the CPR was initiated either by a medical doctor or by a medical doctor plus nurse. Normally, knowledge should be related to education and experience [13]. Most CPRs were performed by residents. Residents should not be forgotten in CPR training because of their direct involvement in resuscitation and the low level of knowledge of CPR among healthcare personnel of all professional categories found in our previous study conducted in North-Kivu [7]. We agree with Michelet and Kerbaul, who stated: “training all hospital staff in alerting and first aid appears essential and largely determines the efficiency of the chain of survival” [2]. 45.2% of patients received specialized CPR with Oro-Tracheal Intubation. This rate is low compared to the study conducted at Kinshasa, where 86.6% were intubated, including 58.9% before CA [5]. Our study did not specify the frequency of patients previously intubated before CA, which limits the comparison.

We observed a low rate of use of adrenaline and oxygen in North-Kivu in CPR of IHCA compared to the ideal and the results of Kinshasa, where adrenaline was administered in 87.8% of patients and oxygen in 85.6%. Our result remains low compared to the use of adrenaline in Kenyan hospitals, which was 73.1% and 92.8%, respectively in public and private hospitals in urban areas [5] [6]. The use of adrenaline and oxygen is particularly low in rural areas, where only 51.2% of patients received adrenaline or oxygen during CPR. This low rate can be explained by the lack of oxygen sources in rural areas, where the ICU is less equipped, but also by the lack of awareness of epinephrine as a first-line drug in CPR of CA. In a survey on CPR of CA in North-Kivu, we found that 72.4% of caregivers did not classify epinephrine as a first-line drug in CPR of IHCA [7]. The use of epinephrine combined with effective chest compression is a contributing factor to ROSC and survival of IHCA [14]. Blood gas and ionogram were performed only in 42.7% (36/84), all of whom proved pathological in the peri-IHCA period. These disorders are predominated by metabolic acidosis, hyponatremia, hyperkalemia, and hyperglycemia in the current study. The rate of acid-base and electrolyte imbalances is higher than that found by Kim (7.1%). This is similar to most studies that have focused much more on OHCA [11] [15]. As for hyperglycemia, it remains low compared to that described in the literature. These disorders have proven to be independent factors of ROSC in OHCA and some IHCA. Our study is limited by a small number of patients who had blood gases and ionograms. Apart from the disorders mentioned, other studies have mentioned the importance of ionized calcium and dysmagnesemia observed after CA. Our study did not focus on other ions [8] [16]. Systematic screening for acid-base and electrolyte disorders in critically ill patients should be studied on a large number of patients to assess its effect on the prevention and management of IHCA.

Our study has certain limitations: first, the study was conducted over 18 months in two facilities in North-Kivu, which may not represent all healthcare facilities in North-Kivu. However, the inclusion of an urban and a rural facility brings us closer to the reality of healthcare facilities in North-Kivu province. Secondly, it did not take into account certain variables such as the Glasgow Coma Scale score at admission, the patients’ echocardiogram, and the post-IHCA outcome in the medium and long term, which would better explain the outcomes of survivors. Thirdly, the study did not assess CPR quality such as chest compression fraction and depth, which are critical determinants of both ROSC and neurological survival. In addition, we did not assess the physiological parameters, which would add some precision regarding the nature of the intervention to be considered. The strength of the study is that it followed up survivors for up to 30 days. Finally, the observations made are essentially clinical and paraclinical; no autopsy results were available. The promotion of autopsy must be initiated to understand the underlying causes of certain deaths.

4. Conclusion

In North-Kivu, the rate of ROSC after IHCA is 42.9% and is associated with cardiovascular comorbidity and CPR initiated by medical doctors and nurses. This rate of ROSC contrasts with a very low survival rate (6%) and functional recovery rate at discharge or on the 30th day of IHCA. The CPR alert is issued late. Most IHCAs occur during working days and on-call hours, and CPR is often led by residents within 1 to 4 minutes of the CA. Half of critically ill patients are not monitored on a multiparameter monitor. Asystole is the most frequently observed cardiac rhythm during CA. Advanced life support with intubation is commonly performed but has a low completion rate. The combination of several reversible causes and hypoxia is the main direct cause of IHCAs. IHCAs are due to diverse causes and cardiovascular diseases. EPOC is not often performed. Metabolic acidosis, hyponatremia, and hyperkalemia are the most common metabolic disorders observed.

Authors’ Contributions

JP Kigayi Mumbere is the principal investigator and corresponding author of the study. Trésor Benda Mahesi, Kahindo Kasomo, Kambale Tsongo, and Jonas Ngaruye are secondary investigators. The other authors reviewed the research protocol, read and edited the manuscript, and approved the final version for publication.

Ethics Approval

The study was authorized by the University of Goma Ethics Committee through its approval letter UNIGOM/CEM/012/2022. Helsinki Principles for human research were respected.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

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